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• Multidisciplinary research on social Networks.- Ethical issues related to SNS.- Information technology and social networks mining.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the Second International Multidisciplinary Social Networks Conference, MISNC 2015, held in Matsuyama, Japan, in September 2015. The 49 full papers presented were carefully reviewed and selected from 125 submissions. The papers deal with the following topics: multidisciplinary research on social networks; ethical issues related to SNS; information technology and social networks mining.
(source: Nielsen Book Data)

• Image Processing and Pattern Recognition: Research on Networked Integration Technology of Remote Sensing Image Processing
• Steganalysis in High-Dimensional Feature Space Using Selective Ensemble Classifiers
• Parallel-Friendly Patch Match Based on Jump Flooding
• Skew Estimation Based on Haar-Like Features
• An Efficient Synthesizing and Tone-Mapping System for High Dynamic Range Images
• Pathological Signal Quantitative Analysis Using Quaternion-Based Image Processing
• The De-nosing Algorithm of ECG Signal Based on Wavelet Packet
• Image and Video Analysis: Improved HSV-Based Gaussian Mixture Modeling for Moving Foreground Segmentation
• An Improved Algorithm Based on IHS Transform for the Fusion of Object and Scene
• A New Method Used in Moving Vehicle Information Acquisition from Aerial Surveillance with a UAV.

• A Robust Bus Detection and Recognition Method Based on 3D Model and LSD Method for Public Security Road Crossing Application
• Real-Time Human Intrusion Detection Using Audio-Visual Fusion
• Interactive Image Segmentation Based on Grow Cut of Two Scale Graphs
• An Improved Video Retargeting Technique Based on Discontinuous Seam Caving
• Interactive Object Segmentation Using Graph Cut and Contour Refinement
• Image Quality Assessment: Generalized Quality Assessment of Blocking Artifacts for Compressed Images
• Visual Comfort Assessment Metric Based on Motion Features in Salient Motion Regions for Stereoscopic 3D Video
• A Comparison of Testing Metrics between 3D LCD TV and 3D PDP TV
• Primary Quality Factor Estimation in Double Compressed JPEG Images Using Quantization Error
• Measurement Algorithm for Image Structure Noise on Hardcopy.

• Reduced Reference Image Quality Assessment Based on Image Statistics in Pixel Domain
• Text Image and Speech Processing: Text Detection from Natural Scene Images Using Scale Space Model
• Text-Independent Writer Identification Using Texture Feature
• Segmentation of Overlapped and Touching Handwritten Chinese Strings
• Word Detecting in Document Image Based on Two-Stage Model
• Competing Model Based Tone Evaluation for Mandarin Speech
• Content Retrieval and Security: Line-Type Moving Object Detection for Sonar Images
• Spatial Detection of Line Scratch Based on Histogram
• An Efficient Isolation Method for Contextual Object Detection
• A Novel and Adaptive Method for Image Search Reranking
• Video Structured Description--Vitalization Techniques for the Surveillance Video Data
• Vehicle Trajectory Description for Traffic Events Detection
• An Automatic TV LOGO Detecting Method
• Source Coding: Quantization Matrix Coding for High Efficiency Video Coding.

• A Framework of Building Complexity Scalable and Cost-Effective Algorithms for HEVC
• Deblocking Filtering Based on View Correlation for Multiview Video Decoding
• Compressive Sensing Image Coding with Perceptual Weighting Measuring Matrix
• Error Concealment for Whole Frame Loss in HEVC
• Error Concealment for B-View in Multi-View Video
• Texture and Correlation Based Fast Intra Prediction Algorithm for HEVC
• A Fast Intra Prediction Algorithm for HEVC
• Multimedia Communication: A Review of Information Content Metric for Semantic Similarity
• Training Sample Acquisition Strategy Based Digital Pre-distortion
• Stream Maximization Transmission for MIMO System with Limited Feedback Unitary Precoding
• The Application of Digital Elevation Model in the Coverage Network Planning Software
• A Novel Dynamic Spectrum Management and Sharing Approach for the Secondary Networks.

• Wireless Multimedia Communication Requirements for Police and PDT+LTE+3G Solution
• Modeling and Simulation of Multi-hop Time Synchronization for Underwater Acoustic Networks Based on OPNET
• A Novel Queue Scheduling Scheme for Video Transmission over IEEE 802.11e WLAN
• New Advances in Broadband Multimedia: Incentive-Based Bandwidth Auction for Scalable Streaming in Peer-to-Peer Networks
• A Client-Driven Selective Streaming System for Multi-view Video Transmission
• Clear Browser: A Dedicated Embedded Browser for Quality-Affordable Smart TVs
• Model-Based Robust Prediction of Cumulative Participant Curve in Large-Scale Events
• Tourists Flow Prediction by Clustering-Based GRNN
• Collision Decoding to Improve the Throughput of OFDM-Based WLAN
• 3D Webpage Rendering by Canvas
• Context Based Universal Service Recommendation Algorithm.

• Human Computer Interface: Pointing Hand Distinction by Improved HOG and Wavelet Multi-scale Transform
• Ontology-Based Personalized Service Discovery Algorithm
• A Circle Detection Method Based on Optimal Parameter Statistics in Embedded Vision
• Design and Implementation of an Embedded Face Recognition System on DM642
• 3D Video: A Local Stereo Matching Algorithm Based on Region Growing
• A Key-Frame Selection Method for Semi-automatic 2D-to-3D Conversion
• Relationship between Max Stereo Angle and Number of Views in Multi-view Stereo Acquisition/Display System
• A New Method of DIBR Based on Background Inpainting
• Edge-Based Algorithm for Multi-view Depth Map Generation
• Real-Time Rendering Based on GPU for Binocular Stereo System
• New HVS-Based Stereoscopic Image Watermarking Algorithm for 3D Media
• Model of Relationship among Views Number, Stereo Resolution and Max Stereo Angle for Multi-view Acquisition/Stereo Display System.

This book constitutes the refereed proceedings of the 9th International Forum on Digital TV and Wireless Multimedia Communication, IFTC 2012, Shanghai, China, November. The 69 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on image processing and pattern recognition; image and video analysis; image quality assessment; text image and speech processing; content retrieval and security; source coding; multimedia communication; new advances in broadband multimedia; human computer interface; 3D video.

