Abstract: 1. Design and Development of a Low Cost Multi-functional Wheel Chair with Patient Monitoring and Obstacle Detection -- 2. OpenAI ChatGPT and the Accelerated Spread of Biased Information -- 3. Towards new challenges of modern Pentest -- 4. Relationship of IT Governance Domain with A Case Study of the Application of “One Price Fuel in Indonesia” by National Oil Company -- 5. Design and Implementation of IoT System with Intelligent Solar Charger Controller -- 6. Challenges in Building Smart and Sustainable Hybrid Microsystems with Renewable Sources for Powering Individual Residences -- 7. Effective Resource Provisioning Scheme for Kubernetes Infrastructure -- 8. Confirming Secure Interoperability in Mobile Financial Services: Challenges of Data Federation and Cryptography based Solution -- 9. Implementation of Applied Artificial Intelligence for Urban Transportation Management -- 10. The Value of Proactive Data for Intelligent Contracts.

Abstract: This book provides insights of World Conference on Smart Trends in Systems, Security, and Sustainability (WS4 2023) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.

Abstract: Implementation of Digital Down Conversion Technique Using FPGA for Atmospheric RADAR Application -- Predictive Data Analysis to Support Decision-making based on Long-term Impacts of Disasters -- Generative Adversarial Networks: Challenges, Solutions, and Evaluation Metrics -- Improving Accuracy and Robustness in Depression Detection with Ensemble Learning and Optimization Techniques -- Spatial-Spectral Features based Dimensionality Reduction Technique for Robust Multivariate Image Classification Improving Breast Cancer Prognosis with DL-based Image Classification -- A Lightweight Encryption Method for Preserving E-Health Care Data Privacy Using Dual Signature on Twisted Edwards Curves -- Intrusion Classification and Detection System using Machine Learning Models on NSL-KDD Dataset -- A comprehensive review of the Application of Green House Using the Internet of Things -- Controlling Power Point Slide Presentations Through Hand Gestures -- Design of Multiband GaN HEMT power amplifier for Radar applications -- SqueezeNet based Model for Subject Identification from Off-Angle Iris Image -- Brain Tumor Detection and Segmentation using Deep Learning Models with Dual Attention Mechanism -- Exploring Machine Learning Algorithms for Accurate Breast Cancer Classification: A Comparative Analysis using F2 Metric -- Optimizing Gene Expression analysis using Clustering Algorithms -- Prevention and Mitigation of Intrusion using an efficient ensemble classification in Fog computing -- Fake News Detector using Machine Learning -- Electric vehicle energy management system using fuzzy logic controller -- Optimized Fall Detection Algorithm with Adaptive Sum Vector Magnitude and Axis-Weighted Features from Wearable Accelerometer Data -- Deep Learning Based Real-Time Face Mask Detection for Human using Novel YOLOv2 with Higher Accuracy -- Smart University Application: Internet of Things(IoT) Based Smart and Random Method to Collect Waste Management System in a University Campus By Using Ant Colony Optimization(ACO) Algorithm -- Tomato leaf Disease Detection and Classification by using Novel CNN model.

Abstract: This book is a compilation of high-quality scientific papers presented at the 5th International Conference on Computer & Communication Technologies (IC3T 2023). The book covers cutting-edge technologies and applications of soft computing, artificial intelligence and communication. In addition, a variety of further topics are discussed, which include data mining, machine intelligence, fuzzy computing, sensor networks, signal and image processing, human–computer interaction, and web intelligence.

