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• Information Design and User Experience
• Cooperation Mode of 2D and 3D Interfaces on Destination Planning Tasks in the Location-based AR Application
• Generalized Cohen’s Kappa: A Novel Inter-rater Reliability Metric for Non-Mutually Exclusive Categories
• Knowledge Graph-based Machining Process Route Generation Method
• How to Share Color Impression Among Different Observers Using Simplicial Maps
• Task-Based Open Card Sorting: Towards a New Method to Produce Usable Information Architectures
• Emotive Idea and Concept Generation
• Survey on the Auditory Feelings of Strangeness while Listening to Music
• Text Reconstructing System of Editorial Text Based on Reader's Comprehension
• Interfaces for Learning and Connecting around Recycling
• Sound Logo to Increase TV Advertising Effectiveness Based on Audio-Visual Features
• Research on Visualization Method for Empathic Design
• A Study on HCI of a Collaborated Nurture Game for Sleep Education with Child and Parent
• Analysis of Resilient Behavior for Interaction Design
• How Information Influences the Way We Perceive Unfamiliar Objects – An Eye Movement Study
• Data Visualization and Big Data
• The Nikkei Stock Average Prediction by SVM
• What Causes Fertility Rate Difference among Municipalities in Japan
• Explore Data Quality Challenges Based on Data Structure of Electronic Health Records
• Feature Analysis of Game Software in Japan Using Topic Model and Structural Equation Modeling for Reviews and Livestreaming Chat
• Inductive Model Using Abstract Meaning Representation for Text Classification via Graph Neural Networks
• Enhancing Visual Encodings of Uncertainty through Aesthetic Depictions in Line Graph Visualisations
• Satisfaction Analysis of Group/Individual Tutoring Schools and Video Tutoring Schools
• Zebrafish Meets the Ising Model: Statistical Mechanics of Collective Fish Motion
• Research on New Design Methods for Corporate Value Provision in a DX (Digital Transformation) Society 〜Visualization of value by lifestyle derived from qualitative analysis
• Evaluating User Experience in Information Visualization Systems: UXIV an Evaluation Questionnaire
• Multimodal Interaction
• Study of HMI in Automotive ~Car design proposal with usage by the elderly
• Pilot Study on Interaction with Wide Area Motion Imagery Comparing Gaze Input and Mouse Input
• Development of a Speech-Driven Communication Support System Using a Smartwatch with Vibratory Nodding Responses
• Coordinated Motor Display System of ARM-COMS for Evoking Emotional Projection in Remote Communication
• Fundamental Considerations on Representation Learning for Multimodal Processing
• A Preliminary Study on Discrimination of Dominant Hand Based on Motion Analysis of Hand Movements by Image Analysis Using Deep Learning
• Glasses Encourage Your Choices: A System that Supports Indecisive Choosers by Eye-tracking
• Physiological Measures in VR Experiments - Some Aspects of Plethysmogram and Heart Rate
• Effects of Visual and Personality Impressions on the Voices Matched to Animated Characters
• Effects of Gaze on Human Behavior Prediction of Virtual Character for Intention Inference Design
• Interacting with AI and Intelligent Systems
• Development of a Light-Emitting Sword Tip Accompanying Thrusts and a Device for Judging Valid Thrusts by Light Spectrum Detection Without an Electric Judge in the Foil Event of Fencing Competitions
• A Study on Human-Computer Interaction with Text-to/from-Image Game AIs for Diversity Education
• A Generative Vase Design System Based on Users' Visual Emotional Vocabulary
• The Impact of AI Text-To-Image Generator on Product Styling Design
• Generating Various 3D Motions by Emergent Imitation Learning
• Personalized Sleep Stage Estimation based on Time Series Probability of Estimation for Each Label with Wearable 3-axis Accelerometer
• Controllable Features to Create Highly Evaluated Manga
• A Study on Trust Building in AI Systems through User Commitment
• Chatbot to Facilitate Opinion Formation in Web Search
• A State-of-Art Review on Intelligent Systems for Drawing Assisting
• Discussion Support Framework Enabling Advice Presentation That Captures Online Discussion Situation
• Triple Supportive Information for Matrix Factorization with Image, Text, and Social Networks
• An Analysis of Factors Associated with Self-Confidence in the Japanese.-Detecting Signs of Depression for Using Chatbots
• Extraction of the First Person from Japanese.

This two-volume set LNCS 14015 - 14016 constitutes the thoroughly refereed proceedings of the thematic area Human Interface and the Management of Information, HIMI 2023, which was held as part of HCI International 2023 which took place in Copenhagen, Denmark, during July 23-28, 2023. A total of 1578 papers and 396 posters have been accepted for publication in the HCII 2023 proceedings from a total of 7472 submissions. The papers included in the HCII-HIMI volume set were organized in topical sections as follows: Part I: Information design and user experience; data visualization and big data; multimodal interaction; interacting with AI and intelligent systems; Part II: Service design; knowledge in eLearning and eEducation; supporting work and collaboration

• Service Design
• Method for Assessing the Potential Impact of Changes in Software Requirements of Agile Methodologies based Projects
• Validation of Items of Aspects of Interests in Quality-in-use -Stakeholder Needs of Each System Domain
• Design Study of Wearable IV Pole: Service Design Perspective
• Extensibility Challenges of Scientific Workflow Management Systems
• The Effect of Color on the Visual Search Efficiency of Mobile Travel Service APP in Night Mode
• Research on Conversational Interaction Design Strategy of Shopping APP Based on Context Awareness
• Influence of Different Language Labels on Perception of Product Value
• Structural Equation Modeling For The Interplay Among Consumer Engagements With Multiple Engagement Objects In Consumer's Fashion
• Considerations for Health Care Services Related to the Menstrual Cycle
• Dialogue-Based User Needs Extraction for Effective Service Personalization
• The Impact of External Networks on Product Innovation in Social Purpose Organizations: An Empirical Research on Japanese Museums
• Does Guaranteeing Anonymity in SNS Use Contribute to Regional Revitalization
• Effects of Poor Visibility on Riding Anxiety in Riding a Bicycle that can be Ridden with two Infants
• Wayfinding and Navigation in the Outdoors - Quantitative and Data Driven Development of Personas and Requirements for Wayfinding in Nature
• Knowledge in eLearning and eEducation
• Analysis of Classroom Test Results for an Error-based Problem Presentation System for Mechanics
• Using Interactive Flat Panel Display for STEM Education based on SAMR Model
• Analysis of Effects of Raggedy Student CG Characters in Face-to-Face Lectures and Their On-demand Streaming
• Triangle Logic Recomposition Exercise for Three-Clause Argument and its Experimental Evaluation
• Proposal for a Semi-Subjective Learning Support System with Operation Indices Targeting Vectors
• Instructional Design of a VR-based Empathy Training
• Program to Primary School Children
• Classroom Practice of Code Sharing Platform to Encourage Refinement Activities
• Learning Support System for Programming that Promotes Understanding of Source Code Function through Behavior Modeling
• Proposal for Automatic Problem and Feedback Generation for use in Trace Learning Support Systems
• Improving Educational Outcomes: Developing and Assessing Grading System (ProGrader) for Programming Courses
• Development of VR Education System for Media Exchange in Cell Culture Operation
• Proposal of Learning Programs Using the Senseware
• Investigation of the Relationship Between Map Quality and Higher-Order Thinking in Kit-Build Concept Map
• Application of the Recomposition Method to Mind Map and Experimental Verification of Learning Effect
• Development of a VR Collaboration System to Support Reflection on the Learning Process of Oneself and Others
• Supporting work and collaboration
• Design of an Interview Script Authoring Tool for a Job Interview Training Simulator using Graph Transformations
• Human Factors and Ergonomics Awareness Survey of Professional Personnel in a Large-Scale Company from the Aerospace Industry
• Optimization of a Human-Machine Team for Geographic Region Digitization
• Crowdsourced Argumentation Feedback for Persuasive Writing
• An Online Opinion-Learning Experiment Simulating Social Interaction on Emerging Technologies: A Case Study of Genome-Edited Crops
• Tasks Decomposition Approaches in Crowdsourcing Software Development
• Comparison of Nature and Office Environments on Creativity - A Field Study
• A Conceptual Design of Management Interface for Wireless Sensor Network System
• What Affects the Success of Programmers in Query Validation Process? An Eye Tracking Study
• Comparative Analysis of Manipulation Skills of Experts and Non-Experts in Cell Culture Using VR Gloves
• Prototyping Process Analyzed from Dialogue and Behavior in Collaborative Design
• A Study on Visual Communication with Different Conveyance under MR Remote Collaboration
• Developers Foraging Behavior in Code Hosting Sites: A Gender Perspective