• Foundational Methods Enabling Science in an Integrated Ecosystem.- Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models.- Self-learning Data Foundation for Scientific AI.- Preconditioners for batched iterative linear solvers on GPUs.- Mobility Aware Computation Offloading Model for Edge Computing.- Science and Engineering Applications Requiring and Motivating an Integrated Ecosystem.- Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials.- A Vision for Coupling Operation of US Fusion Facilities with HPC Systems and the Implications for Workflows and Data Management.- At-the-edge Data Processing for Low Latency High Throughput Machine Learning Algorithms.- Implementation of a framework for deploying AI inference engines in FPGAs.- Systems and Software Advances Enabling an Integrated Science and Engineering Ecosystem.- Calvera: A Platform for the Interpretation and Analysis of Neutron Scattering Data.- Virtual Infrastructure Twins: Software Testing Platforms for Computing and Instrument Ecosystems.- The INTERSECT Open Federated Architecture for the Laboratory of the Future.- Real-Time Edge Processing During Data Acquisition.- Towards a Software Development Framework for Interconnected Science Ecosystems.- Deploying Advanced Technologies for an Integrated Science and Engineering Ecosystem.- Adrastea: An Efficient FPGA Design Environment for Heterogenous Scientific Computing and Machine Learning.- Toward an Autonomous Workflow for Bragg Peak Detection at SNS.- Industrial experience deploying heterogeneous platforms for use in multi-modal power systems design workflows.- Self-Describing Digital Assets and their applications in an Integrated Science and Engineering Ecosystem.- Simulation Workflows in Minutes, at Scale for Next-Generation HPC.- Scientific Data Challenges.- Machine Learning approaches to High Throughput Phenotyping.- SMC 2022 Data Challenge: Summit Spelunkers Solution for Challenge 2.- Usage Pattern Analysis for The Summit Login Nodes.- Finding Hidden Patterns in High Resolution Wind Flow Model Simulations.- Investigating Relationships in Environmental and Community Health: Correlations Of Environment, Urban Morphology, And Socio-Economic Factors In The Los Angeles Metropolitan Statistical Area.- Patterns and Predictions: Generative Adversarial Networks for Neighborhood Generation.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 22nd Smoky Mountains Computational Sciences and Engineering Conference on Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, SMC 2022, held virtually, during August 23-25, 2022. The 24 full papers included in this book were carefully reviewed and selected from 74 submissions. They were organized in topical sections as follows: foundational methods enabling science in an integrated ecosystem; science and engineering applications requiring and motivating an integrated ecosystem; systems and software advances enabling an integrated science and engineering ecosystem; deploying advanced technologies for an integrated science and engineering ecosystem; and scientific data challenges.
(source: Nielsen Book Data)

• Towards 6G-enabled Edge-Cloud Continuum Computing Initial Assessment
• Experiments with Big Semi-Structured Data Analytics for Digital Marketing
• Stratification of White Blood Cells using Optimized DenseNet201 Model
• "Generating Functions and Approximations of the Caputo Fractional Derivative I"
• Real-time 3D Reconstruction for Mixed Reality Telepresence using Multiple Depth Sensors
• A Robust Data Hiding Scheme Using Singular Value Decomposition and Wavelet Transform
• Simulation Experiments of a Distributed Fault Containment Algorithm Using Randomized Scheduler
• NOVEL COMPUTER VISION APPROACH FOR SCALE-SPECIFIC GENERATIVE STICK FIGURE AS SYNTHETIC TRIBAL ART WORKS
• Facial emotion recognition based on Textural pattern and Histogram of Oriented Gradient
• Fruit-Net: Fruits recognition system using Convolutional Neural Network
• PREDICTION OF GLAUCOMA USING DEEP LEARNING BASED APPROACHES
• Detection of Parkinsons Disease through Telemonitoring and Machine Learning Classifiers
• Implementation of smart contract using Ethereum Blockchain
• Prediction of Compressive strength of Geopolymer Concrete by using Random Forest Algorithm
• Cardiovascular Disease Prognosis & Analysis using Machine Learning Techniques
• Cardiac disease detection using IoT-enabled ECG Sensors and Deep Learning Approach
• Critical Evaluation of SIMON and SPECK BLOCK Cipher for different modes of operation
• An Analysis on the Methods for Water Quality Prediction from Satellite Images and Camera Images
• Energy efficient Routing in wireless sensor network for Moving nodes using Moth Flame Algorithm compared with vector based Routing
• Augmented Reality Using Gesture and Speech Accelerates User Interaction
• Survey and Performance Evaluation of Clustering and cooperative Medium Access protocols for Vehicular Networks
• Improve CNN model Agro-Crop Leaf Disease Identification based on Transfer Learning
• Per User based Multi Threshold Scheduling for BER Improvement compared to Priority Scheduling in MU-MIMO Networks
• Cervical Cancerous Cell Detection using Enhanced Classification and Embedded Deep Learning Method
• Hybridization of AES and RSA algorithm in File Encryption using Parallel Computing
• Lightweight Trust Aware Hybrid Key Management Scheme for WSN to Reduce the Energy Consumption in Comparison with TERP and LTB- AODV
• A comparative analysis of SIW Bandpass filters loaded with different shapes of DGS-DMS for satellite communication
• Efficient Energy Consumption Model for clusters in Wireless Sensor Network
• Emotion Identification from Tamil Song Lyrics using Machine Learning Algorithms
• AI Based Interactive System-HOMIE
• Factors Influencing Security Issues in Cloud Computing
• Code-Based Cryptography: A Comparative Study of Key Sizes
• Advance Collision Prevention System
• Energy Efficient Routing in Underwater Acoustic Sensor Network Using CROW Optimization Algorithm over AODV
• Sign language recognizing using Machine Learning
• A review of Clustering Techniques on Image segmentation for reconstruction of buildings
• Deep Neural Networks for Wild Fire Detection and Monitoring with UAV
• PDR Improvements using Per User based Multi Threshold Scheduling compared to Priority Scheduling for MU-MIMO Networks
• Framework for Land Registry System Using Ethereum Blockchain
• A Comprehensive Study of Plant Disease Detection Using Deep Learning Methods
• APPLICATION OF A NOVEL DEEP LEARNING MODEL TO RECOGNIZE AND PREDICT KIDNEY DISEASE IN THE CONTEXT OF IMAGE PROCESSING
• Classification of adulterated food grain thermal images using Convolutional Neural Networks
• Distributed Hotel chain using Blockchain and Chainlink
• ACCURATE RATING SYSTEM USING BLOCKCHAIN
• Approaches to overcome human limitations by an Intelligent Autonomous system with a level of consciousness in reasoning, decision making and problem-solving capabilities
• BBACTFM (Blockchain Based Accurate Contact Tracing Framework Model) for Tourism Industry
• RANDOMIZED ACTIVE LEARNING TO IDENTIFY PHISHING URL
• Data Analysis on ERP System of Easy-Payment Services
• "SELF-DRIVING CAR: LANE DETECTION AND COLLISION PREVENTION SYSTEM"
• A novel machine learning classification model to analyze the COVID-19 pandemics impact on academics: Sentiment Analysis Approach
• Implementation of Optimal Leaf Feature Selection-based Plant Leaf Disease Classification Framework with RNN+GRU Technique
• Smart Lysimeter with Artificial Lighting and Plant Monitoring System
• Automatic Detection and Monitoring of Hate Speech in Online Multi-Social Media
• Energy Efficient Routing in Wireless Sensor Network for Moving Nodes using Genetic Algorithm Compared with PSO
• "Prediction of Compressive strength of Green Concrete by Artificial Neural Network"
• Early-Stage Dementia Detection by Optimize Feature Weights with Ensemble Learning
• IoT Enabled An Efficient Vehicle Parking System
• RECOMMENDATION SYSTEMS FOR A GROUP OF USERS WHICH RECOMMEND RECENT ATTENTION: Using Hybrid Recommendation Model
• Face mask detection and recognition with high accuracy on live streaming video using with improved YOLO V4 and comparing with Deep Learning Method
• SMART CITIES: P2P Energy Trading Using Blockchain
• A Predictive Energy Saving Technique for 5G Network Base Stations
• Cursor Motion Control using Eye Tracking and Computer Vision
• An IoT-Based Control System to Measure, Analyze, and Track Basic Vital Indicators in Patient Healthcare Monitoring System
• A Comprehensive Review on Skin Disease Classification Using Convolutional Neural Network and Support Vector Machine
• OPTIMIZATION OF ROUTING PROTOCOL FOR UNDERWATER ACOUSTIC SENSOR NETWORK USING MODIFIED LION ALGORITHM OVER DPSO
• COVID-19 Detection in the Images of Chest CT Scan using K-NN in Comparison with NB Classifier to Improve the Accuracy
• Deep learning based dynamic object addition to video instances for creating synthetic data
• Improved Accuracy in Speech Recognition System for Detection of Covid-19 using K Nearest Neighbour and Comparing with Artificial Neural Network
• Role of Artificial Intelligence in the screening of neoplastic oral lesions.

