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• An Evolving Feature Weighting Framework for Granular Fuzzy Logic Models.- Fuzzy Multi-Criteria Decision-Making: Example of an explainable classification framework.- Rough-Fuzzy Rule Interpolation for Data-Driven Decision Making.- Fuzzy Intelligent System for Improving High Availability of a Docker-Based Hybrid Cloud Infrastructure.- A Study of Neuro-weighted Nearest-neighbour Classification.- Q-Routing with Multiple Soft Requirements.- Avoiding Excess Computation in Asynchronous Evolutionary Algorithms.- Stochasticity improves evolvability in articial gene regulatory networks.- ACO Inspired GA Mutation Applied to the TSP.- Centralised and Decentralised Control of Video Game Agents.
• (source: Nielsen Book Data)

This book contains the papers presented at the 20th UK Workshop on Computational Intelligence (UKCI 2021), held virtually by Aberystwyth University, 8-10th September 2021. This marks the 20th anniversary of UKCI; a testament to the increasing role and importance of Computational Intelligence (CI) and the continuing interest in its development. UKCI provides a forum for the academic community and industry to share ideas and experience in this field. EDMA 2021, the 4th International Engineering Data- and Model-Driven Applications workshop, is also incorporated and held in conjunction with UKCI 2021. Paper submissions were invited in the areas of fuzzy systems, neural networks, evolutionary computation, machine learning, data mining, cognitive computing, intelligent robotics, hybrid methods, deep learning and applications of CI.
(source: Nielsen Book Data)

• Biomedical Applications
• Anemia Detection using a Full Embedded Mobile Application with YOLO Algorithm
• On the Use of Convolutional Neural Network Architectures for Facial Emotion Recognition
• Automated Preprocessing Pipeline in Visual Imagery Tasks
• Multilabel and Multiclass Approaches Comparison for Respiratory Sounds Classification
• Alternative Proposals and its Applications. - Weighted Hausdor Distance Loss as a Function of Di

This book constitutes revised and extended selected papers of the 4th IEEE Colombian Conference, ColCACI 2021, which was held virtually in Colombia at the end of May 2021. The 7 full papers presented in the volume were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on biomedical applications and alternative proposals and its applications.

• Algorithm.- Vision.- Robotics and Application.
• (source: Nielsen Book Data)

This book constitutes the refereed post-conference proceedings of the 6th International Conference on Cognitive Systems and Signal Processing, ICCSIP 2021, held in Suzhou, China, in November 2021.The 41 revised papers presented were carefully reviewed and selected from 105 submissions. The papers are organized in topical sections on algorithm; vision; and robotics and application.
(source: Nielsen Book Data)

• Solving Graph Coloring Problem Using Ant Colony Optimization, Simulated Annealing And Quantum Annealing - A Comparative Study.- Computer Assisted Diagnosis and Neuroimaging of Baby Infants.- Early Prediction of Ebola Virus Using Advanced Recurrent Neural Networks.- A Three-Step Fuzzy based BERT Model for Sentiment Analysis.- Mayfly Algorithm Based PID Controller for LFC of Multi Sources Single Area Power System.- Group Key Management Techniques for Secure Load Balanced Routing Model.- Search Techniques for Data Analytics with focus on Ensemble Methods.- A Survey on Underwater Object Detection.- COVACDISER: A Machine Learning based Web Application to Recommend the Prioritization of COVID-19 Vaccination.- Research of High-Speed Procedures for Defuzzification Based on the Area Ratio Method.- A Single Qubit Quantum Perceptron for OR and XOR Logic.- Societal Gene Acceptance Index Based Crossover in GA for Traveling Salesman Problem.- The method of automated neuro-fuzzy calibration of geometrically distorted images of digital X-ray tomographs.
• (source: Nielsen Book Data)

This book gathers extended versions of papers presented at DoSIER 2021 (the 2021 Third Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during November 12-13, 2021). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.
(source: Nielsen Book Data)