Abstract: Chapter 1:Knowledge management model focused on organizational sustainable development -- Chapter 2:Control of temperature and relative humidity in greenhouse by humidification system using fuzzy logic in LabVIEW -- Chapter 3:An Intelligent Meter with Smart Home Ability for Intelligent Energy Management -- Chapter 4:Enhancing Workplace Safety through Collaborative Technologies: A Case Study in the Manufacturing Industry -- Chapter 5:Lessons from the Past a Historical Literature Review on Cyber Resilience -- Chapter 6:Strategy to Identify Knowledge Management Solutions for Startup Companies -- Chapter 7:Development of a Smart Pole System Utilizing Arduino Technology and the Internet of Things -- Chapter 8:Preparing Future Leaders: Communication Skills and Leadership Development for E-Government & ICT Reforms -- Chapter 9:Six Sigma DMAIC to Improve the Quality of Food Service: KAU Case Study -- Chapter 10:Effects of Humour in Social Robots onChildren’s Learning -- Chapter 11:Digital Twin and Metaverse supporting Smart Cities new perspectives and potentials -- Chapter 12:AgriChain: Blockchain-enabled Food Traceability -- Chapter 13:Aid Nexus : A Blockchain Based Financial Distribution System -- Chapter 14:Artificial intelligence in countering disinformation and enemy propaganda in the context of Russia’s armed aggression against Ukraine -- Chapter 15:A Reinforcement Learning Model of a Dynamic Solar Panel System for Maximum Energy Harvesting -- Chapter 16:ERP Integration: Enhancing Collaboration in Virtual and Extended Enterprises -- Chapter 17:Exploring the Factors Influencing a Firm's Intent to Adopt Quantum Computing Resources -- Chapter 18:Analysis of data on the audiovisual narrative of the YouTuber Ariana Bolo Arce during 2021 -- Chapter 19:The impact of advertising on video games -- Chapter 20:Internal Communication in the Scopus database: Systematic literature review 2019 - 2023 -- Chapter 21:Cost management model in the subway and open pit mines: A systematic review -- Chapter 22:Advergame: A case study on young people in Lima, Peru -- Chapter 23:Literature-based Practices for Designing Female-inclusive Software Engineering and Computer Science Programs -- Chapter 24:External Communication: A Systematic Literature Re-view 2019 – 2023 -- Chapter 25: Anomaly Detection Across Multi Scale Temporal Data Streams for Human Behavior Modeling -- Chapter 26:Aggregated Framework for Surveillance camera collaboration -- Chapter 27:A Novel Secure Approach for Enhancing Accuracy of Pest Detection with Private Federated Learning using DPSGD -- Chapter 28:Assessment of Home Specific Network Security Training to Prevent Work From Home Culture -- Chapter 29:Parkezy –A Generic Streamlined Intellectual Parking System using ALPR/RFID -- Chapter 30:Improved Intelligent Malware Detection Model in Cloud Environment -- Chapter 31:SMOTE BASED HEART DISEASE DETECTION UTILIZING AI & ML STACKING CLASSIFIER -- Chapter 32:Multi-class Classification of Lung Cancer Detection Using Deep Learning Model. .

Abstract: This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2023) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in four volumes. The book is helpful for active researchers and practitioners in the field.

Abstract: Review of Probability Theory -- Random Variables -- Random Signals (autocorrelation, power spectral density) -- Response of Linear Systems to Random Inputs (continuous, discrete) -- Estimation and Estimator Properties (small sample and large sample properties of estimators, CRLB) -- Least Square Estimation Likelihood (likelihood function, detection) -- Maximum Likelihood Estimation -- Minimum Mean-Square Error Estimation (Kalman Filter, information filter, filter stability) -- Generalizing the Basic Kalman Filter (colored noise, correlated noise, reduced-order estimator, Schmidt Kalman filter sequential computation) -- Prediction and Smoothing -- Nonlinear Filtering (Extended Kalman filter, unscented Kalman filter, ensemble Kalman filter, particle filter) -- The Expectation Maximization Algorithm -- Markov Models.

Abstract: This book provides first-year graduate engineering students and practicing engineers with a solid introduction to random signals and estimation. It includes a statistical background that is often omitted in other textbooks but is essential for a clear understanding of estimators and their properties. The book emphasizes applicability rather than mathematical theory. It includes many examples and exercises to demonstrate and learn the theory that makes extensive use of MATLAB and its toolboxes. Although there are several excellent books on random signals and Kalman filtering, this book fulfills the need for a book that is suitable for a single-semester course that covers both random signals and Kalman filters and is used for a two-semester course for students that need remedial background. For students interested in more advanced studies in the area, the book provides a bridge between typical undergraduate engineering education and more advanced graduate-level courses.

