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• Robust Functional Regression for Outlier Detection
• Transform Learning Based Function Approximation for Regression and Forecasting
• Proactive Fiber Break Detection based on Quaternion Time Series and Automatic Variable Selection from Relational Data
• A fully automated periodicity detection in time series
• Conditional Forecasting of Water Level Time Series with RNNs
• Challenges and Limitations in Clustering Blood Donor Hemoglobin Trajectories
• Localized Random Shapelets
• Feature-Based Gait Pattern Classification for a Robotic Walking Frame
• How to detect novelty in textual data streams? A comparative study of existing methods
• Seq2VAR: multivariate time series representation with relational neural networks and linear autoregressive model
• Modelling Patient Sequences for Rare Disease Detection with Semi-supervised Generative Adversarial Nets
• Extended Kalman Filter for Large Scale Vessels Trajectory Tracking in Distributed Stream Processing Systems
• Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets using Deep Learning
• Learning Stochastic Dynamical Systems via Bridge Sampling
• Quantifying Quality of Actions Using Wearable Sensor
• An Initial Study on Adapting DTW at Individual Query for Electrocardiogram Analysis.

This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Würzburg, Germany, in September 2019. The 7 full papers presented together with 9 poster papers were carefully reviewed and selected from 31 submissions. The papers cover topics such as temporal data clustering; classification of univariate and multivariate time series; early classification of temporal data; deep learning and learning representations for temporal data; modeling temporal dependencies; advanced forecasting and prediction models; space-temporal statistical analysis; functional data analysis methods; temporal data streams; interpretable time-series analysis methods; dimensionality reduction, sparsity, algorithmic complexity and big data challenge; and bio-informatics, medical, energy consumption, on temporal data.

• Part I. Artificial Intelligence and Machine Learning
• Part II. Artificial Intelligence User Research
• Part III. Artificial Intelligence Applications
• Part IV. Applications in Software and Systems Engineering
• Part V. Applications in Supply Chain Management and Business
• Part VI. Cognitive Computing and Internet of Things
• Part VII. Human Factors in Energy: Oil, Gas, Nuclear and Electric Power Industries.

This book addresses emerging issues concerning the integration of artificial intelligence systems in our daily lives. It focuses on the cognitive, visual, social and analytical aspects of computing and intelligent technologies, and highlights ways to improve the acceptance, effectiveness, and efficiency of said technologies. Topics such as responsibility, integration and training are discussed throughout. The book also reports on the latest advances in systems engineering, with a focus on societal challenges and next-generation systems and applications for meeting them. Based on the AHFE 2020 Virtual Conference on Software and Systems Engineering, and the AHFE 2020 Virtual Conference on Artificial Intelligence and Social Computing, held on July 16-20, 2020, it provides readers with extensive information on current research and future challenges in these fields, together with practical insights into the development of innovative services for various purposes.
(source: Nielsen Book Data)

This book discusses the latest advances in the development of artificial intelligence systems and their applications in various fields, from medicine and technology to education. It comprises papers presented at the Third International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE2019), held at the Mechanical Engineering Institute of the Russian Academy of Sciences, Moscow, Russia, on 1-3 October 2019. Covering topics such as mathematics and biomathematics; medical approaches; and technological and educational approaches, it is intended for the growing number of specialists and students in this field, as well as other readers interested in discovering where artificial intelligence systems can be applied in the future.

• Natural Language Processing.- Image Processing and Pattern Recognition.- Intelligent Applications and Robotics.
• (source: Nielsen Book Data)

The two-volume set LNAI 12468 and 12469 constitutes the proceedings of the 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, held in Mexico City, Mexico, in October 2020. The total of 77 papers presented in these two volumes was carefully reviewed and selected from 186 submissions. The contributions are organized in topical as follows: Part I: machine and deep learning, evolutionary and metaheuristic algorithms, and soft computing. Part II: natural language processing, image processing and pattern recognition, and intelligent applications and robotics.
(source: Nielsen Book Data)

• Extraction of Tumor Chunk Using Image Segmentation - Thresholding and HSV Color Space.- Predictive & Interactive IOT Diagnosis System with AI and ML Tools: Review.- Multi Agent Data Mining using Asymmetric AES Algorithm in Cloud Computing.- A Novel Architecture for a Two-Pass Opinion Mining Classifier.- QoS based Routing Algorithm for Software Defined Network using Ant Colony optimization.- An Integrated AdaBoost Algorithm for Down Syndrome Disease Recognition.- A Comprehensive Healthcare Model for a Smart Left Ventricle Assisting Device.- Moving Hand Segmentation from H.264 Compressed Sign Language Videos.- CNN-Based Real-time Indian Sign Language Recognition System.- Sarcasm Detection using Multiple Occurrences of Emojis and Hashtagged Words.- Multiclass Multiple Object Tracking.- Dimensionality Reduction in Hyperspectral Images using Auto-encoders.- Improved Registration of Infrared Images using EOH Descriptor.- Fine Grained Analysis of Bridging Social Capital with Triadic Analysis in a Co-Author Network.- Accumulation of Methodologies for Intensifying the Lifetime of the Wireless Sensor Networks.- A Multifactor Biometric Based User Authentication Protocol for IOT Networks.- Leveraging Topic Models with Novel Word Embeddings for Effective Document Clustering.- Survey on Access Control Mechanisms in Cloud Environments.- Sales Analysis and Performance of Super Store using Qlik Geo Analytics.- Assessment of Crop Rotation Using Multi Polarized Sentinel-1 Temporal SAR Data Over Parts of Kumaun Region of Uttarakhand.- Spatiotemporal and Delay Dynamics on a Prey Predator Fishery Model.- An Efficient Intrusion Detection System with Convolutional Neural Network.- Supervised Machine Learning Approach for Identification of Malicious URLs.- A Unified Framework for Stress Forecasting Using Machine Learning Algorithms.- Investigation and Analysis of Crop Maintenance Using IoT & KNN Techniques.- Enhancement of Anisotropic Diffusion Filtered Cardiac MR Images using Contrast based Fuzzy Approach.- Social Media Ecosystem: Review on Social Media Profile's Security and Introduce a New Approach.- An Investigation on Managing Patient Flow at Hospital Emergency Care Unit using Tree-Based Data Mining Techniques.- A Path Based Model for Link Prediction in Location Based Social Networks.- Predicting the Cost of Pre-owned Cars using Linear Regression Mechanisms in Machine Learning.- Bio-Inspired High Utility Item Framework based Particle Swarm Optimization Tree Algorithms for Mining High Utility Itemset.- On Atom-Bond Connectivity Invariant of Graphs.- Theoretical Design and Experimental Study for Urban Data Management using Energy-Saved IoT Big Data.- An Effective Approach for Security Attacks Based on Machine Learning Algorithms.- Class Based Associative Classification using Super Subset to Predict the By-Diseases in Thyroid Disorders.- Recommendation of Diet using Hybrid Collaborative Filtering Learning Methods.- Classification of Natural Images Using Machine Learning Classifiers on Graph Based Approaches.- Convolutional Neural Network Based Diagnosis of Alzheimer's Disease using Time Frequency features.- Humanly Evolving Robotics with Angular Sensor Control (HERASC).- Post-occupancy Evaluation of Building Facilities in a University Community using an Electronic Platform.- Internet of Things: Demystifying Smart Cities & Communities.- Comparative Analysis of Optimizations of Antecedents and Consequents of Fuzzy Inference System Rules Lists using Genetic Algorithm Operations.- Uses and Impact of Social Media on Work Performance of Low Literate People.- A Comparative Analysis on Rumor Microblogs Detection from Social Network Sites.- Smart Sprint Methodology for Financial Management System Development.- A Novel Infrared Image Segmentation Method for Identifying the Faults in the Systems.
• (source: Nielsen Book Data)