This two-volume set LNCS 14015 - 14016 constitutes the thoroughly refereed proceedings of the thematic area Human Interface and the Management of Information, HIMI 2023, which was held as part of HCI International 2023 which took place in Copenhagen, Denmark, during July 23-28, 2023. A total of 1578 papers and 396 posters have been accepted for publication in the HCII 2023 proceedings from a total of 7472 submissions. The papers included in the HCII-HIMI volume set were organized in topical sections as follows: Part I: Information design and user experience; data visualization and big data; multimodal interaction; interacting with AI and intelligent systems; Part II: Service design; knowledge in eLearning and eEducation; supporting work and collaboration

• Intro
• Foreword
• HCI International 2023 Thematic Areas and Affiliated Conferences
• List of Conference Proceedings Volumes Appearing Before the Conference
• Preface
• Human-Computer Interaction Thematic Area (HCI 2023)
• HCI International 2024 Conference
• Contents - Part I
• Design and Evaluation Methods, Techniques and Tools
• Co-creating User Journey Map - A Systematic Approach to Exploring Users' Day-to-Day Experience in Participatory Design Workshops
• 1 Introduction
• 2 Study Design
• 2.1 Workshop Participants and Locations
• 3 PD Workshop

• 3.1 Workshop 1: Learning NLP Technology
• 3.2 Workshop 2: Contextual Interview
• 3.3 Workshop 3: Creating the Journey Map
• 3.4 Workshop 4: Identifying Problems & Ideation
• 4 Findings
• 4.1 User Journey Map Generates Reflections
• 4.2 What They Also Learned from User Journey Map
• 4.3 Learning from Other Participants
• 4.4 Inspiration Brought by Brainwriting
• 5 Discussion
• 5.1 User Journey Map Enhanced Mutual Learning
• 5.2 Contradictory Reactions to the use of LEGO®
• 6 Conclusion
• References
• Integrate Gamification into Questionnaire Design
• 1 Introduction

• 1.1 Background and Motivation
• 1.2 Purpose
• 2 Methods
• 2.1 Preparation Phase
• 2.2 Investigation Phase
• 2.3 Analysis Phase
• 3 Results
• 3.1 Gamification Questionnaire and the Results of IPIP 50
• 3.2 Gamification Questionnaire and Intrinsic Motivation
• 4 Discussion
• 5 Conclusion
• References
• Exploring the Tensions of Self-tracking Wearable Technologies Through Design
• 1 Introduction
• 2 Self-tracking Practices Mediated by Wearable Technologies
• 3 Self-tracking Research: Towards Data Analysis, Usability, and Utility

• 4 Widening the View: Scholarly Debate and Tensions of the Phenomenon
• 4.1 Allusion to Objectivity and Non-neutrality of Data
• 4.2 Data Reductionism and Complexity of Lived Phenomena
• 4.3 Trust in Data and Reliance on Subjective Experience
• 4.4 Performance and Wellbeing
• 4.5 Surveillance and Self-surveillance
• 5 Addressing the Tensions Through Design: Alternative Design Approaches to Solutionism
• 6 Conclusions
• References
• User Clustering Visualization and Its Impact on Motion-Based Interaction Design
• 1 Introduction
• 2 Background
• 2.1 Movement Feature Extraction

• 2.2 Movement and Feature Visualization
• 3 Prototype Implementation
• 3.1 Pose Estimation and Tracking in 3D Space
• 3.2 Feature Extraction System
• 3.3 Visualization Engine
• 4 Proposal Assessment
• 4.1 Participants
• 4.2 Interview Method
• 4.3 Analysis
• 5 Results
• 5.1 Understanding User Behavior
• 5.2 Refining Design Practice
• 5.3 Impact on the Full Design-Production Cycle
• 6 Discussion
• 7 Conclusion and Future Work
• References
• eGLU-Box Mobile: A Smartphone App for Usability Testing by Italian Public Administration Webmasters
• 1 Introduction

The four-volume set LNCS 14011, 14012, 14013, and 14014 constitutes the refereed proceedings of the Human Computer Interaction thematic area of the 25th International Conference on Human-Computer Interaction, HCII 2023, which took place in Copenhagen, Denmark, in July 2023. A total of 1578 papers and 396 posters have been accepted for publication in the HCII 2023 proceedings from a total of 7472 submissions. The papers included in the HCI 2023 volume set were organized in topical sections as follows: Part I: Design and evaluation methods, techniques and tools; interaction methods and techniques; Part II: Children computer interaction; emotions in HCI; and understanding the user experience; Part III: Human robot interaction; chatbots and voice-based interaction; interacting in the metaverse; Part IV: Supporting health, quality of life and everyday activities; HCI for learning, culture, creativity and societal impact

• Intro
• Foreword
• HCI International 2023 Thematic Areas and Affiliated Conferences
• List of Conference Proceedings Volumes Appearing Before the Conference
• Preface
• Human-Computer Interaction Thematic Area (HCI 2023)
• HCI International 2024 Conference
• Contents - Part II
• Children Computer Interaction
• Participatory Designs for Computational Play
• 1 Introduction
• 2 Related Work
• 2.1 From Computational Thinking to Computational Play
• 2.2 Participatory Design and Computational Play
• 2.3 Accessing the Analogue and Digital
• 3 Method
• 3.1 Material
• 3.2 Procedure

• 3.3 Data Collection
• 3.4 Ethical Considerations
• 3.5 Analytic Framework
• 4 Findings
• 4.1 Experimenting and Organizing
• 4.2 Modelling and Arranging
• 4.3 Instruction and Problem-Solving
• 5 Discussion
• 5.1 Access Points to Knowledge
• 5.2 The Role of Scaffolding
• 5.3 Developing Computational Play
• 5.4 Conclusion
• References
• Do 3-4-Year-Old Preschoolers Know that the Fictional Characters in Television Programs Are not Real?
• 1 Introduction
• 2 Methods
• 2.1 Participants
• 2.2 Materials and Procedures
• 2.3 Data Analysis
• 3 Results
• 4 Discussion
• 5 Limitations

• Appendix 1
• Appendix 2
• Appendix 3
• Appendix 4
• Appendix 5
• Appendix 6
• Appendix 7
• References
• Story-Time Machine-Low-Tech Attachment Design for Pre-school Children
• 1 Introduction
• 2 Literature Review
• 2.1 Importance of Parent-Child Interaction and Parent-Child Reading and the Impact of 3C Devices on Parent-Child Relationships
• 2.2 Bedtime Stories and Smart Toys
• 2.3 Comparison of Teaching Aids for Children
• 3 Methodology
• 3.1 Design Research Plan
• 3.2 Design Research
• 4 Results and Discussion
• 5 Contributions and Future Research
• References

• Buddie: Design Exploration for Remote Interactions to Support Kids
• 1 Introduction
• 2 Background
• 2.1 Parent-Child Communication
• 2.2 Impacts of Social Isolation on Children During the COVID Pandemic
• 2.3 Flat Stanley Project
• 2.4 Tangible Interaction for Children's Remote Communication
• 2.5 Buddie: Design Process
• 3 Prototyping
• 3.1 The App
• 3.2 The Soft Toy
• 4 Children's Experiences
• 4.1 Participants
• 4.2 Background Interviews with Participants
• 4.3 Separation Anxiety
• 4.4 Feeling Guilty
• 4.5 Communication Technology
• 4.6 Experiences with Buddie

• 4.7 Feeling Connected
• 4.8 Personalization of Buddie Project
• 4.9 Collecting Kids' Favorite Objects
• 4.10 Creation of Digital Toys
• 4.11 Placing Digital Toys in the Pictures
• 4.12 Flat Eric and Ava Project
• 4.13 Participants' Reflections
• 5 Conclusion
• References
• Research Design Based on Children's Participative Edutainment Products
• 1 Introduction
• 2 Design of Participatory Entertainment Products
• 2.1 Design for Users
• 2.2 Design Method
• 2.3 Design Role Participation
• 2.4 Design Process
• 3 Implementation Process
• 4 Research Results
• 5 Conclusion
• References

The four-volume set LNCS 14011, 14012, 14013, and 14014 constitutes the refereed proceedings of the Human Computer Interaction thematic area of the 25th International Conference on Human-Computer Interaction, HCII 2023, which took place in Copenhagen, Denmark, in July 2023. A total of 1578 papers and 396 posters have been accepted for publication in the HCII 2023 proceedings from a total of 7472 submissions. The papers included in the HCI 2023 volume set were organized in topical sections as follows: Part I: Design and evaluation methods, techniques and tools; interaction methods and techniques; Part II: Children computer interaction; emotions in HCI; and understanding the user experience; Part III: Human robot interaction; chatbots and voice-based interaction; interacting in the metaverse; Part IV: Supporting health, quality of life and everyday activities; HCI for learning, culture, creativity and societal impact