Abstract: Chapter 1. A personalized ramp merging decision-making method for autonomous driving based on reverse reinforcement learning -- Chapter 2. An adaptive cruise hybrid control method for unmanned driving -- Chapter 3. Dynamic Quantitative Analysis for Large Scale Skid-steered UGV -- Chapter 4. An Optimization-based Path Planning Method for Unmanned Systems in Multi-obstacle Environments -- Chapter 5. An adaptability-based terrain costmap for heterogeneous vehicle swarm path planning -- Chapter 6. Attention encoder-decoder network based autonomous risk driving identification for connected heavy-duty vehicles -- Chapter 7. Loosely-coupled Camera-IMU-OGS fusion Localization -- Chapter 8. Multi-sensing pedestrian detection method based on an improved EPNet -- Chapter 9. Abrupt Lane Change Recognition Model Towards Autonomous Vehicle based on Lane Line Inclination -- Chapter 10. Path-oriented Green Wave Speed Control Model Towards Autonomous Vehicle, etc.

Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.

Abstract: This book gathers selected high-quality research papers presented at International Conference on Advanced Computing and Intelligent Technologies (ICACIT 2023), which is organized by Indira Gandhi National Tribal University, Regional Campus Manipur (IGNTU-RCM), during December 8–9, 2023. It discusses emerging topics pertaining to advanced computing, intelligent technologies and networks including AI and machine learning, data mining, big data analytics, high-performance computing network performance analysis, Internet of things networks, wireless sensor networks, and others. The book offers an asset for researchers from both academia and industries involved in advanced studies.

Abstract: Chapter 1: Sentiment Classification on Suicide Notes Using Bi-LSTM Model -- Chapter 2: Machine Learning based Blind Image Quality Assessment: A Review -- Chapter 3: Analysis Of Block Chain Technology Iot And Rpa In Supply Chain Management -- Chapter 4: Sentiment hotspots extraction in large text documents using neutrosophic sets -- Chapter 5: Peak Hour Demand Prediction for Sharing Bikes: A Comparative Analysis of Performances of Machine Learning Models -- Chapter 6: Prediction Based Analysis of Die-sel Prices using Naïve Bayes Classifier Model -- Chapter 7: Abnormality detection in smart-phone captured chest radiograph using multi-pretrained models -- Chapter 8: Offensive Tweets Detection In Hinglish Using HingBERT -- Chapter 9: Unlocking the Potential of Mobile Computing for Infusing Computational Thinking Using Social Cognitive Approach in Higher Education Institutes -- Chapter 10: Deep Learning Applications in Thermal IR Image Processing. etc.

Abstract: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.

Abstract: Compensation Effect in the Collisional Turbulent Plasma -- Role of pre-processing in gene selection using DNA microarray gene expression data -- Determination of Suitable Frequency for Underground Electromagnetic wave propagation -- A Comparative Study on Speech Emotion Recognition using Machine Learning -- Early Prediction of Urban Flood Using ML and IoT -- Development of Low power and Area Efficient Multi-Core Memory Controller Using AXI4-Lite Interface Protocol -- Improved Analog Costas Loop with Fuzzy Logic Controller -- Authentication Framework for an IoT Ecosystem -- Design and Analysis of 28 GHz Microstrip Patch Antenna for 5G Network -- Upper bounds of worldwide infected cases due to COVID-19 from the perspective of bitopology -- Prediction Model for Precision Agriculture using Machine Learning -- Analysis and Implementation of Resonative Tuning Fork Sensor in Ash Hopper for Economical Ash Air Compressor Operation with Integrated IoT System -- Challenges and Approaches in Arabic Sentiment Analysis: A Review -- Performance Based Comparative Analysis Of Naive Bayes Variations For Text Classification -- Coreference Resolution in the Assamese Language: A Pioneering Attempt -- Application for Simulating OWASP Vulnerabilities -- A Comparative Study of Disease Detection in Potato Plants Using Machine Learning and Deep Learning Method -- An Enhancement in Accuracy for Breast Cancer Prediction Using Machine Learning And Deep Learning Model -- Fractal Features For Texture Analysıs.