This book is a collection of outstanding papers presented at the 1st International Conference on Advances in Computational Intelligence and Informatics (ICACII 2019), organized by the Department of Computer Science & Engineering, Anurag Group of Institutions (AGI), Hyderabad, on 20-21 December 2019. It includes innovative ideas and new research findings in the field of Computational Intelligence and Informatics that will benefit researchers, scientists, technocrats, academics and engineers alike. The areas covered include high-performance systems, data science and analytics, computational intelligence and expert systems, cloud computing, computer networks and emerging technologies.
(source: Nielsen Book Data)

• [I]. Advanced computing: A computer vision based approach for the analysis of acuteness of garbage
• The moderating effect of demographic factors acceptance virtual reality learning in developing countries in the Middle East
• Table tennis forehand and backhand stroke recognition based on neural network
• An effective vision based framework for the identification of tuberculosis in chest X-ray images
• User assisted clustering based key frame extraction
• A threat towards the neonatal mortality
• Digital marketing effectiveness using incrementality
• Explainable artificial intelligence for falls prediction
• Enhanced UML use case meta-model semantics from cognitive and utility perspectives
• The impact of mobile augmented reality design implementation on user engagement
• Intelligent mobile edge computing : a deep learning based approach
• Analysis of clustering algorithms in machine learning for healthcare data
• Securing mobile agents migration using tree parity machine with new tiny encryption algorithm
• An approach to waste segregation and management using convolutional neural networks
• Open source intelligence initiating efficient investigation and reliable web searching
• A neural network based hybrid model for depression detection in Twitter
• Unleashing the VEP tirplet count of virtually created 3D Bangla alphabet to integrate with augmented reality application
• A hybrid machine learning framework for prediction of software effect at the initial phase of software development
• Chronic disease prediction using deep learning
• A deep learning based method to discriminate between photorealistic computer generated images and photographic images
• Load balancing algorithm in cloud computing using mutatino based PSO algorithm
• Statistical model for qualitative grading of milled rice
• Measuring the effectiveness of software code review comments

• Proposed model for feature extraction for vehicle detection
• Analysis of feature selection methods for P2P botnet detection
• ELM-MVD : an extreme learning machine trained model for malware variants detection
• Real-time biometric system for security and surveillance using face recognition
• An effective block-chain based authentication technique for cloud based IoT
• Early detection of autism spectrum disorder in children using supervised machine learning
• Auto segmentation of lung in non-small cell lung cancer using deep convolution neural network
• Multiwavelet based unmanned aerial vehicle thermal image fusion for surveillance and target location
• Investigating movement detection in unedited camera footage
• Time series forecasting using machine learning
• Improving packet queues using selective epidemic routing protocol in opportunistic networks (SERPO)
• Heart disease prediction system using classification algorithms.

• [II]. Data sciences: Graph database and relational database performance comparison on a transportation network
• Optimizing creative allocations in digital marketing
• Big data analytics for customer relationship management : a systematic review and research agenda
• Agricultural field analysis using satellite surface reflectance data and machine learning technique
• Sponsored data connectivity at the network edge
• Dynamic bidding with contextual bid decision trees in digital advertisement
• MOOC performance prediction by deep learning from raw clickstream data
• UDHR : unified decentralized health repository
• Mining massive time series data : with dimensionality reduction techniques
• Comparative analysis of data mining techniques to predict heart disease for diabetic patients.

This book constitutes the post-conference proceedings of the 4th International Conference on Advances in Computing and Data Sciences, ICACDS 2020, held in Valletta, Malta, in April 2020.* The 46 full papers were carefully reviewed and selected from 354 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations. * The conference was held virtually due to the COVID-19 pandemic.
(source: Nielsen Book Data)

• Internet of Things, Industry and Blockchain, and Cryptology
• Digital Forensics and Surveillance, Botnet and Malware, and DDoS and Intrusion Detection/Prevention
• Ambient Cloud and Edge Computing, Wireless and Cellular Communication.