• Low-Light Image Enhancement with Artificial Bee Colony Method.- Optimal State-Feedback Controller Design for Tractor Active Suspension System via Levy-Flight Intensified Current Search Algorithm.- The Artificial Intelligence Platform with the Use of DNN to Detect Flames: A Case of Acoustic Extinguisher.- Adaptive harmony search for cost optimization of reinforced concrete columns.- Best Traffic Signs Recognition Based on CNN Model for Self-Driving Cars.- Optimisation and Prediction of Glucose Production from Oil Palm trunk via Simultaneous Enzymatic Hydrolysis.- Synthetic data augmentation of cycling sport training datasets.- Optimal Compensation of Bouc-Wen model hysteresis using square dither.- Hybrid Pooling Based Convolutional Neural Network for Multi-class Classification of MR Brain Tumor Images.- Importance of Fuzzy Logic in Traffic and Transportation Engineering.- A Fuzzy Based Clustering Approach to Prolong the Network Lifetime in WSNs.- Visual Expression Analysis from Face Images Using Morphological Processing.- Detection of invertebrate virus carriers using deep learning networks to prevent emerging pandemic-prone disease in tropical regions.- Classification and detection of Plant Leaf Diseases using various Deep Learning techniques and Convolutional Neural Network.- Distributed Self-triggered Optimization for Multi-agent Systems.- Automatic Categorization of News Articles and Headlines using Multi-layer Perceptron.- Using Machine Learning Techniques for Estimating the Electrical Power of a New-Style of Savonius Rotor: A Comparative Study.- Tree-like Branching Network for Multi-class Classification.- Multi-Resolution Dense Residual Networks with High- Modularization for Monocular Depth Estimation.- A Decentralized Federated Learning paradigm for Semantic Segmentation of Geospatial Data.- Development of Contact Angle Prediction for Cellulosic Membrane.- Feature Engineering Based Credit Card Fraud Detection for Risk Minimization in E-Commerce.- DCNN-LSTM Based Audio Classification Combining Multiple Feature Engineering and Data Augmentation Techniques.- Sentiment Analysis: Developing an Efficient Model Based on Machine Learning and Deep Learning Approaches.- Improved Face Detection System.- Paddy Price Prediction in the South-Western Region of Bangladesh.- Paddy Disease Prediction Using Convolutional Neural Network.- Android Malware Detection System: A Machine Learning and Deep Learning based Multilayered Approach.
• (source: Nielsen Book Data)

This book includes the scientific results of the fourth edition of the International Conference on Intelligent Computing and Optimization which took place at December 30-31, 2021, via ZOOM. The conference objective was to celebrate "Compassion and Wisdom" with researchers, scholars, experts and investigators in Intelligent Computing and Optimization worldwide, to share knowledge, experience, innovation-marvelous opportunity for discourse and mutuality by novel research, invention and creativity. This proceedings encloses the original and innovative scientific fields of optimization and optimal control, renewable energy and sustainability, artificial intelligence and operational research, economics and management, smart cities and rural planning, meta-heuristics and big data analytics, cyber security and blockchains, IoTs and Industry 4.0, mathematical modelling and simulation, health care and medicine.
(source: Nielsen Book Data)

• Missing Data Imputation for Solar Radiation using Generative Adversarial Networks.- A Survey on Object Detection and Tracking in a Video Sequence.- Story-Plot Recommender using Bidirectional LSTM network.- A Novel Technique for Fake Signature Detection using Two-Tiered Transfer Learning.- Personality Prediction through Handwriting Analysis using Convolutional Neural Networks.- A review on deep learning framework for Alzheimer Disease detection from MRI.- Machine Learning And IoT Based Ultrasonic Humidification Control System For Longevity Of Fruits And Vegetables.- Classification of Melanoma using Efficient Nets with Multiple Ensembles and Metadata.- Performance of Optimization Algorithms in Attention based Deep Learning Model for Fake News Detection System.
• (source: Nielsen Book Data)

The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2020) held at Indian Institute of Information Technology, Pune, India during 12-13 December, 2020. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning. metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.
(source: Nielsen Book Data)