This book constitutes selected papers presented at the First International Conference on Advanced Communication and Intelligent Systems, ICACIS 2022, held as a virtual event in October 2022. The 69 papers were thoroughly reviewed and selected from the 258 subissions. The book focuses on current development in the fields of communication and intelligent systems.

• AI in Industrial Applications
• Application of AI for Disease Classification and Trend Analysis
• Design of agricultural applications using AI
• Disease Classification Using CNN

This two-volume set constitutes reviewed and selected papers from the 12th International Advanced Computing Conference, IACC 2022, held in Hyderabad, India, in December 2022. The 72 full papers and 6 short papers presented in the volume were thorougly reviewed and selected from 415 submissions. The papers are organized in the following topical sections: AI in industrial applications; application of AI for disease classification and trend analysis; design of agricultural applications using AI; disease classification using CNN; innovations in AI; system security and communication using AI; use of AI in human psychology; use of AI in music and video industries

• Innovations in AI
• System Security and communication using AI
• Use of AI in Human Psychology
• Use of AI in Music and Video Industries

This two-volume set constitutes reviewed and selected papers from the 12th International Advanced Computing Conference, IACC 2022, held in Hyderabad, India, in December 2022. The 72 full papers and 6 short papers presented in the volume were thorougly reviewed and selected from 415 submissions. The papers are organized in the following topical sections: AI in industrial applications; application of AI for disease classification and trend analysis; design of agricultural applications using AI; disease classification using CNN; innovations in AI; system security and communication using AI; use of AI in human psychology; use of AI in music and video industries

• Novel Technologies enabled Secured Privacy Models and Optimized Networking Infrastructures toward Secure Industries.- Developments towards Sustainable Healthcare Sector.- Machine Learning and Deep Learning Enabled Applications in Different Sectors.- Robotics and Computer Vision for Intelligent Automation in Industries.- Trending Technologies: Frameworks and Applications focusing Real Life Issues.
• (source: Nielsen Book Data)

This volume constitutes selected and revised papers presented at the First International Conference on Advancements in Interdisciplinary Research, AIR 2022, held in Allahabad, India, in May 2022. The 49 papers were thoroughly reviewed and selected from the 252 submissions. They are organized in topical sections on novel technologies enabled secured privacy models and optimized networking infrastructures toward secure industries; developments towards sustainable healthcare sector; machine learning and deep learning enabled applications in different sectors; robotics and computer vision for intelligent automation in industries; trending technologies: frameworks and applications focusing real life issues.
(source: Nielsen Book Data)

• A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations
• Measuring Bias in Multimodal Models: Multimodal Composite Association Score
• Evaluating Fairness Metrics
• Utilizing Implicit Feedback for User Mainstreaminess Evaluation and Bias Detection in Recommender Systems
• Preserving Utility in Fair Top-k Ranking with Intersectional Bias
• Mitigating Position Bias in Hotels Recommender Systems
• Improving Recommender System Diversity with Variational Autoencoders
• Addressing Biases in the Texts using an End-to-End Pipeline Approach
• Bootless Application of Greedy Re-ranking Algorithms in Fair Neural Team Formation
• How do you feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment
• Understanding Search Behavior Bias in Wikipedia
• Do you MIND? Reflections on the MIND dataset for research on diversity in news recommendations
• Detecting and Measuring Social Bias of Arabic Generative Models in the Context of Search and Recommendation
• What are we missing in algorithmic fairness? Discussing open challenges for fairness analysis in user profiling with Graph Neural Networks