This book presents refereed proceedings of the First International Conference on Advances in Cyber Security, ACeS 2019, held in Penang, Malaysia, in July-August 2019. The 25 full papers and 1 short paper were carefully reviewed and selected from 87 submissions. The papers are organized in topical sections on internet of things, industry and blockchain, and cryptology; digital forensics and surveillance, botnet and malware, and DDoS and intrusion detection/prevention; ambient cloud and edge computing, wireless and cellular communication.

• Keynote Extended Abstracts.- Blockchains and Databases: Opportunities and Challenges for the Permissioned and the Permissionless.- Processing Temporal and Time Series Data: Present State and Future Challenges.- Integrating (Very) Heterogeneous Data Sources: a Structured and an Unstructured Perspective.- Data Access and Database Performance.- Upper Bound on the Size of FP-tree.- An Efficient Index for Reachability Queries in Public Transport Networks.- Context-Free Path Querying by Kronecker Product.- Pattern Sampling in Distributed Databases.-Can We Probabilistically Generate Uniformly Distributed Relation Instances Efficiently?.- Machine Learning.- Towards Proximity Graph Auto-Configuration: an Approach Based on Meta-Learning.- Fake News Detection Based on Subjective Opinions.- Improving on Coalitional Prediction Explanation.- Data Processing.- JSON Functionally.- Semantic Web.- Template-Based Multi-Solution for Data-to-Text Generation (on RDF).- Distributed Tree-Pattern Matching in Big Data Analytics Systems.- Data Analytics.- Iterations and Propensity Score Matching in MonetDB.- The Tell-Tale Cube.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 24th European Conference on Advances in Databases and Information Systems, ADBIS 2020, held in Lyon, France, in August 2020.* The 13 full papers presented were carefully reviewed and selected from 82 submissions. The papers cover a wide range of topics from different areas of research in database and information systems technologies and their advanced applications from theoretical foundations to optimizing index structures. They are organized in the following topical sections: keynote extended abstracts; data access and database performance; machine learning; semantic web; data processing; and data analytics. * The conference was held virtually due to the COVID-19 pandemic.
(source: Nielsen Book Data)

• Symmetric-Key Cryptography 1.- Malicious Activity Detection 1.- Multiparty Computation.- Malicious Activity Detection 2.- Post Quantum Cryptography.- Symmetric-Key Cryptography 2.- Privacy.- Pairing-Based Cryptography.- Machine Learning.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 15th International Workshop on Security, IWSEC 2020, held in Fukui, Japan, in September 2020.* The 15 regular papers and 1 short paper presented in this volume were carefully reviewed and selected from 47 submissions. They were organized in topical sections named: symmetric-key cryptography, malicious activity detection, multiparty computation, post quantum cryptography, privacy, pairing-based cryptography, and machine learning. * The conference was held virtually due to the COVID-19 pandemic.
(source: Nielsen Book Data)

• Childrens Age and Gender Recognition from Raw Speech Waveform using DNN
• Inter-Vehicular Communication in Urban Traffic Scenario
• Distributed Estimation of IIR Systems Parameter in Sensor Network using Multihop Diffusion LMS Algorithm
• Implementation of Raspberry Pi for fault detection in optic fibre line
• Distributed Optical Fiber Sensing System Performance Improvement using Signal Processing Techniques.

This book features high-quality research papers presented at the 2nd International Conference on Intelligent Computing and Advances in Communication (ICAC 2019), held at Siksha 'O Anusandhan Deemed to be University, Bhubaneswar, Odisha, India, in November 2019. Covering a wide variety of topics, including management of clean and smart energy systems and environmental challenges, it is a valuable resource for researchers and practicing engineers working in various fields of renewable energy generation, and clean and smart energy management.

• Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder
• Dual Sequential Variational Autoencoders for Fraud Detection
• A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks
• Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams
• GraphMDL: Graph Pattern Selection Based on Minimum Description Length
• Towards Content Sensitivity Analysis
• Gibbs Sampling Subjectively Interesting Tiles
• Even Faster Exact k-Means Clustering
• Ising-Based Consensus Clustering on Special Purpose Hardware
• Transfer Learning by Learning Projections from Target to Source
• Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs
• Towards Evaluation of CNN Performance in Semantically Meaningful Latent Spaces
• Vouw: Geometric Pattern Mining Using the MDL Principle
• A Consensus Approach to Improve NMF Document Clustering
• Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams
• Widening for MDL-Based Retail Signature Discovery
• Addressing the Resolution Limit and the Field of View Limit in Community Mining
• Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics
• Adversarial Attacks Hidden in Plain Sight
• Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code
• Overlapping Hierarchical Clustering (OHC)
• Digital Footprints of International Migration on Twitter
• Percolation-Based Detection of Anomalous Subgraphs in Complex Networks
• A Late-Fusion Approach to Community Detection in Attributed Networks
• Reconciling Predictions in the Regression Setting: an Application to Bus Travel Time Prediction
• A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization
• Actionable Subgroup Discovery and Urban Farm Optimization
• AVATAR
• Machine Learning Pipeline Evaluation Using Surroga te Model
• Detection of Derivative Discontinuities in Observational Data
• Improving Prediction with Causal Probabilistic Variables
• DO-U-Net for Segmentation and Counting
• Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media
• Event Recognition Based on Classification of Generated Image Captions
• Human-to-AI Coach: Improving Human Inputs to AI Systems
• Aleatoric and Epistemic Uncertainty with Random Forests
• Master your Metrics with Calibration
• Supervised Phrase-Boundary Embeddings
• Predicting Remaining Useful Life with Similarity-Based Priors
• Orometric Methods in Bounded Metric Data
• Interpretable Neuron Structuring with Graph Spectral Regularization
• Comparing the Preservation of Network Properties by Graph Embeddings
• Making Learners (More) Monotone
• Combining Machine Learning and Simulation to a Hybrid Modelling Approach
• LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification
• Angle-Based Crowding Degree Estimation for Many-Objective Optimization.

This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020. The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDAs mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation.