• 1. Investigation of Consumer Perception towards Digital Means of Food Ordering ServicesDr. Arpita Srivastav, Ms. Radhika Malhotra, Dr Arvind Kumar Bhatt, Dr Priyanka Srivastava
• 2. A systematic review of blockchain technology to find current scalability issues and solutions
• Bhargavi K. Chauhan and Dr. Dhirenbhai B. Patel
• 3. Secured Blind Image Watermarking using Entropy Technique in DCT Domain
• Megha Gupta and Dr. R Rama Kishore
• 4. Prediction of Heart Disease using Genetic Algorithm
• Nagaraj M. Lutimath, Ramachandra H V, Raghav S, and Neha Sharma
• 5. Secured information infrastructure for exchanging information for digital governance
• Mohd Shukri bin Alias and Shyam Bihari Goyal
• 6. Spiral CAPTCHA with Adversarial Perturbation and its Security Analysis with Convolutional Neural Network
• Shivani and C Rama Krishna
• 7. Predicting classifiers efficacy in relation with data complexity metric using under-sampling techniques
• Deepika Singh, Anju Saha, Anjana Gosain
• 8. Energy Efficient Data Transmission in Wireless Body Area Network (WBAN)
• Poonam Rani, Ankur Dumka, Rishika Yadav, Vikas Yadav
• 9. A Survey: Approaches to Facial Detection and Recognition with Machine Learning Techniques
• Prateek Singhal, Prabhat Kumar Srivastava, Arvind Kumar Tiwari, Ratnesh Kumar Shukla
• 10. An Energy and Space Efficient Trust based Secure Routing for OppIoT
• Nisha Kandhoul and Sanjay K. Dhurandher
• 11. A Survey on Anomaly Detection Techniques in IoT
• Priya Sharma, Sanjay Kumar Sharma 12. Novel IoT End Device Architecture for Enhanced CIA: A Lightweight Security Approach
• Prateek Mishra, Sanjay Kumar Yadav, Ravi Kumar Sachdeva, and Rajesh Tiwari.
• (source: Nielsen Book Data)

This book features high-quality research papers presented at Second Doctoral Symposium on Computational Intelligence (DoSCI-2021), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on 6 March 2021. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, decision support and decision making.
(source: Nielsen Book Data)

• Chapter 1. Analysis of Perceived Usability, Satisfaction and Adoption of Biometric Systems in the Public Transportation Sector of U.A.E..-
• Chapter 2. A Semisupervised Deep Learning-based Approach with Multiphase Active Contour Loss for Left Ventricle Segmentation from CMR Images.-
• Chapter 3. Survey on Energy Efficient approach for Wireless Multimedia Sensor Network.-
• Chapter 4. Effectual Accuracy of Ophthalmological Image Retinal Layer Segmentation.-
• Chapter 5. Performance Assessment of K-Nearest Neighbor Algorithm for Classification of Forest Cover Type.-
• Chapter 6. Gestational Diabetes Prediction Using Machine Learning Algorithms.-
• Chapter 7. Design and Implementation of Buffon Needle problem Using Technology for Engineering Students.-
• Chapter 8. Energy Efficient Multi-hop Cluster Routing Protocol for WSN.-
• Chapter 9. A Review of Smart Electronic Voting Machine.-
• Chapter 10. Application of Machine Learning Techniques in Intrusion Detection Systems: A Systematic Review.-
• Chapter 11. Relationship between sustainable practices and firm performance: A study of the FMCG sector in India.-
• Chapter 12. Learning Paradigms for Analysis of Bank Customer.-
• Chapter 13. Diagnosis of Dermoscopy Images for the Detection of Skin Lesions Using SVM and KNN.-
• Chapter 14. MaTop: An Evaluative Topic Model for Marathi.-
• Chapter 15. Convolutional neural network: an overview and application in image classification.
• (source: Nielsen Book Data)

The book includes a selection of the best papers presented at the Third International Conference on Sustainable Computing (SUSCOM 2021), held in Jaipur, India, during 19 - 20 March 2021. It covers topics like Internet of things (IoT); artificial system of security; smart storage and knowledge retrieval using data cloud; intelligent transport management; intelligent cognitive and bio-inspired computing and management science. The book is useful for peoples from academia, government bodies, healthcare and industry to discuss their future scope.
(source: Nielsen Book Data)