This book constitutes the refereed proceedings of the 4th International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2023, held in Dublin, Ireland, in April 2023. The 10 full papers and 4 short papers included in this book were carefully reviewed and selected from 36 submissions. The present recent research in the following topics: biases exploration and assessment; mitigation strategies against biases; biases in newly emerging domains of application, including healthcare, Wikipedia, and news, novel perspectives; and conceptualizations of biases in the context of generative models and graph neural networks

• AlzRastreo: accompanying Alzheimer's patients and their caregivers
• Application of Artificial Intelligence Techniques for Cancer Data Analysis in Brazil
• Blockchain trends in education: a scientometric review
• Comparison of Deployment Options for Microservices in the Cloud
• Epymodel: A user-friendly web application for visualising COVID-19 projections for Paraguay including under-reporting and vaccination
• Expert System for Software Architecture Selection
• Gamified strategies to increase motivation in middle school programming learning: A Systematic mapping
• Google Cloud Vision and its application in image processing using a Raspberry Pi
• Human Development for the Brave: Supporting the Generation of Empathy, work in Progress
• Model for the evaluation of the quality of Open Data
• Time Model for the WellProdSim Agent-based Social Simulator
• World Model for the WellProdSim Agent-based Social Simulator

This book constitutes the refereed proceedings of the 16th Colombian Congress on Computing, CCC 2022, held in Armenia, Colombia, during October 17–21, 2022 The 12 full papers included in this book were carefully reviewed and selected from 40 submissions. They topics of this volume include software engineering and IT architecture, human-computer interaction, cybersecurity and information security, image processing and computer vision, multimedia, artificial intelligence and robotics, education and ICT, data, information and knowledge, distributed systems and large-scale computing, and formal methods in computer systems, among others

• Mathematical Programming.- A Derivative-Free Nonlinear Least Squares Solver.- Gradient-Type Methods for Optimization Problems with Polyak- Lojasiewicz Condition: Early Stopping and Adaptivity to Inexactness Parameter.- Global Optimization.- An Improved Genetic Algorithm for the Resource-Constrained Project Scheduling Problem.- Nonlocal Optimization Methods for Nonlinear Controlled Systems with Terminal Constraints.- Discrete and Combinatorial Optimization.- Three-Bar Charts Packing Problem.- An 11/7 - Approximation Algorithm for Single Machine Scheduling Problem with Release and Delivery Times.- Optimization and Data Analysis.- Decentralized Strongly-Convex Optimization with Affine Constraints: Primal and Dual Approaches.- Game Theory and Mathematical Economics.- Analysis of the Model of Optimal Expansion of a Firm.- Comparative Analysis of the Efficiency of Financing the State Budget through Emissions, Taxes and Public Debt.- Applications.- Construction of Optimal Feedback for Zooplankton Diel Vertical Migration.- Synthesis of Trajectory Planning Algorithms Using Evolutionary Optimization Algorithms.- Application of Attention Technique for Digital Pre-Distortion.- Forecasting with Using Quasilinear Recurrence Equation.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 13th International Conference on Advances in Optimization and Applications, OPTIMA 2022, held in Petrovac, Montenegro, during September 26-30, 2022. The 13 full papers included in this book were carefully reviewed and selected from 26 submissions. They were organized in topical sections as follows: mathematical programming; global optimization; discrete and combinatorial optimization; optimization and data analysis; game theory and mathematical economics; and applications.
(source: Nielsen Book Data)

• First International Workshop on AI for Web Application Infrastructure and Cloud Platform Security (AWACS 2022).- Towards a Metadata Management System for provenance, reproducibility and accountability in Federated Machine Learning.- Towards a Secure Peer-to-Peer Federated Learning Framework.- MIDA: Micro-Flow Independent Detection of DDoS Attacks with CNNs.- ESOCC 2022 PhD Symposium.- Improving the Key Exchange Process of the eXtended Triple Diffie-Hellman Protocol with Blockchain.- Towards Data Governance for Federated Machine Learning.- ESOCC 2022 Projects Track.- QuickFaaS: Providing Portability and Interoperability between FaaS Platforms.- Cloud Computing Continuum research topics and challenges. A multi-source analysis.- Developing a New DevOps Modelling Language to Support the Creation of Infrastructure as Code.- Urban Heat Island Detection Utilizing Citizen Science.- Using a multi-sourced methodology to identify challenges in Software Technologies research.- ESOCC 2022 Industrial Track.- Rethinking Monitoring for Cloud Environments: BMC Software AIOps Case Study.
• (source: Nielsen Book Data)

This volume contains the technical papers presented in the workshops, which took place at the 9th European Conference on Service-Oriented and Cloud Computing, ESOCC 2022, held in Wittenberg, Germany, in March 2022. The 4 full papers and 7 short papers included in these proceedings were carefully reviewed and selected from 17 submissions. The workshop proceedings volume of ESOCC 2022 contains contributions from the following workshops and events: First International Workshop on AI for Web Application Infrastructure and Cloud Platform Security (AWACS 2022)PhD Symposium of ESOCC 2022ESOCC 2022 Projects TrackESOCC 2022 Industrial Track.
(source: Nielsen Book Data)