• Six Sigma Methodology and Implementation in Indian Context: A Review Based Study.- Evaluation of work posture using ergonomics in Indian small scale industry.- Manufacturing Intelligence in the Context of Indian SME's.- Multi-objective optimization of process parameter during dry Turning of Grade5 Titanium alloy with carbide inserts: Hybrid Fuzzy-TOPSIS approach.- Analysis of Factors for Green Supply Chain in Indian Timber Market: An ISM Approach.- The Value Engineering Way: A Case of Industrial Fans.- Obstacles of Flexible Manufacturing System: An AHP Approach for Quantifying the Rank Given by the ISM Model.- To Find the Effectiveness of Barriers in Reverse Logistics by using ISM.- Optimization of MQL Machining Parameters Using Combined Taguchi and TOPSIS Method.- Life Cycle Assessment Framework for Sustainable Development in Manufacturing Environment.- Artificial Neural Network Models for the Prediction of Metal Removal Rate in Rotary Ultrasonic Machining.- Finding the Percentage Effectiveness of Agile Manufacturing Barriers: An AHP Approach.- Modeling the Knowledge Sharing Barriers in Indian Small and Medium Industries using ISM.- Simulation and Optimization of Flexible Flow Shop Scheduling Problem in an Indian Manufacturing Industry.- Computational Investigation on the Thermal Characteristics of Heat Pipe Using Nanofluids.- Analysis of Barriers to Lean-Green Manufacturing System (Lgms): A Multi-Criteria Decision Making Approach.- Machine Learning Application for Pulsating Flow Through.- Ranking of Factors for Integrated Lean, Green and Agile Manufacturing for Indian Manufacturing Sme's.
• (source: Nielsen Book Data)

This book consists of select proceedings of the International Conference on Functional Material, Manufacturing and Performances (ICFMMP) 2019, and presents latest research on using the combined intelligence of people, processes, and machines to impact the overall economics of manufacturing. The book focuses on optimizing manufacturing resources, improving business value and safety, and reducing waste - both on the floor and in back-office operations. It highlights the applications of the latest manufacturing execution system (MES), intelligent devices, machine-to-machine communication, and data analysis for the production lines and facilities. This book will be useful to manufacturers of finished goods and of sub-assemblies in the automotive, agriculture, and construction equipment sector. It will also provide solutions to make production strategies exceptional and can be a useful reference for beginners, researchers, and professionals interested in intelligent manufacturing technologies.
(source: Nielsen Book Data)

• Gerlach Shaping based Air Intake Duct Optimisation.- Multidisciplinary Analysis of a Re-entry Vehicle.- Optimization of multiple gravity assist trajectory with deep space maneuver using evolutionary algorithm.- Conceptual Design Optimization of High Altitude Airships having a Tri-lobed Envelope.- Multiobjective Aerodynamic Optimization of a Hypersonic Scramjet Inlet.- Study of Wing Flutter at Preliminary Stages of Design.- Coupled Aero-structural Simulation Techniques using High-fidelity Analysis and Design Tools.- Optimization Of B-Spline Launch Vehicle Payload Fairing.- Design of Vortex Flaps for Reducing Approach Speed of a Supersonic Naval Fighter Aircraft.-Performance comparison of discrete Kalman filter and dynamic programming methods for pavement roughness identification.- Multi-Disciplinary Optimization of Sensor Bracket.
• (source: Nielsen Book Data)

This volume contains select papers presented during the 2nd National Conference on Multidisciplinary Analysis and Optimization. It discusses new developments at the core of optimization methods and its application in multiple applications. The papers showcase fundamental problems and applications which include domains such as aerospace, automotive and industrial sectors. The variety of topics and diversity of insights presented in the general field of optimization and its use in design for different applications will be of interest to researchers in academia or industry.
(source: Nielsen Book Data)

• 1. A Comprehensive Introduction to Photometric 3D-Reconstruction.-
• 2. Perspective Shape from Shading an Exposition on Recent Works with New Experiments.-
• 3. RGBD-Fusion: Depth Refinement for Diffuse and Specular Objects.-
• 4. Non-Rigid Structure from Motion and Shading.-
• 5. On the Well-Posedness of Uncalibrated Photometric Stereo Under General Lighting.-
• 6. Recent Progress in Shape from Polarization.-
• 7. Estimating Facial Aging using Light Scattering Photometry.
• (source: Nielsen Book Data)

This book presents the latest advances in photometric 3D reconstruction. It provides the reader with an overview of the state of the art in the field, and of the latest research into both the theoretical foundations of photometric 3D reconstruction and its practical application in several fields (including security, medicine, cultural heritage and archiving, and engineering). These techniques play a crucial role within such emerging technologies as 3D printing, since they permit the direct conversion of an image into a solid object. The book covers both theoretical analysis and real-world applications, highlighting the importance of deepening interdisciplinary skills, and as such will be of interest to both academic researchers and practitioners from the computer vision and mathematical 3D modeling communities, as well as engineers involved in 3D printing. No prior background is required beyond a general knowledge of classical computer vision models, numerical methods for optimization, and partial differential equations. .
(source: Nielsen Book Data)