Abstract: The book presents selected papers from the International Conference on Data Science and Communication (ICTDsC 2023) organized by the Department of Electronics and Communication Engineering and Department of Engineering Science and Humanities (DESH) Siliguri Institute of Technology, India during 23 – 24 March 2023 in Siliguri, India. The book covers state-of-the-art research insights on artificial intelligence, machine learning, big data, data analytics, cyber security and forensic, network and mobile security, advanced computing, cloud computing, quantum computing, electronics system, Internet of Things, robotics and automations, blockchain and software technology, and digital technologies for future.

Abstract: Square shaped SIW based slotted MIMO antenna -- Food Recognition and Calorie Measurement Using Machine Learning -- Breast Cancer Prediction with Gradient Boost and XG Boost -- Data Cube Technology for Accessing of Large Database -- Handwritten Character Recognition for South Indian Languages using Deep Learning -- CavFind: A Novel Algorithm to Detect Cavities on Protein Structure -- Tire Imprint identification and classification using VGG19 -- Uncovering insights in Agroforestry: A Text Mining Analysis Using Web Scraping and Topic Modeling -- Generative Adversarial Networks- A comprehensive Review -- System Modification Process to reduce calculation complexity in Backward Forward sweep Algorithm -- Exploit Reversible Gates to Implement Fast Quantum Sorting Algorithm -- Analyzing the Performance Variations of Naive Bayes, Linear SVM, and Random Forest for Spam Detection: A Comprehensive Study on the "Spam or Ham" Dataset -- A Novel Encryption Framework to Improve the Security of Medical Images -- Enhancing DDoS Attack Detection in SDN: A Novel Approach with IG-RFFI Feature Selection -- A novel fusion study on disease detection in cotton plants using embedded approaches of neural networks -- A security framework for the Detection of targeted attacks using honeypot -- SNMP Watcher: A Model to Detect DoS and DDoS Attacks using SNMP Management Information Base Analysis -- Comparative Analysis for Loan Approval Prediction System using Machine Learning Algorithms -- Classification of credit card delinquent customers using random forest algorithm -- Evaluating E-learning Engagement through EEG Signal Analysis with Convolutional Neural Networks -- Food Item Recognition and Calories Estimation Using YOLO-V5 -- Fuzzy Cognitive Security Techniques for Data Aggregation in Capillary Networks.

Abstract: This book is a compilation of high-quality scientific papers presented at the 5th International Conference on Computer & Communication Technologies (IC3T 2023). The book covers cutting-edge technologies and applications of soft computing, artificial intelligence and communication. In addition, a variety of further topics are discussed, which include data mining, machine intelligence, fuzzy computing, sensor networks, signal and image processing, human–computer interaction, and web intelligence.

Abstract: Chapter 1. Cooperative Transmit Resource Scheduling Algorithm for Asynchronous Tracking in Heterogeneous Multiple Distributed Radar Networks with Imperfect Detection -- Chapter 2. Joint Detection Threshold and Dwell Time Optimization for Target Tracking in Radar Networks -- Chapter 3. An Accurate and Robust Effectiveness Evaluation Method for an Unmanned Swarm in Performing a Specific Task -- Chapter 4. Multi-UAV collaborative search strategy based on improved genetic algorithm -- Chapter 5. Joint Beamforming and Power Allocation in a MIMO Radar Network with Per-Antenna Power Control -- Chapter 6. Intelligent Trajectory Planning Algorithm for Unmanned Aerial Vehicles Based on Track Deception against Radar Networks -- Chapter 7. Maneuvering Multi-Target Tracking based on DLSTM and Dynamic Association Gate -- Chapter 8. A DNN-Based GLMB Algorithm for Multi-Sensor Multi-Target Tracking with Dense Group Clutter -- Chapter 9. Efficient Multiple Extended Target Tracking Based on MinimumSpanning Tree -- Chapter 10. Improved Adaptive Sliding Mode Cooperative Guidance Law with Multi-constraints, etc.

Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.

Abstract: Chapter 1. Collision-Free UAV Flocking System with Leader-guided Cucker-Smale Reward Based on Reinforcement Learning -- Chapter 2. A Task Allocation Algorithm of Loitering Munition Group for Regional Blockade based on Event-driven -- Chapter 3. Research on the Dilemma and Strategy of Training Applied Talents in UAV Specialty -- Chapter 4. Design and Implementation of Terrain following Algorithm for Cruise Missile -- Chapter 5. Task Assignment Algorithm for Unmanned Systems Based on Step Clustering Ant Colony -- Chapter 6. A Neural Network-Based Adaptive Dynamic Surface Control for Nonlinear Systems in Strict-Feedback Form with Input Constraints -- Chapter 7. TAMPI: A Time-Aware Multi-Perspective Interaction Framework for Temporal Knowledge Graph Completion -- Chapter 8. Lightweight Multimodal Fusion for Autonomous Navigation via Deep Reinforcement Learning -- Chapter 9. A Scalable Multi-Agent Reinforcement Learning Approach Based on Value function Decomposition -- Chapter 10. A GeneralizableAutonomous Maneuvering Decision-Making Method for UCAV Air Combat Combining PER-D3QN and Zero-Sum Markov Game, etc.

Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.

Abstract: Generation of histopathological images caption using CNN and LSTM -- Veg-Net: A Novel Method for Early Disease Diagnosis in Multi Fruits and Vegetables -- Modernizing the Car Registration Process in India: Implementing Blockchain Technology for Increased Transparency, Efficiency, and Security -- A Robust Approach for Categorizing and Fine-Grain Classification of Indian Ethnic Wear -- Synthetic Ancient Tamil Character Generation Using GAN -- Automatic Text Summarization: Methods, Metrics and Datasets -- Analysis of Stock Market Prediction for Future Trend using Machine Learning -- Deep Learning Model for Indian Fake Currency Detection -- A Two-Level Hybrid CNN Model for IoT Networks Attack Identification -- Wildfire Smoke Detection using Faster RCNN -- Sentiment Analysis for Cross-Lingual Kannada English Language Pair -- Clustered based Approach for Energy-Efficient Routing in Wireless Sensor Networks -- Emerging Trends In Deep Learning Models For Plant Disease Detection: A Review -- Motion FeatureAggregation for Video Object Detection using YOLO approaches -- Evaluating Different Image Segmentation Techniques for Improved Otoscope Image Diagnosis -- SIFT based Prickly Plant Identification System for Visually Impaired People -- A Review on Breast Cancer Detection for Digital Mammograms.

Abstract: This book presents the best-selected research papers presented at the Second International Conference on Computing, Communication, Security & Intelligent Systems (IC3SIS 2023), organized by SCMS School of Engineering and Technology, Kochi, on July 06–07, 2023. It discusses the latest technologies in communication and intelligent systems, covering various areas of computing, such as advanced computing, communication and networking, intelligent systems and analytics, 5G and IoT, soft computing, and cybersecurity in general. Featuring work by leading researchers and technocrats, the book serves as a valuable reference resource for young researchers, academics, and industry practitioners.

Abstract: Chapter 1: Diagnosis of Parkinson disease using Ensemble methods for Class Imbalance Problem -- Chapter 2: A Comparative Analysis of Pneumonia Detection Using Chest X-Rays With DNN -- Chapter 3: Machine Learning Based Binary Sentiment Classification of Movie Reviews in Hindi (Devanagari Script) -- Chapter 4: Deep Learning-Based Recommendation Systems: Review and Critical Analysis -- Chapter 5: Retention in Second Year Computing Students in a London-Based University During The Post-Covid-19 Era Using Learned Optimism as a Lens: A Statistical Analysis in R -- Chapter 6: Alzheimer’s Disease Knowledge Graph Based on Ontology and Neo4j Graph Database -- Chapter 7: Forecasting Bitcoin Prices in the Context of the COVID19 Pandemic Using Machine Learning Approaches -- Chapter 8: Online Food Delivery Customer Churn Prediction: A Quantitative Analysis on the Performance of Machine Learning Classifiers -- Chapter 9: Prevention Equipment for COVID-19 Spread Using IoT and Multimedia-Based Solutions -- Chapter 10: Renal Disease Classification using Image Processing. etc.