• Alleviating the Issues of Recommendation System through Deep Learning Techniques
• Communication Assistant using IoT based Device for People with Vision, Speech and Hearing Disability
• An Optimized Object Detection System For Visually Impaired People
• Sentiment Analysis of Zomato and Swiggy food delivery management system
• Text Similarity Identification based on CNN and CNN-LSTM Model
• Survey Based on Configuration of CubeSats Used for Communication Technology
• Ontology Driven Software Development for better Understanding and Maintenance of Software System
• Application of Genetic Algorithm (GA) in Medical Science: A Review
• Designing a Machine Learning Model to Predict Parkinson⁰́₉s disease from Voice Recordings
• Prediction Techniques for Maintenance of Marine Bilge Pumps onboard ships.

This book gathers high-quality papers presented at the Second International Conference on Sustainable Technologies for Computational Intelligence (ICTSCI 2021) held at Graphic Era University, Dehradun, India, during May 22-23, 2021. It covers emerging topics in computational intelligence and effective strategies for its implementation in engineering applications.

• Award.- Quantized Separable Residual Network for Facial Expression Recognition on FPGA.- Hole-peg Assembly Strategy Based On Deep Reinforcement Learning.- EEG-based Emotion Recognition Using Convolutional Neural Network with Functional Connections.- Fast barcode detection method based on ThinYOLOv4.- The Realtime Indoor Localization for Unmanned Aerial Vehicle.- Algorithm.- L1-norm and Trace Lasso based Locality Correlation Projection.- Episodic Training for Domain Generalization Using Latent Domains.- A Novel Attitude Estimation Algorithm Based on EKF-LSTM Fusion Model.- METAHACI: Meta-learning for Human Activity Classification from IMU Data.- Fusing Knowledge and Experience with Graph Convolutional Network for Cross-task Learning in Visual Cognitive Development.- Factored Trace Lasso based Linear Regression Methods: Optimizations and Applications.- Path Planning and Simulation Based on Cumulative Error Estimation.- MIMF: Mutual Information-driven Multimodal Fusion.- Application.- Spatial Information Extraction of Panax Notoginseng Fields Using Multi-algorithm and Multi-sample Strategy-based Remote Sensing Techniques.- Application of Convolution BLS in AI Face-changing Problem.- Cognitive Calculation Studied for Smart System to Lead Water Resources Management.- A Robotic Arm Aided Writing Learning Companion for Children.- Design and Implement of Omnidirectional Mobile Robot Platform with Remote Visual Control.- AG-DPSO: Landing Position Planning Method for Multi-node Deep Space Explorer.- A New Paralleled Semi-supervised Deep Learning for Remaining Useful Life Prediction.- Balancing Task Allocation in Multi-robot Systems using AdpK-means Clustering Algorithm.- Reinforcement Learning for Extreme Multi-label Text Classification.- Manipulation.- Multimodal Object Analysis with Auditory and Tactile Sensing using Recurrent Neural Networks.- A Novel Pose Estimation Method of Object in Robotic Manipulation using Vision-based Tactile Sensor.- Design and Implementation of pneumatic soft gripper with suction and grasp composite structure.- Movement Primitive Libraries Learning for Industrial Manipulation Tasks.- Guided Deep Reinforcement Learning for Path Planning of Robotic Manipulators.- Large-scale multi-agent reinforcement learning based on weighted mean field.- Selective Transition Collection in Experience Replay.- Design and Grasping Experiments of Soft Humanoid Hand with Variable Stiffness.- Bioinformatics.- Prediction the age of human brains from gene expression.- Deep LSTM Transfer Learning for Personalized ECG Anomaly Detection on Wearable Devices.- Reflection on AI: The cognitive difference between libraries and scientists.- A Review of Research on Brain-Computer Interface Based on Imagined Speech.- A Survey of Multimodal Human-Machine Interface.- A Logistic Regression Based Framework for Spatio-temporal Feature Representation and Classification of Single-trial EEG.- Biometric Traits Share Patterns.- Cervical Cell Detection Benchmark with Effective Feature Representation.- Vision A.- Image Fusion for Improving Thermal Human Face Image Recognition.- Automatic Leaf Recognition Based on Attention DenseNet.- Semantic Segmentation for Evaluation of Defects on Smartphone Screens.- Image Clipping Strategy of Object Detection for Super Resolution Image in Low Resource Environment.- Image Quality Assessment with Local Contrast Estimator.- Application of Broad learning system for image classification based on deep features.- Emotion Recognition Based on Graph Neural Networks.- A Light-Weight Stereo Matching Network with Color Guidance Refinement.- Vision B.- Overview of Monocular Depth Estimation Based on Deep Learning.- Non-contact physiological parameters detection based on MTCNN and EVM.- Texture Classification of a Miniature Whisker Sensor with Varied Contact Pose.- Semantic-based Road Segmentation for High-Definition Map Construction.- Transformer Region Proposal for Object Detection.- A Feature Fusion based Object Tracking Algorithm.- Detection and Reconstruction of Transparent Objects with Infrared Projection-based RGB-D Cameras.- Autonomous Vehicles.- A Simulation-to-Real Autonomous Driving System Based on End-to-End Learning.- Underwater SLAM Based On Forward-Looking Sonar.- Robust Visual Odometry Using Semantic Information in Complex Dynamic Scenes.- A Multi-Sensor Data Fusion Method based on Improved XGBoost Model for AGV Localization.- Multi UAV Target Tracking based on the Vision and Communication Information.- An Accurate Positioning Method for Robotic Manipulation Based on Vision and Tactile Sensors.
• (source: Nielsen Book Data)