• Intro
• Foreword
• HCI International 2023 Thematic Areas and Affiliated Conferences
• List of Conference Proceedings Volumes Appearing Before the Conference
• Preface
• Human-Computer Interaction Thematic Area (HCI 2023)
• HCI International 2024 Conference
• Contents - Part III
• Human Robot Interaction
• Towards Diversity, Equity, and Inclusion in Human-Robot Interaction
• 1 Introduction
• 2 Background Literature
• 2.1 Social Classification of Robots
• 2.2 Social Identity Theory
• 3 Experiment: Robot Ethnicity
• 3.1 Methodology
• 4 Results
• 5 Discussion and Conclusions

• 3.2 The Emotional State Subsystem
• 3.3 The Mood Subsystem
• 3.4 The Behaviour Generator
• 4 System Implementation
• 4.1 Testing the Architecture
• 5 Conclusions
• References
• Exploring the Recommendation Expressions of Multiple Robots Towards Single-Operator-Multiple-Robots Teleoperation
• 1 Introduction
• 2 Methods
• 2.1 Brainstorming for Expressions and Expressive Attribute
• 2.2 Multiple Expressions and Expressive Attributes
• 3 Web Survey
• 4 Result and Discussion
• 5 Limitation
• 6 Conclusion
• A Expressions and Expressive attributes
• B Images of Expressions

• C Detail descriptions of Expressions
• References
• Perception of a Mobile Service Robot's Proxemic Behavior and Appearance in Virtual Reality
• 1 Introduction
• 1.1 Virtual Reality
• 1.2 Discomfort
• 1.3 Factors Influencing HRI
• 1.4 Research Question
• 2 Method
• 2.1 Study 1
• Size and Speed
• 2.2 Study 2
• Size and Edge Shape
• 3 Results
• 3.1 Results of Study 1
• 3.2 Results of Study 2
• 4 Discussion and Limitations
• 5 Conclusion and Outlook
• References
• Introducing Playing Catch to Motivate Interaction with Communication Robots
• 1 Introduction
• 2 Related Research

• 3 Proposed Method
• 3.1 Overview of the Proposed Method
• 3.2 Implementation of the Prototype System
• 4 Experiment
• 4.1 Aim of the Experiment and Hypotheses
• 4.2 Outline of the Experimental Procedure
• 4.3 Content of Robot's Speech
• 4.4 Evaluation Criteria
• 5 Experimental Results and Discussion
• 5.1 Questionnaire Results on the Impression of the Robot (in All-Results)
• 5.2 Questionnaire Results on the Impression of the Robot (in First-Results)
• 5.3 Results of the Survey Regarding Playing Catch
• 5.4 Discussion
• 6 Conclusions
• References

The four-volume set LNCS 14011, 14012, 14013, and 14014 constitutes the refereed proceedings of the Human Computer Interaction thematic area of the 25th International Conference on Human-Computer Interaction, HCII 2023, which took place in Copenhagen, Denmark, in July 2023. A total of 1578 papers and 396 posters have been accepted for publication in the HCII 2023 proceedings from a total of 7472 submissions. The papers included in the HCI 2023 volume set were organized in topical sections as follows: Part I: Design and evaluation methods, techniques and tools; interaction methods and techniques; Part II: Children computer interaction; emotions in HCI; and understanding the user experience; Part III: Human robot interaction; chatbots and voice-based interaction; interacting in the metaverse; Part IV: Supporting health, quality of life and everyday activities; HCI for learning, culture, creativity and societal impact

• Intro
• Foreword
• HCI International 2023 Thematic Areas and Affiliated Conferences
• List of Conference Proceedings Volumes Appearing Before the Conference
• Preface
• Human-Computer Interaction Thematic Area (HCI 2023)
• HCI International 2024 Conference
• Contents - Part IV
• Supporting Health, Quality of Life and Everyday Activities
• Design and Performance Analysis of a Smart Bag Reminder System for Parents
• 1 Introduction
• 2 Related Work
• 2.1 Multi-modal Reminders in Various Ways
• 2.2 System of Reminders Using Light and Sound
• 2.3 Smart Bag Reminder

• 3 Realization of Prototypes
• 3.1 System Design
• 3.2 Implementation
• 4 Evaluation
• 4.1 Participant
• 4.2 Setting Up
• 4.3 Procedure
• 4.4 Measurements
• 5 Results
• 5.1 Quantitative Results
• 5.2 Qualitative Results
• 6 Discussion
• 7 Future Work and Conclusion
• References
• Possibility of Relaxation Level Measurement During Music Listening Using Reverberation Envelope
• 1 Introduction
• 2 Reverberation Envelope Index (E-value)
• 3 Relationship Between the E-value of a Musical Piece and Relaxation
• 3.1 E-value of a Musical Piece

• 3.2 Relationship Between the Relaxation Degrees and the Classical Music
• 4 Clarification of the Relationship Between Relaxation Degree and E-value
• 4.1 Relationship Between E-value and Different Playing Methods
• 4.2 Relationship Between the Relaxation Degree and Playing Methods
• 4.3 Relationship Between Different Parts of the Same Musical Piece with Different E-values and Relaxation
• 5 Discussion
• 6 Conclusions and Future Work
• References
• Interaction Design of Wrist Health Prevention Products Based on Persuasive Design and AHP-Entropy Weight Method
• 1 Introduction

• 2 Relevant Research Theory and Background
• 2.1 Wrist Health Status of SOHO Nationality
• 2.2 Research Status of Persuasive Design Application
• 2.3 Research and Application Status of AHP-Entropy Weight Method
• 2.4 Research Framework and Experimental Process
• 3 Study on Wrist Health Needs of SOHO Users
• 3.1 Questionnaire Design
• 3.2 Quantitative Analysis of SOHO Users' Wrist Health Needs
• 4 Construction of Persuasive Design Model for Wrist Health Prevention Products
• 4.1 Wrist Health Prevention Behavior Counseling Chart
• 4.2 Design Scheme of Promoting Behavior Motivation Model

• 5 AHP- Entropy Weight Method is Used to Analyze the Weight of Persuasion Design Scheme
• 5.1 Construction of Evaluation Index System
• 6 Design Evaluation and Practice
• 6.1 Guidelines for the Design of Persuasive Wrist Health Prevention Products APP
• 7 Conclusion and Prospect
• References
• Make It Short: A Pilot Study on an Adaptive Nutrition Tracking App
• 1 Introduction
• 2 Background
• 2.1 Food Tracking
• 2.2 Nutrition Apps
• 2.3 Food Guidelines
• 3 Technical Concept
• 3.1 Tracking Approach
• 3.2 User Interface
• 4 Evaluation
• 4.1 Methodology
• 4.2 Participants

The four-volume set LNCS 14011, 14012, 14013, and 14014 constitutes the refereed proceedings of the Human Computer Interaction thematic area of the 25th International Conference on Human-Computer Interaction, HCII 2023, which took place in Copenhagen, Denmark, in July 2023. A total of 1578 papers and 396 posters have been accepted for publication in the HCII 2023 proceedings from a total of 7472 submissions. The papers included in the HCI 2023 volume set were organized in topical sections as follows: Part I: Design and evaluation methods, techniques and tools; interaction methods and techniques; Part II: Children computer interaction; emotions in HCI; and understanding the user experience; Part III: Human robot interaction; chatbots and voice-based interaction; interacting in the metaverse; Part IV: Supporting health, quality of life and everyday activities; HCI for learning, culture, creativity and societal impact

• Waste Classification from Digital Images Using ConvNeXt
• A Federated Learning approach for text classification using NLP
• A_Method_for_Face_Image_Inpainting_Based_on_Autoencoder_and_Adve rsarial_Generative_Networks
• Traffic Sign Recognition from Digital Images by Using Deep Learning
• Youtube Engagement Analytics via Deep Multimodal Hybrid Fusion
• Dynamic Point Cloud Compression with Cross-Sectional Approach
• Event-based visual sensing for human motion detection and classification at various distances
• On Low-Resolution Face Re-identification with High-Resolution-Mapping
• On Skin Lesion Recognition using Deep Learning 50 Ways to Choose Your Model
• Enhancing Automated Baggage Inspection Using Simulated X-ray Images of 3D Models
• A Wasserstein GAN for Joint Learning of Inpainting and Spatial Optimisation Rapid On-site Weed Identification with Machine Learning
• Remote Tiny Weeds Detection
• Combining_Multivision_Embedding_in_Contextual_Attention_for_Viet namese_Visual_Question_Answering
• Depth Estimation of Traffic Scenes from Image Sequence Using Deep Learning.