• Regular Papers.- An Interruptible Task Allocation Model : Application to a Honey Bee Colony Simulation.- RT-BDI: A Real-Time BDI Model.- Routing Model Evaluator.- The DigForSim Agent Based Simulator of People Movements in Crime Scenes.- Personal Data Privacy Semantics in Multi-Agent Systems Interactions.- Towards Real-time Crowd Simulation Under Uncertainty Using an Agent-Based Model and an Unscented Kalman Filter.- The JaCa-Android Framework for Programming BDI-based Personal Agents on Mobile Devices.- Assisted Parameter and Behavior Calibration in Agent-based Models with Distributed Optimization.- Fast and Efficient Partner Selection in Large Agents' Communities: When Categories Overcome Direct Experience.- Multi-Agent Modelling and Simulation of Hospital Acquired Infection Propagation Dynamics by Contact Transmission in Hospital Wards.- Unsupervised Sleep Stages Classification Based On Physiological Signals.- Recommending Learning Videos for MOOCs and Flipped Classrooms.- Improving Sustainable Mobility with a Variable Incentive Model for Bike-Sharing Systems Based on Agent-based Social Simulation.- Decentralized Constraint Optimization in Composite Observation Task Allocation to Mobile Sensor Agents.- Comparing the Performance of Message Delivery Methods for Mobile Agents.- Application of Agent-based Modelling to Simulate Ribosome Translation.- Intent Recognition from Speech and Plan Recognition.- Planner-Guided Robot Swarms.- A MAS-based Approach for POI Group Recommendation in LBSN.- Agent Programmability Enhancement for Rambling over a Scientific Dataset.- Scalable Heterogeneous Multiagent Learning from Demonstration.- Multimodal Joke Generation and Paralinguistic Personalization for a Socially-Aware Robot.- A Framework for Verifying Autonomous Robotic Agents Against Environment Assumptions.- Impact of Trust and Reputation Based Brokerage on the CloudAnchor Platform.- Formal Verification of Autonomous UAV Behavior for Inspection Tasks Using the Knowledge Base System IDP.- Pattern-Based Goal-Oriented Development of Fault-Tolerant MAS in Event-B.- A Study on Automated Receptionists in a Real-world Scenario.- Navigation of Autonomous Swarm of Drones using Translational Coordinates.- Multi-agent Service Area Adaptation for Ride-Sharing Using Deep Reinforcement Learning.- Demo Papers.- MAXIM-GPRT: A Simulator of Local Schedulers, Negotiations, and Communication for Multi-Agent Systems in General-Purpose and Real-Time Scenarios.- Assisting Users on the Privacy Decision-Making Process in an OSN for Educational Purposes.- A Demonstration of the Routing Model Evaluator.- JADE/JaCaMo+2COMM: Programming Agent Interactions.- Agent-based Mixed Reality Environments in Healthcare: the Smart Shock Room Project.- Demo Paper: Monitoring and Evaluation of Ethical Behavior in Dialog Systems.- A Multi-Agent Simulator for Infection Spread in a Healthcare Environment.- SafeCity: A Platform for Safer and Smarter Cities.- AGADE Traffic 2.0 - A Knowledge-based Approach for Multi-agent Traffic Simulations.- PoVaBiA: a Multi-agent Decision-making Support Tool for Organic Waste Management.- Dedale : Demonstrating a Realistic Testbed for Decentralized Multi-agents Problems.- Agent-based Crowd Discussion Support System and its Societal Experiments.- Disaster Response Simulation.- Understandable Teams of Pepper Robots.- A Practical Demonstration of a Variable Incentive Model for Bike-sharing Systems Based on Agent-based Social Simulation.- Implementation of a Holonic Multi-agent System in Mixed or Augmented Reality for Large Scale Interactions.- A Multi-agent Evaluation of Traffic Light Models.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2020, held in L'Aquila, Italy, in October 2020. The 29 regular and 17 demo papers presented in this volume were carefully reviewed and selected from 64 submissions. They deal with the application and validation of agent-based models, methods, and technologies in a number of key applications areas, including: advanced models and learning, agent-based programming, decision-making, educa-tion and social interactions, formal and theoretic models, health and safety, mobility and the city, swarms and task allocation.
(source: Nielsen Book Data)