• Communications.- Hybrid Solar-Radiofrequency Energy Harvesting System for Fifth Generation 5G Terminals.- Smart Antenna Array for Optimal Electromagnetic Energy Capture.- e-Learning.- Virtual Training Module for the Production of Rubber Adhesives through the Production of Cyclopentenol.- Virtual Training Module for the Extraction of Essential Oils using a Distillation column.- Teaching Digital Competences in University professors: A meta-analysis and systematic literature review in Web of Science.- Evaluation of the Kahoot tool as an applied assessment in Physical Education learning.- Intelligent Systems.- Enhanced Books Recommendation using Clustering Techniques and Knowledge Graphs.- Handwritten signature verification system using convolutional neural network for real-time applications.- A comparison of machine learning algorithms to predict cervical cancer on imbalanced data.- An Electronic Equipment for Automatic Identification of Forest Seed Species.- Automatic Evaluation of Physiotherapy Activities Using Deep Learning Techniques.- Multivariable control approach applied to the embryo incubation process of gallus gallus domesticus.- Discovering visual deficiencies in pilots candidates using data mining.- An Electronic Equipment for Measuring Color Difference between Tissues based on Digital Image Processing and Neural Networks.- Artificial intelligence-based banana ripeness detection.- U-Net vs. TransUNet: Performance Comparison in Medical Image Segmentation.- Access control through mask detection and estimation of people capacity in covered premises.- Customer segmentation in food retail sector: an approach from customer behavior and product association rules.- Bibliometric analysis of Web of Science database STEM fields in Engineering and Mathematics. Ecuador's case study.- Image processing method to estimate water quality parameter.- Use of the Student Engagement as a strategy to optimize online education, applying a supervised machine learning model using facial recognition.- Crime Data Analysis Using Machine Learning Models.- Machine Vision.- Gene therapy as a solution to genetic diseases through DNA manipulation.- Security.- Vulnerability of CAPTCHA systems using bots with machine vision skills.- Military Leadership in the Ecuadorian Army.- Analysis of key variables for Ecuadorian defense industry development.- The prioritization of external security as a means of guaranteeing multidimensional security and economic growth.- Comparative Study of Deep Learning Algorithms in the Detection of Phishing Attacks Based on HTML and Text Obtained from Web Pages.- Ground Robot for Research and Rescue Management.- A virtual shooting range, experimental study for military training.- Recovery of Level III Ballistic Plates by reinforcing and renewing their structural components.- Technology Trends.- A Blockchain-Based Model for OAuth Authorization via Third-Party Web Application.- A blockchain-based prototype to support the medical prescription control.- Identification system based on facial recognition services in the cloud.- ESPE-Chat: An inclusive application for people with hearing impairment.- IoT for energy saving in homes in Santo Domingo de los Tsachilas.- Monitoring system based on an IOT platform for an axial flow permanent magnet generator.- Cyber-Physical Systems in Education: A New Approach to Continuous Improvement and Agile Learning.- Open-source platform for development of taximeters: Adjustment Software.- XiMent: Multiplatform cognitive training system based on multimedia technologies and Reminiscence methodology for the population of older adults with mild cognitive impairment.- A dataset for analysis of quality code and toxic comments.- Model-Driven Engineering Applied to User Interfaces. A Systematic Literature Review.- A model based on attitudinal factors which impact the development of technical projects as undergraduate work.
• .
• (source: Nielsen Book Data)

This three-volume set CCIS 1755-1757 constitutes the refereed proceedings of the 4th International Conference on Applied Technologies, ICAT 2022, held in Quito, Ecuador, in November 2022. The 112 full papers included in this book were carefully reviewed and selected from 415 submissions. They were organized in topical sections as follows: human computing and information science, IT financial and business management.
(source: Nielsen Book Data)

• AT for Engineering Applications.- Low Cycle Fatigue in Welded Reinforcing Steel Bars.-Spirometer with automatic disinfection.- Nonlinear behavior of Steel frames with concentric and eccentric bracing.- Tensile strength PLA reinforced with perolera pineapple fiber comparison, based on the reinforcement fiber direction.- Evaluation of horizontal and vertical positions obtained from an unmanned aircraft vehicle applied to large scale cartography of infrastructure loss due to the earthquake of April 2016 in Ecuador.- Masonry reinforcement using cabuya fiber and perimetral electro-welded mesh.- Evaluation of the seismic vulnerability of the Huachi Chico parish in Ecuador.- Proposal for a unique Cartographic Projection System for the Galapagos Islands in order to generate cartography at large scales.- Prioritization of a micro-basin of the Daule river sub-basin with strong erosional problems and their effect to the turbidity of the water in the city of Guayaquil, coastal Ecuador.- Water, sanitation and socioeconomic situation in two communities in the Cayapas river, Ecuador.- Application of Ecuadorian ferrotitaniferous sands in reinforcing epoxy composites.- Behavior of influencing parameters of the Fused Deposition Modeling process in dissimilar combinations: polymer-3D printer.- Bamboo Cellulose Textile Filament "Angustifolia" Floating Root Resin.- Development of a settlementmeter for the control and monitoring of embankments through the use of artificial intelligence.- Removal of arsenic and heavy metals from contaminated water with emerging sorbents.- Implementation of the CAESAR-Lisflood cellular automated landscape evolution model to determine possible flood areas in the Portoviejo river sub-basin, Coastal Ecuador.- Exergetic analysis of reheating and regeneration alternatives in steam cycles for the generation of electricity from municipal solid waste.- Water quality and dynamic time series based on meteorological variables at the Muisne station located in the Bunche enclosure, Esmeraldas, Ecuador.- Electronics.- An electronic equipment for monitoring, detection and warning of pitch motion of vehicle drivers.- Pose Estimation for Nonlinear Visual Servo Control of an Omnidirectional Platform.- Design of a Model Based Predictive Control (MPC) Strategy for a Desalination Plant in a Hardware in the Loop (HIL) Environment.- Modeling of a Robotic Arm for the Appli-cation of Welding Processes.- Passive Positioning of Autonomous Underwater Vehicles.- Hybrid Storage System based on Rectenna and Photovoltaic Cells for Low Power IoT Wireless Devices.- Design and construction of an anthropomorphic robotic head with gestural projection.- Energy harvesting: energy sources, excitation type and conversion mechanisms.- Experimental study of a flat solar collector with thermal energy storage, applying improvements based on bibliometric review and CAD simulation.- Implementation of PID and MPC controllers for a quadruple tank process in a 3D virtual system, using the hardware in the loop technique.- Advanced Control Algorithms for a Horizontal Three-Phase Separator in a Hardware in the Loop Simulation Environment.- Appropriate technology for solar thermal desalination by concentration applied the humidification-dehumidification method.- Practical Framework for Optimal Planning of Microgrids for Production Processes.- Knowledge Exploration in Life Sciences.- Impacto de la asociacion quinua (Chenopodium quinoa Willd) haba (Vicia faba L.) en la produccion agricola, fijacion biologica y reciclaje de Nitrogeno.- Evaluation of the environmental impacts generated by the management of urban solid waste in the open waste dump in Loreto, Eastern Ecuador.- Spatial and temporal distribution of salinity levels and macronutrients of soils after the construction of dams on tropical dry forest.- The importance of epigenetics in leukemia.
• (source: Nielsen Book Data)