This book constitutes the refereed post-conference proceedings of the 5th International Conference on Cognitive Systems and Signal Processing, ICCSIP 2020, held in Zhuhai, China, in December 2020. The 59 revised papers presented were carefully reviewed and selected from 120 submissions. The papers are organized in topical sections on algorithm; application; manipulation; bioinformatics; vision; and autonomous vehicles.
(source: Nielsen Book Data)

• Part I: Evolutionary Computation Theory and Applications.- Niching-based Feature Selection with Multi-Tree Genetic Programming for Dynamic Flexible Job Shop Scheduling.- Building Market Timing Strategies using Trend Representative Testing and Computational Intelligence Metaheuristics.- Hybrid Strategy Coupling EGO and CMA-ES for Structural Topology Optimization in Statics and Crashworthiness.- An Empirical Study on Insertion and Deletion Mutation in Cartesian Genetic Programming.- Handling Complexity in Some Typical Problems of Distributed Systems by using Self-organizing Principles.- Part II: Fuzzy Computation Theory and Applications.- Markov Decision Processes with Fuzzy Risk-sensitive Rewards: The Best Coherent Risk Measures under Risk Averse Utilities.- Correlation Analysis via Intuitionistic Fuzzy Modal and Aggregation Operators.- Fuzzy Geometric Approach to Collision Estimation under Gaussian Noise in Human-robot Interaction.- Predicting Cardiovascular Death with Automatically Designed Fuzzy Logic Rule-based Models.- Part III: Neural Computation Theory and Applications.- Neural Models to Quantify the Determinants of Truck Fuel Consumption.- Towards a Class-aware Information Granulation for Graph Embedding and Classification.- Near Optimal Solving of the (N2-1)-Puzzle using Heuristics based on Artificial Neural Networks.- Deep Convolutional Neural Network Processing of Images for Obstacle Avoidance.- CVaR Q-learning.- Rule Extraction from Neural Networks and Other Classifiers Applied to XSS Detection.- Introduction to Sequential Heteroscedastic Probabilistic Neural Networks.
• (source: Nielsen Book Data)

This present book includes a set of selected revised and extended versions of the best papers presented at the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - held in Vienna, Austria, from 17 to 19 September 2019. The authors focus on three outstanding fields of Computational Intelligence through the selected panel, namely Evolutionary Computation, Fuzzy Computation and Neural Computation. Besides presenting the recent advances of the selected areas, the book aims to aggregate new and innovative solutions for confirmed researchers and, on the other hand, to provide a source of information and/or inspiration for young interested researchers or learners in the ever-expanding and current filed of Computational Intelligence. It constitutes a precious provision of knowledge for individual researchers as well as represents a valuable sustenance for collective use in academic libraries (of universities and engineering schools) relating innovative techniques in various fields of applications.
(source: Nielsen Book Data)