• Advanced Modelling, Simulation and Data Analytics in Production and Supply Networks.- A Robust Multi-Commodity Rebalancing Process in Humanitarian Logistics.- Towards a unified reliability-centered information logistics model for production assets.- Characterization of energy consumers in production systems with renewable on-site power generation.- A simulation model supporting the production optimization for high-precision machines assembly.- Agent-Based Modeling and Analysis of Dynamic Slab Yard Management in a Steel Factory.- A Simulation Analysis of Part Feeding to Assembly Stations with Vertical Robotic Storage and Retrieval.- Process Mining in Manufacturing: Goals, Techniques and Applications.- Bayesian Modelling for Product Testing and Release.- Advanced, Digital and Smart Manufacturing.- The Use of Organizational Innovation Concepts in Manufacturing Companies.- Systems Engineering Approach to Identify Requirements for Digital Twins Development.- Manufacturing Operations Management for Smart Manufacturing - A Case Study.- Industry 4.0 on demand: a value driven methodology to implement Industry 4.0.- Gamification of Operational Tasks in Manufacturing - A Literature Review.- Technology Adoption in the Industry 4.0 Era: Empirical Evidence from Manufacturing Companies.- Towards the definition of an Impact Level factor of SME features over Digital Transformation.- Industry 4
• .0: maturity of automotive companies in Brazil for the digitization of processes.- General readiness assessment of Industry 4
• .0: Evidence from Serbian manufacturing industry.- Digital and Virtual Quality Management Systems.- Assembly issue resolution system using machine learning in aero engine manufacturing.- Introduction to Material Feeding 4
• .0: strategic, tactical, and operational impact.- Cloud-Manufacturing.- Cycle Time Estimation Model for Hybrid Assembly Stations based on Digital Twin Concept.- Cyber-Physical Production Systems and Digital Twins.- Digital Shadows as an enabler for the internet of production.- The transformation towards smart(er) factories: integration requirements of the digital twin.- IIOT Interoperability.- Towards inter-operable enterprise systems - graph-based validation of a context-driven approach for message profiling.- Supply Chain Planning and Optimization.- Software-based Assistance System for Decision Support on Supply Chain Level.- Integration of triple sustainable management by considering multi-period supply chain for next-generation fuel.- Potential benefits of Reverse Blending in the fertilizer industry.- Effectiveness of Vendor Managed Inventory [VMI] in Explosive Inventory Management.- Value chain integration - a framework for assessment.- A dynamic hybrid Berth Allocation Problem with routing constraints in bulk ports.- Blockchain-based secured collaborative model for supply chain resource sharing and visibility.- Gripper types and components in robotic bin picking.- A stochastic model for a two-level disassembly lot-sizing problem under random lead time.- Digital and Smart Supply Chain Management.- ERP in Industry 4.0 Context.- Identifying the opportunities for enhancing the digital readiness level of the supply chain.- Intelligent Logistics Networks Management.- The Role of Last-Mile Delivery in the Future of E-commerce.- Production-storage and transport integratedplanning for a multi-site mining industry.- Artificial Intelligence and Blockchain Technologies in Logistics and DSN.- Evaluating a Blockchain-based supply chain purchasing process through simulation.- Questionnaire model for paraconsistent quality assessment of software developed in Sales Force.- Novel Production Planning & Control Approaches.- Supporting the Decision of the Order Processing Strategy by using Logistic Models: A Case Study.- Order acceptance and scheduling with a throughput diagram.- Machine Learning and Artificial Intelligence.- Machine Learning-Supported Planning of Lead Times in Job Shop Manufacturing.- Connected, Smart Factories of the Future.- Identifying Key Business Processes that Can Benefit from Industry 4.0 in the Gas Sector, The Public Gas Distribution Networks Case in Greece.- The impact of Industry 4.0 connectivity on the collaboration along Brazilian automotive supply chain.- Manufacturing Systems Engineering: Agile, Flexible, Reconfigurable.- Towards a reference model for configuration of reconfigurable manufacturing system (RMS).- Automatic Design of Dispatching Rules with Genetic Programming for Dynamic Job Shop Scheduling.- A Literature review on the Level of Automation and new approach proposal.- De-risking investments in industrial systems using Real Options Analysis: Case of chemical industry.- Data-driven Replenishment Method Choice in a Picking System.- Business Process Management for Manufacturing Execution System deployment: some lessons from a bearings manufacturer experience.- An Application of a DSML in Industry 4.0 Production Processes.- Towards an Industry-Applicable Design Methodology for Developing Reconfigurable Manufacturing.- Reconfigurable Manufacturing: Lesson Learnt from the COVID-19 Outbreak.- Digital Assistance Systems: Augmented Reality and Virtual Reality.- Virtual and Augmented reality as a digital support to HR systems in production management.- Application of Virtual Reality Technologies for Achieving Energy Efficient Manufacturing: Literature Analysis and Findings.- Smart Products in Smart Manufacturing Systems: An Opportunity to Utilize AR?.- Evaluation of Augmented Reality in Industry.- Circular Products Design and Engineering.- Finding and Capturing Value in e-Waste for Refrigerators Manufacturers and Recyclers.- Circular, Green, Sustainable Manufacturing.- Sustainable Business Model Innovation in Furniture Supply Chain: A Case Study.- A basic study on scheduling method for electric power saving of production machine.- Sustainability in fabric chains and garments for a circular economy.- Planning environments of hospital laboratories: An exploratory study.- Knowledge and practices towards sustainability and circular economy transitions: A Norwegian manufacturing perspective.- A methodology to integrate sustainability evaluations into vendor rating.- Environmental and Social Lifecycle Assessments.- Travel-Times Analysis and Passenger Transport Disutilities in Congested American Cities: Los Angeles, New York, Atlanta, Austin, and Chicago.- Socio-Cultural Aspects in Production Systems.- The interdependencies of Quality Management, Knowledge Management and Innovation Performance. A literature review.- Insights from a top-down lean subprogram deployment in a corporate group: The use of deployment tactics.- Tools for Evaluating Human Factor Aspects in Production and Logistics System.- Economy and its symbiosis with Circularity.- Data-driven Manufacturing and Services Operations Management.- First Steps to the Digital Shadow of Maintenance Services' Value Contribution.- Reshoring of service operations: evidence from a Delphi study.- Digital and physical testbed for production logistics operations.- Principles and Research Agenda for Sustainable, Data-Driven Food Production Planning and Control.- Product-Service Systems in DSN.- Agile guideline for development of smart services in manufacturing enterprises with support of artificial intelligence.- Collaborative Design and Engineering.- Framework for identifying gripper requirements for collaborative applications in manufacturing.- A novel value driven co-creation framework.- Autonomous mobile robots in hospital logistics.- Interorganizational learning in manufacturing industry.
• (source: Nielsen Book Data)

The two-volume set IFIP AICT 591 and 592 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2020, held in Novi Sad, Serbia, in August/September 2020.The 164 papers presented were carefully reviewed and selected from 199 submissions. They discuss globally pressing issues in smart manufacturing, operations management, supply chain management, and Industry 4.0. The papers are organized in the following topical sections: Part I: advanced modelling, simulation and data analytics in production and supply networks; advanced, digital and smart manufacturing; digital and virtual quality management systems; cloud-manufacturing; cyber-physical production systems and digital twins; IIOT interoperability; supply chain planning and optimization; digital and smart supply chain management; intelligent logistics networks management; artificial intelligence and blockchain technologies in logistics and DSN; novel production planning and control approaches; machine learning and artificial intelligence; connected, smart factories of the future; manufacturing systems engineering: agile, flexible, reconfigurable; digital assistance systems: augmented reality and virtual reality; circular products design and engineering; circular, green, sustainable manufacturing; environmental and social lifecycle assessments; socio-cultural aspects in production systems; data-driven manufacturing and services operations management; product-service systems in DSN; and collaborative design and engineering Part II: the Operator 4.0: new physical and cognitive evolutionary paths; digital transformation approaches in production management; digital transformation for more sustainable supply chains; data-driven applications in smart manufacturing and logistics systems; data-driven services: characteristics, trends and applications; the future of lean thinking and practice; digital lean manufacturing and its emerging practices; new reconfigurable, flexible or agile production systems in the era of industry 4.0; operations management in engineer-to-order manufacturing; production management in food supply chains; gastronomic service system design; product and asset life cycle management in the circular economy; and production ramp-up strategies for product.
(source: Nielsen Book Data)