This three-volume set CCIS 1755-1757 constitutes the refereed proceedings of the 4th International Conference on Applied Technologies, ICAT 2022, held in Quito, Ecuador, in November 2022. The 112 full papers included in this book were carefully reviewed and selected from 415 submissions. They were organized in topical sections as follows: human computing and information science, IT financial and business management.
(source: Nielsen Book Data)

• Human computing and information science.- "A single mother's perspective on her 5-year-old child's self-esteem": A case study in Early Childhood Education.- Didactic Strategies in the Face of Disruptive Behavior at the School Stage.- Demystifying EFL teachers' Experiences During the Pandemic: A Study of the Psychosocial Risks Resulting from COVID-19.- Parents Participation at the Initial Level in Virtual Education: A Case Study in a Peruvian School.- Teaching Experience on n Virtual Dramatization in the Development of Social Skills in Preschoolers.- Assessing digital competence through teacher training in early education teachers.- Social networks, sustainable, satisfaction and loyalty in Tourist Business.- Web 3.0 resources in the development of autonomous work of Higher Education students in times of Covid-19 Pandemic.- Technology for learning and knowledge strategies in virtual education: a case study of Higher Education.- Abrasion thermo-transference fabric vinyl resistance and its application in haptics perception stimuli.- Gamification, Nearpod platform in academic performance in virtual classes for Higher Education students.- Gamification in the development of meaningful mathematics learning in students with unfinished schooling.- Gambling as a methodological strategy of probabilities in university students.- Thermo-transferable vinyl as high embossment textile finish for the visually impaired pattern recognition by haptics perception - Case study.- Performance Evaluation of Psychology Teachers of a Private University in Lima - Peru: An Experience in Emergency Remote Teaching.- Using Gamification to develop Vocabulary and Grammar among A1 level of English Students: A Quasi-Experimental Design.- Statistical analysis of university academic performance in the area of Exact Sciences, before and during the Covid-19 Pandemic.- Performance in the Practice of Mountain Biking Using the Samsung Health App: An Experience in Physical Education with University Students.- Analysis and Incidents in the professional practices of IT university students in the context of the COVID-19 Pandemic.- Written Corrective Feedback: A Case Study of the Effectiveness of Direct, Indirect Coded, and Indirect Uncoded Feedback.- Is it Possible to do Early Stimulation in Virtuality? "An Educational Experience for Child Cognitive Development.- Teacher Digital Literacy and its Influence on Learning Sessions at the Initial Level in Schools in the Context of Covid-19.- Consumer's representation of Short Food Supply Chains based on social media interaction response: The case of a Peruvian Governmental Programme.- Musculoskeletal ailments and working conditions in teachers who telework: A case study from a private institution in the city of Guayaquil.- IT Financial and Business Management.- Analysis of the Impact of the Ethical Training of Public Accounting Students at Uniminuto uvd and Their Competence in the Face of Ethical Dilemmas in the Professional Field.- Leadership Styles and Organizational Culture in a Real Estate Company.- Inclusive Policies and Teaching Practices in Educational Institutions, In Pandemic.- Covid 19 Pandemic Assessment of the Employment Status of Home-Based Workers.- Public spending and profitability: analysis in Ecuadorian public companies.- Intellectual capital and its impact on the financial efficiency of commercial and manufacturing companies for Pichincha province (2017-2019).- Influence of technological capabilities on business innovation.- Culture and Job Satisfaction in an Agroindustrial Company In Chepen, 2021.- Administrative Management and Labor Disputes In the Municipality of Cochorco.- Job Satisfaction in Teacher Training: a look from Burnout syndrome.- Importance of Organizational Culture in the Sustainability of Paperboard Companies in the DMQ.
• (source: Nielsen Book Data)

This three-volume set CCIS 1755-1757 constitutes the refereed proceedings of the 4th International Conference on Applied Technologies, ICAT 2022, held in Quito, Ecuador, in November 2022. The 112 full papers included in this book were carefully reviewed and selected from 415 submissions. They were organized in topical sections as follows: human computing and information science, IT financial and business management.
(source: Nielsen Book Data)

• Data Mining
• Metaheuristics and Swarm Intelligence
• Computer Vision
• Artificial Intelligence Applications
• Machine and Deep Learning
• NLP and Text mining

This volume constitutes selected papers presented during the 5th Artificial Intelligence Doctoral Symposium, AID 2022, held in Algiers, Algeria, in September 2022. The 22 presented full papers were thoroughly reviewed and selected from the 38 qualified submissions. They are organized in the following topical sections: data mining; metaheuristics and swarm intelligence; computer vision; Artificial Intelligence applications; machine and deep learning; NLP and text mining