Abstract: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.

Abstract: Closed-loop Control of Modified Switched Inductor Boost Converter with High Voltage Gain and Reduced Switch Voltage Stress -- Optimal sizing of PV/Wind/Battery grid-connected hybrid renewable energy systems using TLBO algorithm -- Performance Enhancement of AC Microgrid using Robust Control Strategies in Modern Power Systems -- Solar Photovoltaic Installation in Eight Educational Institutions in District Faridabad: A Case Study -- Regulated and Deregulated Control of a Pseudo Pancreas Using an Inflated Ant Colony Optimization technique -- Trust Value Method for False Data Injection Detection in Smart Grid.

Abstract: The book includes peer-reviewed papers from the International Conference on Sustainable Technology and Advanced Computing in Electrical Engineering (ICSTACE 2023). The main focus of the book is to provide the global perspective of sustainable research related to computer advancement in electrical engineering. This involves the areas related to sustainable development. This volume covers artificial intelligence, machine learning, the Internet of Things (IoT), cloud computing, big data analysis, blockchain, cyber security of the smart grid, etc. The book focuses on the areas related to sustainable development and includes research works from academicians and industry experts. The book discusses new challenges and provides solutions at the interface of technology, information, complex systems, and future research directions. .

Abstract: A Computational Aspect to Analyse Impact of Nutritional Status on the Development of Cardiovascular Diseases -- Vernacular Language Handwriting Recognition using Deep Learning Techniques -- FPGA Implementation of Efficient Softmax Architecture for Deep Neural Networks -- Multi-stage and multi-objective dynamic optimization-based scheduling of uncertain hybrid renewable energy systems with real-time energy compensation -- Design of Regenerative Snubber Circuit for Motor Drivers -- Clustering based multi-objective stochastic optimization approach in scheduling optimal energy dispatch of multiple energy sources in the presence of uncertainty -- Unfalsified Adaptive Control of a Robotic System -- Semi-Active Control for Seismic Vibration Mitigation of Building System with Magnetorheological Damping Device -- Relative Ageing of Population and Subpopulations in Proportional Reversed Hazard Frailty Models -- Handwritten Word Recognition in English Language -- Digital Image Watermarking Using Integer Wavelet Transform and Singular Value Decomposition -- Effect of Shallow Learning Techniques and Feature Selection for Breast Cancer Detection -- Design and Development of a Optimized Fast Transformation Module (OpFTM) for GAN Accelerator with Computation Efficiency -- A Meta-heuristic Optimized-based Classification Intrusion Detection System for BoT-IoT -- Fusion Spectrogram for Sound Classification Using 2D Convolutional Neural Network -- Design and Implementation of Garbage Detection and Classification Using YOLO-V5 -- Simulations towards design of Matching Layer in Acoustic Emission Sensor -- Virtual Impedance Based Advanced Droop Control for Improved Dynamic Power Sharing in Islanded Microgrid -- A Parallel Signal Detector Approach for Detection of Human Activities Using Multiple Seismic Sensors -- Study of Dielectric Characteristics of Forsterite Based Medical Implant -- Performance Evaluation and Assessment of 100kW Grid Tied SPV System in Subtropical Climatic Conditions -- Analysis and Experimental Validation of SPWM and SVPWM Techniques on Two-level Three-phase VSI -- Performance Analysis of Fuzzy Logic with P&O MPPT for Grid Connected Solar PV System under Varying Solar Irradiance -- Switched-Boost-Modified Z-Source Inverter for Renewable Energy Application -- Vibration Energy Harvester using piezoelectric with truncated cone rectangular beam structure for low power applications.