• The Operator 4
• .0: New Physical and Cognitive Evolutionary Paths.- Facilitating Operator Participation in Continuous Improvement: An Investigation of Organizational Factors.- Improving the Safety of Using Didactic Setups by Augmented Reality.- Production Management as-a-Service: A Softbot Approach.- Knowledge Strategies for Organisation 4.0.- Challenges for the Operator 3.0 Addressed Through the Enabling Technologies of the Operator 4.0.- Agent- and Skill-based Process Interoperability for Socio-Technical Production Systems-of-Systems.- Digital Transformation Approaches in Production Management.- Challenges in Data Life Cycle Management for Sustainable Cyber-Physical Production Systems.- Explainable AI in Manufacturing: A Predictive Maintenance Case Study.- Retrofit Concept for Textile Production.- Organizational enablers for digitalization in manufacturing industry.- Concept of PLM application integration with VR and AR techniques.- The big potential of Big Data in manufacturing: evidence from emerging economies.- A conceptual model for deploying digitalization in SMEs through capability building.- The Potential of Game Development Platforms for Digital Twins and Virtual Labs: Case Study of an Energy.- The Application of ICT Software Solutions in Manufacturing Sector in Serbia.- Achieving Business Model Innovation with the Personalized Product Business Model Radar Template.- Integrating electronic components into 3D printed parts to develop a digital manufacturing approach.- Digital transformation and its potential effects on future management: Insights from an ETO context.- Applying contextualization for data-driven transformation in manufacturing.- Digital Transformation for more Sustainable Supply Chains.- Smart contract-based blockchain solution to reduce supply chain risks.- Towards sustainability: The manufacturers' perspective.- Data-Driven Applications in Smart Manufacturing and Logistics Systems.- Smart Factory Competitiveness based on real time Monitoring and Quality predictive model applied to multi-stages Production lines.- A New Application of Coordination Contracts for Supplier Selection in a Cloud Environment.- Workforce Assignment with a Different Skill Level for Automotive Parts Assembly Lines.- A framework of data-driven dynamic optimisation for smart production logistics.- Decentralized Industrial IoT Data Management Based on Blockchain and IPFS.- Integrated Platform and Digital Twin Application for Global Automotive Part Suppliers.- Analyzing the Characteristics of Digital Twin and Discrete Event Simulation in Cyber Physical Systems.- Streaming Analytics in Edge-Cloud Environment for Logistics Processes.- An Improvement in Master Surgical Scheduling using Artificial Neural Network and Fuzzy Programming.- SKOS Tool: A Tool for Creating Knowledge Graphs to Support Semantic Text Classification.- Data-Driven Services: Characteristics, Trends and Applications.- The successful commercialization of a digital twin in an industrial product service system.- Using Service Dominant logic to assess the value co-creation of Smart Services.- Engineering of data-driven Service Systems for Smart Living: Application and Challenges.- The role of service business models in the manufacturing of transition economies.- System architecture analysis with network index in MBSE approach -Application to smart interactive service with digital health modeling.- The Data-Driven Product-Service Systems Design and Delivery (4DPSS) methodology.- Data-driven maintenance delivery framework: test in an Italian company.- Towards a Comparative Data Value Assessment Framework for Smart Product Service Systems.- Impact of platform openness on ecosystems and value streams in Platform-based PSS exemplified using RAMI 4.0.- Industry 4.0 data-related technologies and servitization: a systematic literature review.- A framework to support value co-creation in PSS development.- The Future of Lean Thinking and Practice.- Utilizing Lean Thinking as a Means to Digital Transformation in Service Organizations.- On the Need of Functional Priority and Failure Risk Assessment to Optimize Human Resource Allocation in Public Service Organizations.- Assessing the Value of Process Improvement Suggestions.- On the Necessity for Identifying Waste in Knowledge Work Dominated Projects: A Case Study from Oil and Gas-Related Product Development Projects.- Lean Thinking: from the shop floor to an organizational culture.- Digital Lean Manufacturing and its Emerging Practices.- A Learning Roadmap for Digital Lean Manufacturing.- Investigating the Challenges and Opportunities for Production Planning and Control in Digital Lean Manufacturing.- New Forms of Gemba Walks and their Digital Tools in the Digital Lean Manufacturing World.- New Reconfigurable, Flexible or Agile Production Systems in the Era of Industry 4.0.- A computational method for identifying the optimum buffer size in the era of Zero Defect Manufacturing.- A Bi-objective Scheduling Model for Additive Manufacturing with Multiple Materials and Sequence-dependent Setup Time.- Dynamic Distributed Job-Shop Scheduling Problem Consisting of Reconfigurable Machine Tools.- Towards a Non-Disruptive System for Dynamic Orchestration of the Shop Floor.- Assembly process design: performance evaluation under ergonomics consideration using several robot collaboration modes.- A Method of Distributed Production Management for Highly-Distributed Flexible Job Shops.- A Digital Twin modular framework for Reconfigurable Manufacturing Systems.- Reconfigurable Digitalized and Servitized Production Systems: Requirements and Challenges.- The impact of dynamic tasks assignment in paced mixed-model assembly line with moving workers.- Balancing and configuration planning of RMS to minimize energy cost.- Operations Management in Engineer-to-Order Manufacturing.- Factors affecting shipyard operations and logistics: A framework and comparison of shipbuilding approaches.- Using the Smartphone as an Augmented Reality Device in ETO Industry.- Exploring the Path Towards Construction 4
• .0: Collaborative Networks & Enterprise Architecture Views.- The Potential for Purchasing function to Enhance Circular Economy Business Models for ETO production.- Planning procurement activities in ETO projects.- Maturity model for successful cost transformation in ETO companies.- Backlog Oriented Bottleneck Management - Practical Guide for Production Managers.- Cross-functional coordination before and after the CODP: an empirical study in the machinery industry.- Production Management in Food Supply Chains.- Food Bank: A Proposal for Short Agri-Food Chains.- The New Frontiers in World Soybean Production: An Analysis of Savanna in Piaui, Brazil.- Prediction of cold chain transport conditions using data mining.- Environmental impact classification of perishable on-road transport using data mining.- Economic and Environmental Perfomance in Coffee Supply Chains: A Brazilian Case Study.- Managing Perishable Multi-Product Inventory with Supplier Fill-Rate, Price Reduction and Substitution.- Digital Technology Enablers for Resilient and Customer Driven Food Value Chains.- Gastronomic Service System Design.- Human-Robot Hybrid Service System Introduction for Enhancing Labor and Robot Productivity.- Forecasting Customers Visiting using Machine Learning and Characteristics Analysis with Low Forecasting Accuracy Days.- A study on menu planning method for managed meal -Consideration of the cost of ordering ingredients.- Service system design considering employee satisfaction.- Product and Asset Life Cycle Management in the Circular Economy.- Exploring synergies between Circular Economy and Asset Management.- Information flows supporting Circular Economy adoption in the manufacturing sector.- A conceptual model of the IT ecosystem for Asset Management in the global manufacturing context.- Production Ramp-up Strategies for Product.- Part Selection for Freeform Injection Molding: framework for development of a unique methodology.- A Model for Cost-Benefit Analysis of Production Ramp-up Strategies.- Key factors on utilizing the production system design phase for increasing operational performance.- Business Model Development for a Dynamic Production Network Platform.- Changeable Closed-Loop Manufacturing Systems: A Case Study of Challenges in Product Take-Back.
• (source: Nielsen Book Data)