• Computational Forensic (Privacy and Security).- Quantified Analysis of Security Issues and its Mitigation in Blockchain using Game Theory.- Color Image Compressed Sensing using Modified Stagewise Orthogonal Matching Pursuit.- Duplicate Frame Detection in Forged Videos using Sequence Matching.- LISA - An Instrumental separation system based on lead instrument.- An Image Encryption method using Chaos and DNA Encoding.- Efficient Quantum Implementation of Majority-based Full Adder circuit using Clifford+T-group.- Recurrent Neural Network and Metaheuristics Search: A New Approach for Encryption Key Generation in Cryptographic Engineering.- Computational Intelligence.- Modeling and prediction of COVID-19 in India using machine learning.- Exploring Hand-crafted Features and Transfer Learning for Polyp Segmentation.- A Survey on Feature Extraction Methods For Handwriting Biometric.- A Novel Equilibrium Optimization Technique for band selection of hyperspectral images.- A Fuzzy Logic Approach to Evaluate Discomfort of Body Parts among Female Sal Leaf Plate Makers in India.- Towards a Smart Indoor Parking System.- Multispectral Object Detection with Deep Learning.- Pythagorean Fuzzy C-means Clustering Algorithm.- Data Science and Advanced Data Analytics.- Application of a New Hybrid MCDM Technique Combining Grey Relational Analysis with AHP-TOPSIS in Ranking of Stocks in the Indian IT Sector.- Utility Function-based Active Multi-stakeholder Personalized Recommendation System.- Stock Price Prediction Using CABC Trained Neural Network.- Exploring Knowledge Distillation of a Deep Neural Network for Multi-Script Identification.- A Machine Learning Base Fertilizer Recommendation System for Paddy and Wheat in West Bengal.- Gauging Stress and its effect during COVID among Indian Engineering Students.- Intelligent Data Mining and Data Warehousing.- Deep CNN based Automatic Detection and Identification of Bengal Tigers.- A Convolutional Neural Network Model for Automatic Detection of Plant Diseases.- Gene Expression-based Prediction of Lung Cancer Associated Protein-Protein Interactions.- Knowledge Discovery of Sundarban Mangrove Species: A Way Forward for Managing Species Biodiversity.- Valve Care: A Fuzzy Based Intelligent Model for Predicting Heart Diseases using Arduino Based IoT Infrastructure.- Abstractive Text Summarization Approaches with Analysis of Evaluation Techniques.- Classification of Colorectal Cancer Histology Images using Image Reconstruction and Modified DenseNet.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the Third International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2021, held in Santiniketan, India, in January 2021.The 12 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 84 submissions. The papers are organized in topical sections on computational forensic (privacy and security); computational intelligence; data science and advanced data analytics; and intelligent data mining and data warehousing.
(source: Nielsen Book Data)

• Innovation Development and R&D Project Management in Science Organizations and Universities: Data-Driven Model and Analysis.- Knowledge-Based Practices in Disaster Management: Development Towards Digital Humanism.- Destructive Digital Ecosystem of Cyber Bullying Perfective within the Information Technology Age.- A Mobile Application for Mental Health Care during COVID-19 Pandemic: Development and Usability Evaluation with System Usability Scale.- Navigation for the Vision Impaired with Spatial Audio and Ultrasonic Obstacle Sensors.- Smart Navigation Aids for Blind and Vision Impairment People.- Blockchain for the Authentication and Immutability of Academic Credentials Issued in Brunei Darussalam.- Privacy Policy, Training and Adaption of Employee Monitoring Technology to Curtail Workplace Harassment in Organizations: An Application of TAM.- A Comparative Study of Supervised Machine Learning Techniques for Deceptive Review Identification using Linguistic Inquiry and Word Count.- A Robust Ensemble Method for Classification in Imbalanced Datasets in Presence the of Noise.
• (source: Nielsen Book Data)

This book constitutes the Proceeding of the Computational Intelligence in Information Systems conference (CIIS 2020), held in Brunei, January 25-27, 2021. The CIIS conference provides a platform for researchers to exchange the latest ideas and to present new research advances in general areas related to computational intelligence and its applications. The 23 revised papers presented in this book have been carefully selected from 55 submissions. .
(source: Nielsen Book Data)