• Information Systems, Mathematics and Data Analyses.- Anomaly detection in IoT using Extended Isolation Forest.- A novel dimensional reduction strategy based on a fine-pruned decision tree classifier for detecting DDoS attacks in cloud computing environments.- A survey on Large Dataset Minimum Spanning Trees.- Characterization of Simple Sequence Repeats: Evolutionary Implications from Ancient Human Mitochondrial Genome.- Comparative Exploration of Statistical Techniques for Landslide Identification and Zonation Mapping and Assessment: A Critical Review.- Enhanced Security and Privacy for IoT based Locker System operated at Low Frequency Spectrum using Blockchain.- Genetic Algorithm Based Adaptive PID Tuning of Time Delay Process.- Hybridization of Sine-Cosine Algorithm with K-Means for Pathology Image Clustering.- Industrial Warehouse Robot Simulation Using ROS.- Major Challenges and Threats of Blockchain Technology.- SecVT: Securing the Vehicles of Tomorrow using Blockchain Technology.- Applied Artificial Intelligence.- A Comparative Analysis of Machine Learning Based Sentiment Analysis.- ANN-Based Performance Prediction in MoCs.- Assessment of shallow and deep learning models for prediction of sea surface temperature.- Bioinformatics Analysis of Oral Squamous Cell Carcinomas and Their Interaction to Identify Molecular Signatures.- Music Learning Android App Development forAutistic Children.- NecklaceFIR: A large volume benchmarked necklace dataset for fashion image retrieval.- Optimal Sample Size Calculation for Machine Learning Based Analysis for Suicide Ideation.- Query Focused Video Summarization: A Review.- Sleep-wake classification using acceleration data from wearable wrist worn sensors: review.- Understanding Fake News Detection on Social Media: A Survey on Methodologies and Datasets.- Freshness quality detection of tomatoes using computer vision.- Facial Gesture Recognition based Real Time Gaming for Physically Impairment.- Deep Learning approaches for analysis and detection of Tomato leaf diseases.- Prediction of Impact Energy of Steel using Artificial Neural Network.- A New Method of Galaxy Classification Using Optimal Convolution Neural Network.- Early Detection of Pneumonia using Deep Learning Approach.- Concrete Crack Segmentation using Histogram Based Fast Clustering and Morphological Operators.- Human Gender Classification based on Hand Images using Deep Learning.- Artificial Intelligence based Smart Government Enterprise Architecture (AI-SGEA) Framework.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the First International Symposium on Artificial Intelligence, ISAI 2022, held in Haldia, India, during February 17-22, 2022. The 30 full papers included in this book were carefully reviewed and selected from 75 submissions. They were organized in topical sections as follows: information systems, mathematics and data analyses; and applied artificial intelligence. .
(source: Nielsen Book Data)

• Algorithmic, Data Driven and Symbolic AI.- Socio-technical and human-centered AI.- Responsible and Ethical AI.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the Third Southern African Conference on Artificial Intelligence Research, SACAIR 2022, held in Stellenbosch, South Africa, in December 2022. The 26 papers presented were thoroughly reviewed and selected from the 73 submissions. They are organized on the topical sections on algorithmic, data driven and symbolic AI; socio-technical and human-centered AI; responsible and ethical AI. .
(source: Nielsen Book Data)

• Intro
• Preface
• Organization
• Contents
• Big Data and New Method
• Data-Driven Energy Efficiency Evaluation and Energy Anomaly Detection of Multi-type Enterprises Based on Energy Consumption Big Data Mining
• 1 Introduction
• 2 Determination of the Optimal Number of Clusters
• 3 Energy Consumption Pattern Recognition Based on K-Means Clustering
• 4 Abnormal Analysis of Energy Consumption Data
• 4.1 LOF Algorithm
• 4.2 CEEMDAN Algorithm
• 5 Example Simulation and Analysis
• 5.1 Enterprise Energy Consumption Mode Division

• 5.2 Abnormal Energy Consumption Detection for Enterprises
• 6 Conclusion
• References
• Research on Data-Driven AGC Instruction Execution Effect Recognition Method
• 1 Introduction
• 2 Independent Recurrent Neural Network
• 2.1 Recurrent Neural Network
• 2.2 Improvement of Deep Recurrent Neural Network
• 3 KPCA Preprocessing Process
• 4 Identification Process of AGC Instruction Execution Effect
• 5 Example Analysis
• 5.1 Basic Information of the Example
• 5.2 Comparative Analysis of Training Set and Validation Set
• 5.3 Comparative Analysis of DIndRNN Model and MLP Model

• 5.4 Influence of Preprocessing Strategy on Model Prediction Accuracy
• 6 Conclusion
• References
• Research on Day-Ahead Scheduling Strategy of the Power System Includes Wind Power Plants and Photovoltaic Power Stations Based on Big Data Clustering and Filling
• 1 The Introduction
• 2 K-Means Clustering Method for Massive Power Grid Data
• 3 Missing Data Processing Strategy Based on Historical Data Assisted Scene Analysis
• 4 Construction of Power System Optimization Model Including Wind Power Plant and Optical Power Station
• 4.1 Doubly-Fed Asynchronous Fan

• 4.2 Photovoltaic Power Array
• 4.3 The Objective Function
• 4.4 The Constraint
• 5 Example Analysis
• 5.1 The Example Described
• 5.2 Analysis of Optimization Results
• References
• Day-Ahead Scenario Generation Method for Renewable Energy Based on Historical Data Analysis
• 1 The Introduction
• 2 General Framework of Day-Ahead Scenario Generation Method for Renewable Energy
• 3 Cluster Analysis Based on Deep Embedding Clustering
• 3.1 Overall Framework of Deep Embedding Clustering Algorithm
• 3.2 Stacked Autoencoder
• 3.3 Initial Clustering of Low-Dimensional Features

• 3.4 Joint Optimization
• 4 Day-Ahead Scenario Generation Based on C-DCGAN
• 4.1 Conditional Deep Convolution GAN
• 4.2 Building Models Based on C-DCGAN
• 4.3 Training of the C-DCGAN Model
• 5 Determination and Evaluation of the Day-Ahead Value
• 5.1 Determination of the Day-Ahead Prediction Value
• 5.2 Evaluation of the Day-Ahead Prediction Value
• 6 Example Analysis
• 6.1 Day-Ahead Scenario Generation
• 6.2 Method Comparison
• 7 Conclusion
• References
• A High-Frequency Stock Price Prediction Method Based on Mode Decomposition and Deep Learning
• 1 Introduction
• 2 Related Work

This book constitutes the refereed proceedings of the 4th International Conference on Big Data and Security, ICBDS 2022, held in Xiamen, China, during December 812, 2022. The 51 full papers and 3 short papers included in this book were carefully reviewed and selected from 211 submissions. They were organized in topical sections as follows: answer set programming; big data and new method; intelligence and machine learning security; data technology and network security; sybersecurity and privacy; IoT security.