Abstract: This book presents the select peer-reviewed proceedings of the 2nd International Conference on Emerging Electronics & Automation (E2A) 2022. The proceedings aim to provide the reader with a view of the latest scientific efforts and achievements of the participants in the emerging fields including instrumentation, control, signal processing, communication, and associated computational techniques. It covers diverse fields of electronics, computation, automation, microelectronic technology, nanomaterials, and biomedical engineering applications. This volume will be of interest to those in academia and industry.

Abstract: Deep Convolutional Neural Networks for Brain Tumor Image Segmentation -- A Comparison and Evaluation of Handwritten Digit Recognition (HDR) Algorithms -- An Analysis of Machine Learning Algorithms for AQI Prediction -- Application of The Harmonic Runge-Kutta with Forward-Backward Technique by Parallelism -- A preconditioned conjugate gradient multigrid method for multi-material topology optimization -- Generated Graph for Text Encryption Algorithm Based on BRHC Curve -- Issues and Challenges of Digital Banking System -- Impact of COVID-19 Pandemic on Assessment Process of Technical Education System-Analysis and Critical Review -- Ensuring Energy Efficiency using AI and Nudge Theory to Reach Sustainable Development Goals: A Research Framework -- Configuration and Evaluation of Models for Ecological Systems the case of distribution of Koala -- Design and Experiments of a Manta-Ray Robot for STEM Education -- Price forecast for Imbalanced Label Data by Meta Heuristic model -- Unmanned Aerial Vehicles(UAVs): Performance Analysis of Routing Protocols for Optimized Operations -- Processing the missing value based on the linear regression approach -- Comparative Analysis for Test Case Prioritization using Particle Swarm Optimization Firefly Algorithm -- Improving object detection versatility with 6G in VANETS -- Analysis of Human Behavior on Movie Review -- Artificial Intelligence (ΑΙ) in Education-Current Trends -- The Study of Randomness Properties Exhibited by LAO-3D Lightweight Block Cipher Algorithm -- Association Rule Mining Based Food Preferences Analysis Using FP-Growth Method -- Studies on potential conflicts of network densification in 6G -- Machine Learning Framework for Detecting Fake News over Social Media Platforms -- Analysis and Detection of Political Fake News Using Deep Learning With High-Performance Hybrid-Model -- Wasserstein barycenters over Heisenberg group -- BlockChain Technology with High Performance Via Parallel Processing -- Customer Churn Prediction Model using Deep Learning -- Artificial Intelligence Use in Maritime And Ports Industry as Smart Multimodal Hubs - Emerging Trends -- On-line wear measurement for micro turning round tip tool based on machine vision -- Logistic Regression based Legal Prediction Model -- A Comprehensive Approach for Predicting Different Types of Retinal Detachment with ML algorithms -- Diabetic Retinopathy Automatic Detection and Classification in fundus Images using Modified Residual Convolutional neural networks (CNN) with improved accuracy -- Properties of Idealization Graph over a Ring -- Research Arima Model Forecasts Student's Graduation Rate -- A Home LPM System Based on WSN -- Privacy Preservation Using Network Coding Against Traffic Analysis in Wireless Network -- Optimized Back Propagation based Deep residual Learning Network Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus images -- Use Data Augmentation Model in Image Segmentation -- A prototype for Lung Cancer Forecasting Using Convolution Neural Network Method -- Utilizing Blockchain Technology for Farmer Identity Management and Land Registry Systems in Agriculture -- IoT and Big Data Analytics for Smart Healthcare 4.0 Applications -- 5G Networks with Mm Wave Communications For Enhanced Communication Range. -- Dynamic Load Balancing Schemes for Software Defined Networking (SDN) -- Symmetric Encryption Scheme Based on Fuzzy Graph -- MED-H: Smart Healthcare System Based on IoT and Rule Set -- Landscape View of Hyperparameter Optimization Cybersecurity by Using Bio-inspired Algorithm -- A Multi-hop routing with energy efficient using agglometrive hierarchical clustering using wireless sensor networks in SIOT -- A Study in Understanding the Role of Key Measures in Applying Machine Learning Models for Effective Risk Management in Banking Industry With Focus on Private Banks In India. -- A Converter Tool to Transform the Android Mobile Application into Java Codes for Software Testing -- Genetic Algorithm based Neural Network for Vegetable Price Forecasting on E-Commerce Platform: A Case Study in Malaysia -- A System for Biomedical Image Processing of Brain Tumor via Segmentation and Pattern Recognition.