This book constitutes the conference proceedings of the 10th Pacific Rim Symposium on Image and Video Technology, PSIVT 2022, held in Bintan Island, Indonesia, in November 2022. A total of 15 papers were carefully reviewed and selected from 18 submissions. The main conference focuses on theoretical advances or practical implementations in image and video technology.

• Intro
• Preface
• Organization
• Contents
• A Position-Aware Word-Level and Clause-Level Attention Network for Emotion Cause Recognition
• 1 Introduction
• 2 Related Work
• 3 Methodology
• 3.1 The Definition of Emotion Cause Recognition
• 3.2 Position-Aware Word-Level and Clause-Level Attention Network for Emotion Cause Recognition
• 3.3 Model Training
• 4 Experiment
• 4.1 Experimental Settings
• 4.2 Experimental Results
• 4.3 Qualitative Analysis
• 5 Conclusion and Future Work
• References
• ID-Agnostic User Behavior Pre-training for Sequential Recommendation

• 1 Introduction
• 2 Preliminaries
• 3 Methodology
• 3.1 ID-Agnostic User Behavior Pre-training
• 3.2 Fine-Tuning for Recommendation
• 4 Experiments
• 4.1 Experimental Setup
• 4.2 Experimental Results
• 5 Related Work
• 6 Conclusion
• References
• Enhance Performance of Ad-hoc Search via Prompt Learning
• 1 Introduction
• 2 Related Work
• 2.1 Ad Hoc Search with PTM
• 2.2 Prompt Learning
• 3 Preliminary
• 3.1 Ad hoc Search
• 3.2 Prompt Learning
• 4 Methodology
• 5 Experiments
• 5.1 Dataset and Metric
• 5.2 Experimental Setup
• 5.3 Result and Analysis
• 5.4 Case Study

• 6 Conclusion
• References
• Syntax-Aware Transformer for Sentence Classification
• 1 Introduction
• 2 Syntax-Aware Transformer
• 2.1 Syntactic Subnetwork
• 2.2 Semantic Subnetwork
• 2.3 Merging Layer
• 3 Experiments
• 3.1 Datasets
• 3.2 Experimental Settings
• 3.3 Baseline Models
• 3.4 Results and Discussion
• 3.5 Case Study
• 4 Conclusions
• References
• Evaluation of Deep Reinforcement Learning Based Stock Trading
• 1 Introduction
• 2 Related Works
• 3 RL Modeling of Stock Trading
• 3.1 Problem Description
• 3.2 Mathematical Presentation
• 3.3 Trading Details

• 3.4 Feasibility Analysis of RL-Based Stock Trading
• 4 Experiments
• 4.1 Stock Dataset
• 4.2 Methodology
• 4.3 Results
• 5 Conclusion and Future Works
• References
• InDNI: An Infection Time Independent Method for Diffusion Network Inference
• 1 Introduction
• 2 Related Work
• 3 Problem Statement
• 4 InDNI Algorithm
• 4.1 Node Representation Learning
• 4.2 Similarity Measure
• 4.3 Filtering Candidate Node Pairs
• 4.4 Network Inference
• 5 Experiments
• 5.1 Experimental Setup
• 5.2 Results and Discussion
• 6 Conclusion and Future Work
• References

• Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations
• 1 Introduction
• 2 Related Work
• 2.1 Initial Retrieval
• 2.2 Neural Representations for IR
• 3 Our Approach
• 3.1 Symbolic Index
• 3.2 Neural Index
• 3.3 Parallel Search Scheme
• 3.4 Sequential Search Scheme
• 3.5 Discussions
• 4 Experiments
• 4.1 Baselines and Experimental Settings
• 4.2 Evaluation Methodology
• 4.3 Retrieval Performance and Analysis
• 4.4 Analysis on Retrieved Relevant Documents
• 5 Conclusions
• References

This book constitutes the refereed proceedings of the 28th China Conference on Information Retrieval, CCIR 2022, held in Chongqing, China, in September 2022. Information retrieval aims to meet the demand of human on the Internet to obtain information quickly and accurately. The 8 full papers presented were carefully reviewed and selected from numerous submissions. The papers provide a wide range of research results in information retrieval area.
(source: Nielsen Book Data)

• Block Ciphers
• Best Paper: How Fast Can SM4 Be in Software?
• LLLWBC: A New Low-Latency Light-Weight Block Cipher
• New Automatic Search Tool for Searching for Impossible Differentials Using Undisturbed Bits
• Public key Encryption & Signature
• You Can Sign but Not Decrypt: Hierarchical Integrated Encryption and Signature
• SR-MuSig2: A Scalable and Reconfigurable Multi-signature Scheme and Its Applications
• McEliece-type encryption based on Gabidulin codes with no hidden structure
• Quantum
• Optimizing the depth of quantum implementations of linear layers
• IND-CCA Security of Kyber in the Quantum Random Oracle Model, Revisited
• MPC
• Practical Multi-party Private Set Intersection Cardinality and Intersection-Sum Under Arbitrary Collusion
• Amortizing Division and Exponentiation
• Cryptanalysis
• Generalized Boomerang Connectivity Table and Improved Cryptanalysis of GIFT
• Cryptanalysis of Ciminion
• Clustering Effect of Iterative Differential and Linear Trails
• Differential Cryptanalysis of Round-reduced SPEEDY Family
• Mathematical aspects of Crypto
• A note on inverted twisted Edwards curve
• Efficiently Computable Complex Multiplication of Elliptic Curves
• Several classes of Niho type Boolean functions with few Walsh transform values
• Stream ciphers
• Higher-Order Masking Scheme for Trivium Hardware Implementation
• An Experimentally Verified Attack on 820-Round Trivium
• Malware
• HinPage: Illegal and Harmful Webpage Identification Using Transductive Classification
• Detecting API Missing-Check Bugs Through Complete Cross Checking of Erroneous Returns
• Efficient DNN Backdoor Detection Guided by Static Weight Analysis
• Mimic Octopus Attack: Dynamic Camouflage Adversarial Examples using Mimetic Feature for 3D Humans
• Lattices
• Subfield Attacks on HSVP in Ideal Lattices
• On the Measurement and Simulation of the BKZ Behavior for q-ary Lattices
• Inferring Sequences Produced by the Quadratic Generator.

This book constitutes the refereed proceedings of the 18th International Conference on Information Security and Cryptology, Inscrypt 2022, held in Beijing, China during December 1113, 2022. The 23 full papers and 3 short papers included in this book were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: Block Ciphers, Public key Encryption & Signature, Quantum, MPC, Cryptanalysis, Mathematical aspects of Crypto, Stream ciphers, Malware, Lattices.

• Symmetric-Key Cryptography
• Improved Differential Cryptanalysis on SPECK Using Plaintext Structures
• Linear Cryptanalysis and Its Variants with Fast Fourier Transformation Technique on MPC/FHE/ZK-Friendly Fp-based Ciphers
• A New Correlation Cube Attack Based on Division Property
• The Triangle Differential Cryptanalysis
• Key Recovery Attacks on Grain-like Keystream Generators with Key Injection
• Related-Cipher Attacks: Applications to Ballet and ANT
• Cryptanalysis of SPEEDY
• Reconsidering Generic Composition: the modes A10, A11 and A12 are insecure
• Exploring Formal Methods for Cryptographic Hash FunctionImplementations
• Public-Key Cryptography
• A Tightly Secure ID-Based Signature Scheme under DL Assumption in AGM
• Compact Password Authenticated Key Exchange from Group Actions
• Multi-key Homomorphic Secret Sharing from LWE without Multi-key HE
• Identity-Based Encryption from Lattices Using Approximate Trapdoors
• Homomorphic Signatures for Subset and Superset Mixed Predicates and Its Applications
• Adaptively Secure Identity-Based Encryption from Middle-Product Learning with Errors
• Post-Quantum Cryptography
• Quantum-access Security of Hash-based Signature Schemes
• Tightly Secure Lattice Identity-Based Signature in the Quantum Random Oracle Model
• Ghidle: Efficient Large-State Block Ciphers for Post-Quantum Security
• Quantum Algorithm for Finding Impossible Differentials and Zero-Correlation Linear Hulls of Symmetric Ciphers
• Memory-Efficient Quantum Information Set Decoding Algorithm
• Cryptographic Protocols
• CSI-SharK: CSI-FiSh with Sharing-friendly Keys
• Practical Verifiable Random Function with RKA Security
• Statistically Consistent Broadcast Authenticated Encryption with Keyword Search Adaptive Security from Standard Assumptions
• Modular Design of KEM-Based Authenticated Key Exchange
• Reusable, Instant and Private Payment Guarantees for Cryptocurrencies
• System Security
• BinAlign: Alignment Padding based Compiler Provenance Recovery
• Encrypted Network Traffic Classiffication with Higher Order Graph Neural Network