The two-volume set IFIP AICT 591 and 592 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2020, held in Novi Sad, Serbia, in August/September 2020. The 164 papers presented were carefully reviewed and selected from 199 submissions. They discuss globally pressing issues in smart manufacturing, operations management, supply chain management, and Industry 4.0. The papers are organized in the following topical sections: Part I: advanced modelling, simulation and data analytics in production and supply networks; advanced, digital and smart manufacturing; digital and virtual quality management systems; cloud-manufacturing; cyber-physical production systems and digital twins; IIOT interoperability; supply chain planning and optimization; digital and smart supply chain management; intelligent logistics networks management; artificial intelligence and blockchain technologies in logistics and DSN; novel production planning and control approaches; machine learning and artificial intelligence; connected, smart factories of the future; manufacturing systems engineering: agile, flexible, reconfigurable; digital assistance systems: augmented reality and virtual reality; circular products design and engineering; circular, green, sustainable manufacturing; environmental and social lifecycle assessments; socio-cultural aspects in production systems; data-driven manufacturing and services operations management; product-service systems in DSN; and collaborative design and engineering Part II: the Operator 4.0: new physical and cognitive evolutionary paths; digital transformation approaches in production management; digital transformation for more sustainable supply chains; data-driven applications in smart manufacturing and logistics systems; data-driven services: characteristics, trends and applications; the future of lean thinking and practice; digital lean manufacturing and its emerging practices; new reconfigurable, flexible or agile production systems in the era of industry 4.0; operations management in engineer-to-order manufacturing; production management in food supply chains; gastronomic service system design; product and asset life cycle management in the circular economy; and production ramp-up strategies for product.
(source: Nielsen Book Data)

• Image Processing for Practical Applications.- New Methods of Forming and Measurement of Sub-pixel Shift of Digital Images.- The Characteristics of the Phase-energy Image Spectrum.- Detectors Fields.- Comparative Evaluation of Algorithms for Trajectory Filtering.
• (source: Nielsen Book Data)

This book attempts to improve algorithms by novel theories and complex data analysis in different scopes including object detection, remote sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. The book is directed to the Ph.D. students, professors, researchers, and software developers working in the areas of digital video processing and computer vision technologies.
(source: Nielsen Book Data)

• Introduction.- Related Work.- Intelligent, Adaptive and social e-learning in POLYGLOT. .
• (source: Nielsen Book Data)

This book discusses three important, hot research issues: social networking-based learning, machine learning-based user modeling and sentiment analysis. Although these three technologies have been widely used by researchers around the globe by academic disciplines and by R&D departments in the IT industry, they have not yet been used extensively for the purposes of education. The authors present a novel approach that uses adaptive hypermedia in e-learning models to personalize educational content and learning resources based on the needs and preferences of individual learners. According to reports, in 2018 the vast majority of internet users worldwide are active on social networks, and the global average social network penetration rate as of 2018 is close to half the population. Employing social networking technologies in the field of education allows the latest technological advances to be used to create interactive educational environments where students can learn, collaborate with peers and communicate with tutors while benefiting from a social and pedagogical structure similar to a real class. The book first discusses in detail the current trend of social networking-based learning. It then provides a novel framework that moves further away from digital learning technologies while incorporating a wide range of recent advances to provide solutions to future challenges. This approach incorporates machine learning to the student-modeling component, which also uses conceptual frameworks and pedagogical theories in order to further promote individualization and adaptivity in e-learning environments. Moreover, it examines error diagnosis, misconceptions, tailored testing and collaboration between students are examined and proposes new approaches for these modules. Sentiment analysis is also incorporated into the general framework, supporting personalized learning by considering the user's emotional state, and creating a user-friendly learning environment tailored to students' needs. Support for students, in the form of motivation, completes the framework. This book helps researchers in the field of knowledge-based software engineering to build more sophisticated personalized educational software, while retaining a high level of adaptivity and user-friendliness within human-computer interactions. Furthermore, it is a valuable resource for educators and software developers designing and implementing intelligent tutoring systems and adaptive educational hypermedia systems. .
(source: Nielsen Book Data)

• Machine and Deep Learning.- Evolutionary and Metaheuristic Algorithms.- Soft Computing. .
• (source: Nielsen Book Data)

The two-volume set LNAI 12468 and 12469 constitutes the proceedings of the 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, held in Mexico City, Mexico, in October 2020. The total of 77 papers presented in these two volumes was carefully reviewed and selected from 186 submissions. The contributions are organized in topical as follows: Part I: machine and deep learning, evolutionary and metaheuristic algorithms, and soft computing. Part II: natural language processing, image processing and pattern recognition, and intelligent applications and robotics.
(source: Nielsen Book Data)