• A Method for Selecting Suitable Records based on Fuzzy Conformance and Aggregation Functions.- Reconciling Adapted Psychological Profiling with the New European Data Protection Legislation.- Concordance in FAST-GDM Problems: Comparing Theoretical Indices with Perceived Levels.- Artificial Intelligence Algorithms Selection and Tuning for Anomaly Detection.- AI Turning Points and the Road Ahead.- Efficient Approximation of a Recursive Growing Neural Gas.- Using Convolutional Neural Networks and Recurrent Neural Network for Human Gesture Recognition and Problem Solving.
• (source: Nielsen Book Data)

This present book includes a set of selected revised and extended versions of the best papers presented at the 10th International Joint Conference on Computational Intelligence (IJCCI 2018), held in Seville, Spain, from 18 to 20 September 2018, which covers four thriving fields in Computational Intelligence: Evolutionary Computation, Fuzzy Computation, Neural Computation, and Cognitive and Hybrid Systems. Besides presenting the recent advances in these areas, the book aims, on the one hand, to aggregate new and innovative solutions for confirmed researchers and, on the other hand, to provide a source of information and/or inspiration for young researchers or learners interested in the ever-increasing and current field of Computational Intelligence. This book constitutes a precious provision of knowledge for individual researchers as well as representing a valuable sustenance for collective use in academic libraries (of universities and engineering schools) relating innovative techniques in various fields of applications.
(source: Nielsen Book Data)

• DEBM: Differential Evolution-Based Block Matching Algorithm
• Multi-modality of Occupants' Actions for Multi-Objective Building Energy Management
• A Novel Self-adaptive Salp Swarm Algorithm for Dynamic Optimization Problems
• Digital ID Generation and Management Framework Using Blockchain
• HFAIR: Hello Devoid Optimized Version of FAIR Protocol for Mobile Ad hoc Networks
• Performance Evaluation of Language Identification on Emotional Speech Corpus of Three Indian Languages
• Disaster Severity Prediction from Twitter Images
• A Study on Energy-Efficient Communication in VANETs Using Cellular IoT
• Recognition of Transforming Behavior of Human Emotions from Face Video Sequence: A Triangulation-Induced Circumradius-Incenter-Circumcenter Combined Approach
• A Study on Radio Labelling of Evolving Trees for Path Pn
• Secure Blockchain Smart Contracts for Efficient Logistics System
• COVID-19 Outbreak Prediction Using Quantum Neural Networks.

This book gathers extended versions of papers presented at DoSIER 2020 (the Second Doctoral Symposium on Intelligence Enabled Research, held at Visva-Bharati University, Santiniketan, West Bengal, India, during 12-13 August 2020). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.
(source: Nielsen Book Data)

• Part I. Sustainable Clean Energy System
• Adaptive Neuro-Fuzzy Inference Based Modeling of Wind Energy Harvesting System for Remote Areas
• Features of Distributed Energy Integration in Agriculture
• Concept of Multi-contact Switching System
• The Design of Optimum Modes of Grain Drying in Microwave-Convective Effect
• Isolated Agroecosystems as a Way to Solve the Problems of Feed, Ecology and Energy Supply of Livestock Farming
• Laboratory-Scale Implementation of Ethereum Based Decentralized Application for Solar Energy Trading
• Solar Module with Photoreceiver Combined with Concentrator
• Modeling of Bilateral Photoreceiver of the Concentrator Photovoltaic Thermal Module
• Formation of Surface of the Paraboloid Type Concentrator of Solar Radiation by the Method of Orthogonal Parquetting
• (Plus 105 other papers).