This book constitutes the refereed proceedings of the 28th Australasian Conference on Information Security and Privacy, ACISP 2023, held in Brisbane, QLD, Australia, during July 5-7, 2023. The 27 full papers presented were carefully revised and selected from 87 submissions. The papers present and discuss different aspects of symmetric-key cryptography, public-key cryptography, post-quantum cryptography, cryptographic protocols, and system security

• Tangential shear stress in an oscillatory flow of a viscoelastic fluid in a flat channel
• Comparison of Finite Difference Schemes of Different Orders of Accuracy for the Burgers Wave Equation Problem
• Numerical solution of the combustion process using the computer package ANSYS fluent
• Simulation Modeling of Reliability of Packet Switching Unit
• Analytical Model for Assessing the Reliability of the Functioning of the Adaptive Switching Node
• Artificial intelligence software architecture in the field of cardiology and application in the cardio vessel project using CJM and customer development methods
• Using discretization and numerical methods of problem 1d-3d-1d model for blood vessel walls with Navier-Stokes
• Numerical simulation of a flow in a two-dimensional channel on the basis of a two-liquid turbulence model
• Application fuzzy neural network methods to detect cryptoattacks on financial information systems based on blockchain technology
• Method authentication of objects information communication systems
• TEDCTSSA: Trust Enabled Data Collection Technique based Sparrow Search Algorithm for WSN-based Applications
• ISTOA: An improved Sooty Tern Optimization Algorithm for multilevel threshold image segmentation
• Implementing digital transformation in the logistics system of Uzbekistan
• Numerical modeling of vertical axis wind turbines using ANSYS FLUENT software
• "i'll wait 4 ur answr!" A Study on Modern Style of Cyber-Writing and User Reactions
• Improvement of information support in intelligent information energy systems
• The Assessment of the Effectiveness of the Development of Digital Technologies in Commercial Banks in Uzbekistan
• The Study of the Impact of the Digital Economy on the Growth of E-Government Services in Uzbekistan
• Deep learning algorithm for classifying dilated cardiomyopathy and hypertrophy cardiomyopathy in transport workers
• eCommerce benchmarking: theoretical background, variety of types, and application of competitive-integration benchmarking
• Cryptocurrencies as the money of the future
• A Data Security Technique Combining Asymmetric Cryptography and Compressive Sensing for IoT Enabled Wireless Sensor Networks
• Energy Efficient and Secure Scheme based Compressive Sensing method for Internet of Vehicles
• Impact of digital technologies on women's employment
• The impact of digitalisation on the safe development of individuals in society
• Econometric Evaluation of the Efficiency of the Management of the Enterprise through the Supply of Raw Materials in Oil Enterprises in the Conditions of the Digital Economy
• The impact of digital infrastructure, foreign direct investment and trade openness on economic growth: In the case of Uzbekistan
• The impact of the financial ratios on the financial performance. A case of Chevron Corporation (CVX)
• The impact of the digitalisation of payment systems on the profitability of commercial banks
• The main aspects and benefits of digital transformation of business entities
• The influence of the capital structure of state enterprises on the profitability of the enterprise
• Exploring the development of China's digital trade in the context of the domestic and international double cycle
• A systematic mapping study of using the cutting-edge technologies in marketing: the state of the art of four key new-age technologies
• Social Media Marketing for Educational Purposes: Goals, Objectives and Content of the Training Course
• Digital Marketing and Smart Technology Marketing Systems as the future of metaverse
• The impact of the digital economy on the development of higher education
• What is the state-of-the-art contribution of the higher education system to the digital economy: a systematic mapping study on changes and challenges
• Innovating primary education of promoting students' language competencies through mobile assisted language learning approach: Selection framework of innovative digital technologies
• Econometric assessment of the dynamics of development of the export authority of small business and private business subjects in the conditions of the digital economy
• The significance of the Internet of Things for ensuring the smooth operation of network functions in fintech
• Impact of E-government on Poverty Rate: a Cross- Country Empirical Assessment
• An empirical investigation of the relationship between e-government development and multidimensional poverty
• On Digital Twin Software and Cyber Threats
• On local services based on non-standard Wi-Fi Direct usage model
• Compatibility analysis between 5G NR and ultra-wideband devices in the 6425-7125 MHz frequency band
• 6 GHz band sharing study for FWA base stations and GEO satellite receivers
• Federated Learning Strategies Over Wireless Channels
• Data Routing in UAV Networks with Multiple Data Sources using Steiner Tree
• Reduced complexity distributed arithmetic architecture for FIR filters
• Blockchain-driven Hybrid Model for IoT Authentication
• An Heuristic Approach for Mapping of Service Function Chains in Softwarized 5G Networks
• Multi-threshold hysteresis-Based Congestion Control for UAV-based Detection Sensor Network
• Analysis of the capacity gain of Probability Shaping QAM
• LoRa Mesh Network for Image Transmission: An Experimental Study
• Blockchain Technology - Innovation for Better Collaboration and Increased Efficieny. The U.S. Logistics and Trucking Industry Case
• Econometric Study of the Impact of the Digital Economy on the Gross Product in Anti-monopoly Conditions
• Predictive models for effective management of e- commerce in New Uzbekistan
• The role of IT on transportation, logistics and the economic growth among Central Asian countries.

This book constitutes the joint refereed proceedings of the 22nd International Conference on Internet of Things, Smart Spaces, and Next Generation Networks and Systems, NEW2AN 2022, held in Tashkent, Uzbekistan, in December 2022. The 58 regular papers presented in this volume were carefully reviewed and selected from 282 submissions. The papers of NEW2AN address various aspects of next-generation data networks, while special attention is given to advanced wireless networking and applications. In particular, the authors have demonstrated novel and innovative approaches to performance and efficiency analysis of 5G and beyond systems, employed game-theoretical formulations, advanced queuing theory, and machine learning. It is also worth mentioning the rich coverage of the Internet of Things, optics, signal processing, as well as digital economy and business aspects.

• Insights and Requirements for Future Workflow Scheduling.- Technical papers.- On the Feasibility of Simulation-driven Portfolio Scheduling for Cyberinfrastructure Runtime Systems.- AI-Job Scheduling on Systems with Renewable Power Sources.- Toward Building a Digital Twin of Job Scheduling and Power Management on an HPC System.- Encoding for Reinforcement Learning Driven Scheduling.- RADICAL-Pilot and PMIx/PRRTE: Executing heterogeneous workloads at large scale on partitioned HPC resources.- RARE: Renewable Energy Aware Resource Management in Datacenters.- Dynamic Management of CPU Resources Towards Energy Efficient and Profitable Datacentre Operation.- Optimization of Execution Parameters of Moldable Ultrasound Workflows under Incomplete Performance Data.- Scheduling of Elastic Message Passing Applications on HPC Systems.- Improving Accuracy of Walltime Estimates in PBS Professional using Soft Walltimes.- Re-making the Movie-making Machine.- Open Scheduling Problems.- Using Kubernetes in Academic Environment: Problems and Approaches.
• (source: Nielsen Book Data)

This book constitutes the thoroughly refereed post-conference proceedings of the 25th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2022, held as a virtual event in June 2022 (due to the Covid-19 pandemic).The 12 revised full papers presented were carefully reviewed and selected from 19 submissions. In addition to this, 1 keynote paper was included in the workshop. The volume contains two sections: Technical papers and Open Scheduling Problems.
(source: Nielsen Book Data)