• Evolutionary Computation & Swarm Intelligence
• Surrogate Model-Assisted Evolutionary Algorithms for Parameter Identification of Electrochemical Model of Lithium-Ion Battery: A Comparison Study
• Research on Multi-modal Multi-Objective Path Planning by Improved Ant Colony Algorithm
• Local Path Planning Algorithm Designed for Unmanned Surface Vessel Based on Improved Genetic Algorithm
• A Multi-Objective Particle Swarm Algorithm Based on a Preference Strategy
• An Improved Harris Hawk Optimization Algorithm Based on Spiral Search and Neighborhood Perturbation
• S-Plane Controller Parameter Tuning Based on IAFSA for UUV
• A Reinforcement-Learning-Driven Bees Algorithm for Large-Scale Earth Observation Satellite Scheduling
• Optimal Formation of UUV Groups Based on Shape Theory and Improved Ant Colony Algorithm Under Communication Delay
• Global Path Planning for Unmanned Ships Based on Improved Particle Swarm Algorithm
• A Self-Adaptive Single-objective Multitasking Optimization Algorithm
• Improved Whale Optimization Algorithm by Multi-mechanism Fusion
• Multi-stage Objective Function Optimized Hand-Eye Self-calibration of Robot in Autonomous Environment
• An Improved Chaos-based Particle Swarm Optimization Algorithm
• Task Location Distribution based Genetic Algorithm for UAV Mobile Crowd Sensing
• The Utilities of Evolutionary Multiobjective Optimization for Neural Architecture Search An Empirical Perspective
• Research on Unmanned Ship Collision Avoidance Algorithm based on Improved Particle Swarm Pptimization Algorithm
• Solving Constrained Multi-objective Optimization Problems with Passive Archiving Mechanism
• A Comparison of Large-scale MOEAs with Informed Initialization for Voltage Transformer Ratio Error Estimation
• Enabling Surrogate-assisted Evolutionary Reinforcement Learning via Policy Embedding
• An Improved MPCA Algorithm with Weight Matrix Based on Many-objective Optimization
• Machine Learning & Deep Learning
• Research on Helmet Wearing Detection Based on Improved YOLOv4 Algorithm
• Research on Target Detection Algorithm of Unmanned Surface Vehicle Based on Deep Learning
• A Review On Bio-inspired Fluid Mechanics Via Deep Reinforcement Learning
• Memristor-Based Neural Network Circuit of Operant Conditioning with Overshadowing
• Continual Learning with a Memory of Non-similar Samples
• Research on Soil Moisture Prediction Based on LSTM-Transformer Model
• Graph Contrastive Learning with Intrinsic Augmentations
• Research on Global Collision Avoidance Algorithm for Unmanned Ship Based on Improved Artificial Potential Field Algorithm
• OCET: One-dimensional Convolution Embedding Transformer for Stock Trend Prediction
• A Rapid, Precise Spiking Neural Network Approach for Image Recognition
• Research on Improved Image Dehazing Algorithm Based on Dark Channel Prior
• Reinforcement Learning Based Vertical Scaling for Hybrid Deployment in Cloud Computing
• Swing-up and Balance Control of Cart-pole Based on Reinforcement Learning DDPG
• Yolov5 Outdoor Dynamic Object Detection Based on Multi-scale Feature Fusion
• Intelligent Control & Simulation
• Multi-UUV Formation Cooperative Full-area Coverage Search Method
• Multi-scale Simulations of Flow in the Upper Open Area of a Luxury Cruise Ship
• Research on Course Control Algorithm of Unmanned Craft based on Model Predictive Control
• Multi-UUV Underwater Target Cooperative Detection Task Planning and Assignment
• Multi-UUV Cooperative Navigation and Positioning Algorithm under Communication Delay
• The Research of the Consistency Control under The Condition of Time-lag of Isomerism AUV Group Communication
• Non-uniform Deformation Behavior of Magneto-sensitive Elastomer Containing Uniform Sphere Particles with V Arrangement
• Study on the Influence of Exit Width Change on Heterogeneous Passengers Evacuation based on the Social Force Model
• A Review of Longitudinal Vibration and Vibration Reduction Technology of Propulsion Shafting
• Design and Simulation of Heading Controller for Unmanned Boat Based on Fuzzy Neural PID
• Flexible Formation Control of Multiple Unmanned Vehicles based on Artificial Potential Field Method
• Local Path Planning Combined with the Motion State of Dynamic Obstacles
• Simulation of Airflow Characteristics of a Seabird Following a Ship Based on Steady States
• Numerical Simulation of Bionic Undulating Fin Surface Drag Reduction Structure
• Molecular Computing & Nanotechnology
• Integrated Design and Absorbing Performance Analysis for Periodic Wave Absorbing and Bearing Structures
• Diffusion Optimization Algorithm Based on Membrane Calculation
• Tuning Geometric Conformations of Curved DNA Structures by Controlling Positions of Nicks
• A Sensitive Nanothermometer Based on DNA Triplex Structure
• Microwave Absorption Properties of Double-layer Absorbing Material Based on Carbonyl Iron and Graphene Composites
• Reconfigurable Nanobook Structure Driven by Polymerase-triggered DNA Strand Displacement
• An Analysis for Thermal Conductivity of Graphene/polymer Nanocomposites
• Simulation of Aflatoxin B1 Detection Model Based on Hybridization Chain Reaction.

This book constitutes the refereed proceedings of the 17th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2022, held in Wuhan, China, during December 1618, 2022. The 56 full papers included in this book were carefully reviewed and selected from 148 submissions. They were organized in topical sections as follows: evolutionary computation and swarm intelligence; machine learning and deep learning; intelligent control and simulation and molecular computing and nanotechnology.

• Brain Stroke Prediction using the Artificial Intelligence.- Game Rules Prediction - Winning Strategies using Decision Tree Algorithms.- Quantitative Analysis of the Impact of Demography and Job Profile on the Organizational Commitment of the Faculty Members in the HEI's of Uttarakhand.- Prostate Cancer Data Analytics Using Hybrid ECNN And ERNN Techniques.- A Review on Smart Patient Monitoring and Management in Orthopaedics using Machine Learning.- A Machine Learning Framework for Detection of Fake News.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the First International Conference on Business Data Analytics (ICBDA 2022) held in Dehradun, India, in October 7-8, 2022. The purpose of conference is to bring the diverse community of data scientist, machine learning, analytics, and data specialist from all over the world to share their original piece research. The 6 full papers included in this proceedings were selected among 107 submissions in a single-blind review process. The theme of conference includes three sub categories: Predictive Modelling and Data Analytics, Decision Analytics and Support System and Business data Analytics.
(source: Nielsen Book Data)