Third edition of International Conference on Intelligent Computing and Optimization and as a premium fruit, this book, pursue to gather research leaders, experts and scientists on Intelligent Computing and Optimization to share knowledge, experience and current research achievements. Conference and book provide a unique opportunity for the global community to interact and share novel research results, explorations and innovations among colleagues and friends. This book is published by SPRINGER, Advances in Intelligent Systems and Computing. Ca. 100 authors submitted full papers to ICO'2020. That global representation demonstrates the growing interest of the research community here. The book covers innovative and creative research on sustainability, smart cities, meta-heuristics optimization, cyber-security, block chain, big data analytics, IoTs, renewable energy, artificial intelligence, Industry 4.0, modeling and simulation. We editors thank all authors and reviewers for their important service. Best high-quality papers have been selected by the International PC for our premium series with SPRINGER. .
(source: Nielsen Book Data)

• Autonomous Obstacle Avoidance Robot Using Regression
• ABC-BSRF: Artificial Bee Colony and Borderline-SMOTE RF Algorithm for Intrusion Detection System on Data Imbalanced Problem
• A Novel Two-Layer Feature Selection for Emotion Recognition with Body Movements
• Nearest Neighbors via a Hybrid Approach in Large Datasets: A Speed up
• Impact of Hyperparameters on Model Development in Deep Learning
• Strategies to Effectively Integrate Visualization with Active Learning in Computer Science Class
• Supervised Learning-Based Classifiers in Healthcare Decision-Making
• Gridding and Supervised Segmentation Method for DNA Microarray Images
• Predicting Breast Cancer Using Machine Learning
• Gender Identification Over Voice Sample Using Machine Learning
• (Plus 29 other papers).

This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2020). It covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence and speech processing.
(source: Nielsen Book Data)

• Fully Blind Data Hiding by Embedding within DNA Sequences Using Various Ciphering and Generic Complimentary Base Substitution.- A Real-Time Health Monitoring System with Wearables and Ensemble Learning.- Statistical Texture Features Based Automatic Detection and Classification of Diabetic Retinopathy.- Time restricted balanced truncation for Index-I Descriptor Systems with Non-Homogeneous Initial Condition.- Alcoholism Detection from 2D Transformed EEG Signal.- An Intelligent Bangla Conversational Agent: TUNI.- An Approach towards Data Change Rule Based Classification of Driving Maneuver with LSTM Network.- Detection System for Wireless Networks using Deep Learning.- A Genetic Algorithm Based Optimal Train Route Selection Model.- Fuzzy Rule-based KNN for Rainfall Prediction: A case Study in Bangladesh.- Handwritten Indic Digit Recognition using Deep Hybrid Capsule Network.
• (source: Nielsen Book Data)

This book gathers outstanding research papers presented at the International Joint Conference on Advances in Computational Intelligence (IJCACI 2020), organized by Daffodil International University (DIU) and Jahangirnagar University (JU) in Bangladesh and South Asian University (SAU) in India. These proceedings present novel contributions in the areas of computational intelligence and offer valuable reference material for advanced research. The topics covered include collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.
(source: Nielsen Book Data)

• Onto-Semantic Indian Tourism Information Retrieval System
• An Efficient Link Prediction Model Using Supervised Machine Learning
• Optimizing Cost and Maximizing Profit for Multi-Cloud-Based Big Data Computing by Deadline-Aware Optimize Resource Allocation
• A Comprehensive Survey on Passive Video Forgery Detection Techniques
• DDOS Detection Using Machine Learning Technique
• Enhancements in Performance of Reduced Order Modelling of Large-Scale Control Systems
• Solution to Unit Commitment Problem: Modified hGADE Algorithm
• In Silico Modeling and Screening Studies of PfRAMA Protein: Implications in Malaria
• IBRP: An Infrastructure-Based Routing Protocol Using Static Clusters in Urban VANETs.

This book gathers the latest quality research work of Ph.D. students working on the current areas presented in the Doctoral Symposium on Computational Intelligence (DoSCI 2020). The book includes works in the areas of artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, decision support and decision making. The book is useful for researchers, students, engineers, practitioners and academicians in their advance studies.
(source: Nielsen Book Data)

This book gathers high-quality papers presented at the First International Conference on Sustainable Technologies for Computational Intelligence (ICTSCI 2019), which was organized by Sri Balaji College of Engineering and Technology, Jaipur, Rajasthan, India, on March 29-30, 2019. It covers emerging topics in computational intelligence and effective strategies for its implementation in engineering applications.