• Designing Learning Experiences
• Security and Privacy in Academic Data Management at Schools: SPADATAS Project
• The Rallye Platform: Mobile Location-based Serious Games for Digital Cultural Heritage
• An e-Learning Application for Children Suffering from Autism
• Two-phases AI Model for a Smart Learning System
• Learning System for Relational Algebra
• Design and Simulation of an IoT Intelligent University Campus for Academic Aim
• Behavioral Coding for Predicting Perceptions of Interactions in Dyads
• Towards Accessible, Sustainable and Healthy Mobility: the City of Barcelona as Case Study
• Augmenting Online Classes with an Attention Tracking Tool May Improve Student Engagement
• A Review on Modular Framework and Artificial Intelligence-based Smart Education
• Technology and Education as Drivers of the Fourth Industrial Revolution Through the Lenses of The New Science of Learning
• How do we Move Back?' - A Case Study of Joint Problem-Solving at an Interactive Tabletop Mediated Activity
• Designing a Pedagogical Strategy for the Implementation of Educational Technology in Collaborative Learning Environments
• Discovering Best Practices for Educational Video Conferencing Systems
• Experimental Design and Validation of i-Comments for Online Learning Support
• Tailoring Persuasive, Personlised Mobile Learning Apps for University Students
• Understanding the Learning Experience
• Investigating the Critical Nature of HE Emergency Remote Learning Networks During the COVID-19 Pandemic
• Decoding Student Error in Programming: An Iterative Approach to Understanding Mental Models
• What do Students Think about Learning Supported by e-Schools Digital Educational Resources? .-A Human or a Computer Agent: The Social and Cognitive Effects of an e-Learning Instructor's Identity and Voice Cues
• The Study on Usability and User Experience of Reading Assessment Systems: A Preliminary Research
• Learning with Videos and Quiz Attempts: Explorative Insights into Behavior and Patterns of MOOC Participants
• Doctoral Education in Technology-Enhanced Learning: the Perspective of PhD Candidates and Researchers
• Analyzing Students' Perspective for Using Computer-Mediated Communication Tools for Group Collaboration in Higher Education
• Exploring Factors Affecting User Perception of Trustworthiness in Advanced Technology: Preliminary Results
• Am I like me? Avatar Self-Similarity and Satisfaction in a Professional Training Environment
• Mapping the Factors Affecting Online Education during the Pandemic in Greece: Understanding the Importance of Designing Experiences through Different Cultural and Philosophical Approaches
• Usability Study of a Pilot Database Interface for Consulting Open Educational Resources in the Context of the ENCORE Project
• Technology-supported Teaching
• Digital Skills during Emergency Remote Teaching, for VUCA Environments
• Definition of a Learning Analytics Ecosystem for the ILEDA Project Piloting
• Scenarios, Methods, and Didactics in Teaching Using Video-Conferencing Systems and Interactive Tools: Empirical Investigation on Problems and Good Practices
• Will ChatGPT get you caught? Rethinking of Plagiarism Detection
• Choosing a Modern Teaching Approach and Supporting Technology
• Lesson-Planning Groupware for Teachers: Situated Participatory Design
• Main Gaps in the Training and Assessment of Teamwork Competency in the University Context
• Prototyping the Learning Analytics Dashboards of an Adaptive Learning Platform: Faculty Perceptions versus Designers' Intentions
• Operationalising Transparency as an Integral Value of Learning Analytics Systems - From Ethical and Data Protection to Technical Design Requirements
• Towards Personalized Instruction: Co-designing a Teacher-Centered Dashboard for Learning Engagement Analysis in Blended Learning Environments
• Supporting Creativity in Learning
• Preliminary Study on Students' Experiences in Design-Based Interdisciplinary Learning
• Supporting Collaboration in Challenge-Based Learning by Integrating Digital Technologies: Insights from a Design-Based Research Study
• valuating the Development of Soft Skills through the Integration of Digital Making Activities in Undergraduate Computing Courses
• AgroEdu through Co-Crafting: Incorporating Minecraft into Co-Design Activities for Agricultural Education
• Design and Assessment of a Tool for Improving Creativity and Imagination in School Children
• Digital Fabrication in Arts and Crafts Education: A critical review

This two-volume set of LCT 2023, constitutes the refereed proceedings of the 10th International Conference on Learning and Collaboration Technologies, LCT 2023, held as Part of the 24th International Conference, HCI International 2023, which took place in July 2023 in Copenhagen, Denmark.The total of 1578 papers and 396 posters included in the HCII 2023 proceedings volumes was carefully reviewed and selected from 7472 submissions. The papers of LCT 2022 Part I are organized in topical sections named: Designing Learning Experiences; Understanding the Learning Experience; Technology-supported Teaching; Supporting Creativity in Learning

• Designing Learning Experiences
• Security and Privacy in Academic Data Management at Schools: SPADATAS Project
• The Rallye Platform: Mobile Location-based Serious Games for Digital Cultural Heritage
• An e-Learning Application for Children Suffering from Autism
• Two-phases AI Model for a Smart Learning System
• Learning System for Relational Algebra
• Design and Simulation of an IoT Intelligent University Campus for Academic Aim
• Behavioral Coding for Predicting Perceptions of Interactions in Dyads
• Towards Accessible, Sustainable and Healthy Mobility: the City of Barcelona as Case Study
• Augmenting Online Classes with an Attention Tracking Tool May Improve Student Engagement
• A Review on Modular Framework and Artificial Intelligence-based Smart Education
• Technology and Education as Drivers of the Fourth Industrial Revolution Through the Lenses of The New Science of Learning
• How do we Move Back?' - A Case Study of Joint Problem-Solving at an Interactive Tabletop Mediated Activity
• Designing a Pedagogical Strategy for the Implementation of Educational Technology in Collaborative Learning Environments
• Discovering Best Practices for Educational Video Conferencing Systems
• Experimental Design and Validation of i-Comments for Online Learning Support
• Tailoring Persuasive, Personlised Mobile Learning Apps for University Students
• Understanding the Learning Experience
• Investigating the Critical Nature of HE Emergency Remote Learning Networks During the COVID-19 Pandemic
• Decoding Student Error in Programming: An Iterative Approach to Understanding Mental Models
• What do Students Think about Learning Supported by e-Schools Digital Educational Resources? .-A Human or a Computer Agent: The Social and Cognitive Effects of an e-Learning Instructor's Identity and Voice Cues
• The Study on Usability and User Experience of Reading Assessment Systems: A Preliminary Research
• Learning with Videos and Quiz Attempts: Explorative Insights into Behavior and Patterns of MOOC Participants
• Doctoral Education in Technology-Enhanced Learning: the Perspective of PhD Candidates and Researchers
• Analyzing Students' Perspective for Using Computer-Mediated Communication Tools for Group Collaboration in Higher Education
• Exploring Factors Affecting User Perception of Trustworthiness in Advanced Technology: Preliminary Results
• Am I like me? Avatar Self-Similarity and Satisfaction in a Professional Training Environment
• Mapping the Factors Affecting Online Education during the Pandemic in Greece: Understanding the Importance of Designing Experiences through Different Cultural and Philosophical Approaches
• Usability Study of a Pilot Database Interface for Consulting Open Educational Resources in the Context of the ENCORE Project
• Technology-supported Teaching
• Digital Skills during Emergency Remote Teaching, for VUCA Environments
• Definition of a Learning Analytics Ecosystem for the ILEDA Project Piloting
• Scenarios, Methods, and Didactics in Teaching Using Video-Conferencing Systems and Interactive Tools: Empirical Investigation on Problems and Good Practices
• Will ChatGPT get you caught? Rethinking of Plagiarism Detection
• Choosing a Modern Teaching Approach and Supporting Technology
• Lesson-Planning Groupware for Teachers: Situated Participatory Design
• Main Gaps in the Training and Assessment of Teamwork Competency in the University Context
• Prototyping the Learning Analytics Dashboards of an Adaptive Learning Platform: Faculty Perceptions versus Designers' Intentions
• Operationalising Transparency as an Integral Value of Learning Analytics Systems - From Ethical and Data Protection to Technical Design Requirements
• Towards Personalized Instruction: Co-designing a Teacher-Centered Dashboard for Learning Engagement Analysis in Blended Learning Environments
• Supporting Creativity in Learning
• Preliminary Study on Students' Experiences in Design-Based Interdisciplinary Learning
• Supporting Collaboration in Challenge-Based Learning by Integrating Digital Technologies: Insights from a Design-Based Research Study
• valuating the Development of Soft Skills through the Integration of Digital Making Activities in Undergraduate Computing Courses
• AgroEdu through Co-Crafting: Incorporating Minecraft into Co-Design Activities for Agricultural Education
• Design and Assessment of a Tool for Improving Creativity and Imagination in School Children
• Digital Fabrication in Arts and Crafts Education: A critical review

This two-volume set of LCT 2023, constitutes the refereed proceedings of the 10th International Conference on Learning and Collaboration Technologies, LCT 2023, held as Part of the 24th International Conference, HCI International 2023, which took place in July 2023 in Copenhagen, Denmark.The total of 1578 papers and 396 posters included in the HCII 2023 proceedings volumes was carefully reviewed and selected from 7472 submissions. The papers of LCT 2022 Part I are organized in topical sections named: Designing Learning Experiences; Understanding the Learning Experience; Technology-supported Teaching; Supporting Creativity in Learning

• Traditional Chinese Medicine Health Status Identification with Graph Attention Network.- "Flexible Task Splitting Strategy in Aircraft Maintenance Technician Scheduling Based on Swarm Intelligence".- Privacy Preserving CSI Fingerprint Device-Free Localization.- A Novel Blockchain-MEC-based Near-domain Medical Resource Sharing Model.- Pairwise Decomposition of Directed Graphic Models for Performing Amortized Approximate Inference.- VDDL: A Deep Learning-based Vulnerability Detection Model for Smart Contracts.- "Robust Remote Sensing Scene Classification with Multi-View Voting and Entropy Ranking".- Visualized analysis of the emerging trends of automated audio description technology.- Anomaly Detection for Multi-Time Series with Normalizing Flow.- Encrypted Transmission Method of Network Speech Recognition Information Based on Big Data Analysis.- "A Lightweight NFT Auction Protocol for Cross-chain Environment".- "A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images".- Swarm Intelligence for Multi-objective Portfolio Optimization.- Research on Secure Cloud Storage of Regional Economic Data Network Based on Blockchain Technology.- "Data Leakage with Label Reconstruction in Distributed Learning Environments".- Analysis Method of Abnormal Traffic of Teaching Network in Higher Vocational Massive Open Online Course Based on Deep Convolutional Neural Network.- "Spatio-Temporal Context Modeling for Road Obstacle Detection".- A Survey of Android Malware Detection Based on Deep Learning.- "Information Encryption Transmission Method of Automobile Communication Network Based on Neural Network".- Explanation-Guided Minimum Adversarial Attack.- CIFD: A Distance for Complex Intuitionistic Fuzzy Set.- Security Evaluation Method of Distance Education Network Nodes Based on Machine Learning.- "MUEBA:A Multi-Model System for Insider Threat Detection".- "Bayesian Based Security Detection Method for Vehicle CAN Bus Network".- "Discrete Wavelet Transform-based CNN for Breast Cancer Classification from Histopathology Images".- "Machine Learning Based Security Situation Awareness Method for Network Data Transmission Process".- Multi-objective Hydrologic Cycle Optimization for Integrated Container Terminal Scheduling Problem.- A Method for Residual Network Image Classification with Multi-scale Feature Fusion.- "High Voltage Power Communication Network Security Early Warning and Monitoring System Based on Hmac Algorithm".- "Large Scale Network Intrusion Detection Model Based on FS Feature Selection".- "Research on Intelligent Detection Method of Automotive Network Data Security Based on FlexRay/CAN Gateway".- Adversarial Attack and Defense on Natural Language Processing in Deep Learning: A Survey and Perspective.- A Novel Security Scheme for Mobile Healthcare in Digital Twin.- Construction of Security Risk Prediction Model for Wireless Transmission of Multi Axis NC Machining Data.- Spiking Neural Networks Subject to Adversarial Attacks in Spiking Domain.- Diverse Web APIs Recommendation with Privacy-preservation for Mashup Development.- Network Security Evaluation Method of College Freshmen Career Counseling Service Based on Machine Learning.- FedTD:Efficiently share telemedicine data with federated distillation learning.- Increase channel attention based on Unet++ architecture for medical images.- Distributed Power Load Missing Value Forecasting with Privacy Protection.- Differentially Private Generative Model with Ratio-based Gradient Clipping.- Differential privacy protection algorithm for data clustering center.- Improved Kmeans algorithm based on privacy protection.- Symmetry Structured Analysis Sparse Coding for Key Frame Extraction.- Data Reconstruction from Gradient Updates in Federated Learning.- Natural Backdoor Attacks on Speech Recognition Models.- Boarding Pass Positioning with Jointly Multi-channel Segmentation and Perspective Transformation Correction.- AP-GCL:Adversarial perturbation on graph contrastive learning
• An Overview of Opponent Modeling for Multi-agent Competition.- Adversarial Attack and Defense on Natural Language Processing in Deep Learning: A Survey and Perspective.
• (source: Nielsen Book Data)

The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2-4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.
(source: Nielsen Book Data)

• AMAD: Improving Adversarial Robustness Without Reducing Accuracy.- Multi-Party Secure Sharing and Comparison of Strings Based on Outsourced Computation.- Highway: A Super Pipelined Parallel BFT Consensus Algorithm for Permissioned Blockchain.- Overview of DDoS Attack Research under SDN.- A medical image segmentation method based on Residual network and channel attention mechanism.- Performance improvement of classification model based on Chinese adversarial samples generation.- Research on Detection Method of Large-Scale Network Internal Attack Based on Machine Learning.- Federated Community Detection in Social Networks.- A Textual Adversarial Attack Scheme for Domain-Specific Models.- An improved Conv-LSTM method for gear fault detection.- Extracting Random Secret Key Scheme for One-time Pad under Intelligent Connected Vehicle.- Semi-supervised Learning with Nearest-Neighbor Label and Consistency Regularization.- Bipolar Picture Fuzzy Graph Based Multiple Attribute Decision Making Approach-Part I.- Priv-IDS: A Privacy Protection and Intrusion Detection Framework for In-Vehicle Network.- Dynamic Momentum for Deep Learning with Differential Privacy.- An Unsupervised Surface Anomaly Detection Method Based on Attention and ASPP.- PCB Defect Detection Method Based on Improved RetinaNet.- A Method of Protecting Sensitive Information in Intangible Cultural Heritage Communication Network Based on Machine Learning.- Decision Making Analysis of Traffic Accidents on Mountain Roads in Yunnan Province.- Deep Adaptively Feature Extracting Network for Cervical Squamous Lesion Cell Detection.- DSGRAE: Deep Sparse Graph Regularized Autoencoder for Anomaly Detection.- A Lattice-Based Aggregate Signature Based on Revocable Identity.- Research and design of an emergency supply assurance monitoring system in the post-epidemic context.- Face Presentation Attack Detection Based on Texture Gradient Enhancement and Multi-scale Fusion.- Optimal Revenue Analysis of the Stubborn Mining based on Markov Decision Process.- Bipolar Picture Fuzzy Graph Based Multiple Attribute Decision Making Approach-Part II.- Machine Learning Based Method for Quantifying the Security Situation of Wireless Data Networks.- Overlapping community discovery algorithm based on three-level neighbor node influence.- Content-Aware Deep Feature Matching.- F2DLNet: A Face Forgery Detection and Localization Network Based on SSIM Error Maps.- An Eye-Gaze Tracking Method Based on a 3D Ocular Surface Fitting Model.- A Certificateless-Based Blind Signature Scheme with Message Recovery.- Fault Detection of Rolling Bearings by Using A Combination Network Model.- zkChain: An Efficient Blockchain Privacy Protection Scheme Based on zk-SNARKs.- Research on influential factors of online learning behavior based on big data.- Short speech key generation technology based on deep learning.- Domain Adversarial Interaction Network for Cross-domain Fault Diagnosis.- A Vehicle Data Publishing System with Privacy-awares in VANETs Based on Blockchain.- Highsimb: A Concrete Blockchain High Simulation With Contract Vulnerability Detection For Ethereum and Hyperledger Fabric.- Research on key technologies for the trusted perception of network information for big data.- Micro-expression Recognition Method Combining Dual-Stream Convolution and Capsule Network.- Security Scheduling Method of Cloud Network Big Data Cluster Based on Association Rule Algorithm.- Towards Differentially Private Contrastive Learning.- Two-stage High Precision Membership Inference Attack.- Secure Storage Method for Network Resources of professional Works Based on Decision Tree Algorithm.- Vehicle CAN Network Intrusion Detection Model Based on Extreme Learning Machine and Feature Analysis.- A Broad Learning System Based on the Idea of Vertical Federated Learning.- PAMP: A New Atomic Multi-Path Payments Method with Higher Routing Efficiency.- Privacy-Preserving Searchable Encryption Scheme Based on Deep Structured Semantic Model over Cloud Application.- A Event Extraction Method of Document-level based on the Self-attention Mechanism.
• (source: Nielsen Book Data)

The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2-4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.
(source: Nielsen Book Data)

• Design of Active Defense System for Railway Communication Network Based on Deep Neural Network.- Human Resource Network Information Recommendation Method Based on Machine Learning.- Machine Learning Based Abnormal Flow Analysis of University Course Teaching Network.- A Learned Multi-objective Bacterial Foraging Optimization Algorithm With Continuous Deep Q-learning.- Webpage Text Detection Based on Improved Faster-RCNN Model.- Turbo: A High-Performance and Secure Off-chain Payment Hub.- A Complete Information Detection Method for Vehicle CAN Network Gateway Based on Neural Network.- Optimization of Data Transmission Efficiency of Wireless Communication Network for Chemical Energy Monitoring.- Deep Spatio-Temporal Decision Fusion Network for Facial Expression Recognition.- A Tabu-based Multi-Objective Particle Swarm Optimization for Irregular Flight Recovery Problem.- A Robot Foreign Object Inspection Algorithm for Transmission Line Based on Improved YOLOv5.- Path Planning Algorithm based on A_star Algorithm and Q-learning Algorithm.- Belief x2 Divergence-based Dynamical Complexity Analysis for Biological Systems.- Local Feature Acquisition Method of Multi-Layer Vision Network Image Based on Virtual Reality.- Channel Selection for EEG Emotion Recognition via An Enhanced Firefly Algorithm with Brightness-distance Attraction.- Security Risk Assessment Method of High Voltage Power Communication Network Based on Fuzzy Clustering.- Trimodal fusion network combined global-local feature extraction strategy and spatial-frequency fusion strategy.- Data Security Risk Prediction of Labor Relationship Rights Protection Network Platform Based on Machine Learning.- Research on LSTM based Traffic Flow prediction adaptive beacon Transmission period and Power joint control.- Construction of Color Network Model of Folk Painting Based on Machine Learning.-Research on Intrusion Prevention Optimization Algorithm Of Power UAV Network Communication Based on Artificial Intelligence.- Design of Network Big Data Anti Attack System for Carbon Emission Measurement Based on Deep Learning.- An Efficient Particle YOLO Detector for Urine Sediment Detection.- Evolutionary Factor-Driven Concise Bacterial Foraging Optimization Algorithm for Solving Customer Clustering Problems.- Brain Storm Optimization Algorithm with Multiple Generation Strategies for Patient Data Clustering.- TGPFM: An Optimized Framework for Ordering and Transporting Raw Materials for Production.- Visual Analysis of Facial Expression Recognition Research Based on Knowledge Graph.- Brainstorming-based Large Scale Neighborhood Search for Vehicle Routing with Real Travel Time.- A SAR Image Preprocessing Algorithm Based on Improved Homomorphic Wavelet Transform and Retinex.- Medical data clustering based on multi-objective clustering algorithm.- Self-supervised Visual-Semantic Embedding Network Based on Local Label Optimization.- A New Deep Network Model for Stock Price Prediction.- A Method for Residual Network Image Classification with Multi-scale Feature Fusion.- Face morphing detection based on a two-stream network with channel attention and residual of multiple color spaces.- DU-Net: A Novel Architecture for Retinal Vessels Segmentation.- Sub-pixel level edge extraction technology for industrial parts for smart manufacturing.- USDSE: A Novel Method to Improve Service Reputation based on Double-Side Evaluation.- Morphology-based Soft Label Smoothing Strategy For Fine-grained Domain Adaptationming.- MOOC Performance Prediction and Online Design Instructional Suggestions Based on LightGBM.- MOOC Dropout Prediction Based on Bayesian Network.- Knowledge Enhanced BERT based on Corpus Associate Generation.- Multi-objective Particle Swarm Optimization based on Archive Control Strategy.- A Hybrid Multi-Objective Genetic-Particle Swarm Optimization Algorithm for Airline Crew Rostering Problem with Fairness and Satisfaction.- Plant Leaf Area Measurement Using 3D Imaging: A Comparative Study between Dynamic Structured Light Stereo and Time-of-Flight.- Subgraph matching based on Path adaptation for large-scale graph.- Photovoltaic Panel Intelligent Management and Identification Detection System based on YOLOv5.
• (source: Nielsen Book Data)

The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2-4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.
(source: Nielsen Book Data)

• Comparison of AI-based algorithms for low energy communication
• Development of an Intent-Based Network incorporating Machine Learning for service Assurance of E-commerce Online Stores
• Cyber-attack proactive defense using multivariate time series and machine learning with Fuzzy Inference-based Decision System
• iPerfOPS: a Tool for Machine Learning-Based Optimization through Protocol Selection
• GRAPHSEC
• Advancing the Application of AI/ML to Network Security through Graph Neural Networks
• Low Complexity Adaptive ML Approaches for End-to-End Latency Prediction
• TDMA-based MAC protocols designed or optimized using Artificial Intelligence for safety data dissemination in Vehicular ad-hoc network: A Survey
• A Machine Learning Based Approach to Detect Stealthy Cobalt Strike C\&C Activities from Encrypted Network Traffic
• Unified Emulation-Simulation Training Environment for Autonomous Cyber Agents
• Deep Learning Based Camera Switching for Sports Broadcasting
• Phisherman: Phishing Link Scanner
• Leader-Assisted Client Selection for Federated Learning in Iot via the Cooperation of Nearby Devices.

This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning for Networking, MLN 2022, held in Paris, France, November 28–30, 2022. The 12 full papers presented in this book were carefully reviewed and selected from 27 submissions. The papers present novel ideas, results, experiences and work-in-process on all aspects of Machine Learning and Networking

• Invited papers
• General equilibrium models in production networks with substitution of inputs
• Mathematical programming and applications
• On decentralized nonsmooth optimization
• Byzantine-robust loopless stochastic variance-reduced gradient
• Semi-supervised k-means clustering via DC programming approach
• On the uniqueness of identification the thermal conductivity and heat capacit of substance
• On the uniqueness of identification the thermal conductivity and heat capacity of substance
• Discrete and combinatorial optimization
• Constant-factor approximation algorithms for some maximin multiclustering problems
• Aggregation tree construction using hierarchical structures
• Enumeration and unimodular equivalence of empty delta-modular simplices
• PTAS for p-means q-medoids r-given clustering problem
• Nested (2,3)-instances of the Cutting Stock Problem
• Stochastic optimization
• On the resource allocation problem to increase reliability of transport systems
• Distributionally robust optimization by probability criterion for estimating a bounded signal
• Scheduling
• Approximation algorithms for two-machine proportionate routing open shop on a tree
• MIP heuristics for a resource constrained project scheduling problem with workload stability constraints
• Hybrid evolutionary algorithm with optimized operators for total weighted tardiness problem
• Game theory
• Equilibrium arrivals to preemptive queueing system with fixed reward for completing request
• On optimal positional strategies in fractional optimal control problems
• On a single-type differential game of retention in a ring
• Harmonic numbers in Gambler's Ruin Problem
• Exploitation and recovery periods in dynamic resource management problem
• Trade-off mechanism to sustain cooperation in pollution reduction
• Communication restriction-based characteristic function in differential games on networks
• Optimal control and mathematical economics
• Guaranteed expectation of the flock position with random distribution of items
• Method for solving a differential inclusion with a subdifferentiable support function of the right-hand side
• Approximate solution of small-time control synthesis problem based on linearization
• A Priori Estimates of the Objective Function in the Speed-in-Action Problem for a Linear Two-Dimensional Discrete-Time System
• An approach to solving input reconstruction problems in stochastic differential equations: dynamic algorithms and tuning their parameters
• Mathematical modeling of the household behavior on the labor market
• Visual positioning of a moving object using multi-objective control algorithm

This book constitutes the refereed proceedings of the 22nd International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2023, held in Ekaterinburg, Russia, during July 2-8, 2023. The 28 full papers and 1 short paper included in this book were carefully reviewed and selected from 89 submissions. They were organized in topical sections as follows: Mathematical programming and applications; discrete and combinatorial optimization; stochastic optimization; scheduling; game theory; and optimal control and mathematical economics. The book also contains one invited talk in full paper length

• Applying Disentanglement in the Medical Domain: An Introduction.- HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information.- Implicit Embeddings via GAN Inversion for High Resolution Chest Radiographs.- Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations.- Instance-Specific Augmentation of Brain MRIs with Variational Autoencoder.- Low-rank and Sparse Metamorphic Autoencoders for Unsupervised Pathology Disentanglement.- Training -VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder.- Disentangling Factors of Morpholigical Variation in an Invertible Brain Aging Model.- A study of representational properties of unsupervised anomaly detection in brain MRI.
• (source: Nielsen Book Data)

This book constitutes the post-conference proceedings of the First MICCAI Workshop on Medical Applications with Disentanglements, MAD 2022, held in conjunction with MICCAI 2022, in Singapore, on September22, 2022. The 8 full papers presented in this book together with one short paper were carefully reviewed and cover generative adversarial networks (GAN), variational autoencoders (VAE) and normalizing-flow architectures as well as a wide range of medical applications, like brain age prediction, skull reconstruction and unsupervised pathology disentanglement.
(source: Nielsen Book Data)