Abstract: This book gathers selected high-quality research papers presented at the Second International Conference on Intelligent System (ICIS 2023), organized by Industrial University of Ho Chi Minh City, Vietnam during September 29–30, 2023. It discusses high-quality and cutting-edge research in the areas of informatics, intelligent systems, and smart technologies and applications. The book is a collection of the latest research articles in intelligent control, artificial intelligence, neural networks, knowledge discovery, decision support systems, soft computing, data mining, and ontologies, machine learning, intelligent measurement, and other related fields.

Abstract: 1. Robust Ownership Management for Secure Deduplication in Cloud -- 2. Cervical Cancer Prediction Using Machine Learning Techniques -- 3. Digital Transformation of University Course Filing using Information and Communication Technologies (ICT): A Sustainable Approach -- 4. Optimizing Neural Network Performance for Time Series Analysis: Techniques for Improving Output Accuracy -- 5. The Business-oriented Extension of the Sustainability Awareness Framework – a Design Science Study -- 6. An IoT-based Smart Waste Management System: Senegal SET -- 7. Social Media And Healthcare: Effectiveness Of Education About Covid-19 Vaccination To Improve Knowledge And Attitudes In Students -- 8. Job scheduling for Big Data processing in YARN to enhancing performance -- 9. Quantum machine learning in intrusion detection systems: A systematic mapping study -- 10. A comparative documentary analysis of the Brazilian Digital Transformation Strategies adopted in the Enabling Thematic Axes of 2018 and 2022.

Abstract: This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2023) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.

Abstract: Chapter 1: A Structure for Forecasting Stomach Cancer Using Deep Learning and Advanced Tongue Characteristics -- Chapter 2: Smart Rack System Using AI -- Chapter 3: "Enhancing Pneumonia Detection Accuracy through ResNet-Based Deep Learning Models and Ensemble Techniques: A Study Using Chest X-Ray Images" -- Chapter 4: Polisentix : Political Sentiment Analyser -- Chapter 5: An Interactive Smartphone Application to Manage Youth Loneliness -- Chapter 6: The Integral Significance of Data Science in Startup Ecosystems -- Chapter 7: Comparing Object Detection Models for Public Safety -- Chapter 8: Evolution of ChatGPT and different language models: A Review -- Chapter 9: Emotion Detection for the Blind using Deep Learning -- Chapter 10: Impact of Feature Normalization Techniques for Recognition of Speech for Mathematical Expression. etc.

Abstract: This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.

Abstract: Chapter 1: A Comprehensive Analysis of Machine Learning Models for IDS -- Chapter 2: An Overview of Artificial Intelligence Applications in Cyber Security Domains -- Chapter 3: Enhancing Security in Wireless Communications through Blockchain and Smart Contracts: A Comprehensive Study -- Chapter 4: Racist And Abusive Memes Classification Using Deep Learning Techniques -- Chapter 5: Comparative study of learning effectiveness across NEPs on network fault correlation -- Chapter 6: Securing Networks: A Machine Learning Approach to Intrusion Detection Systems -- Chapter 7: NL2Code: Harnessing Transformers for Automatic Code Generation from Natural Language Descriptions -- Chapter 8: A Comprehensive Survey and Future Standpoints on Big Data Analytics of Mobile Data -- Chapter 9: An approach to detect violations of Social Distancing norms in the public domain -- Chapter 10: AI Art Authenticator: Deep Learning Image Classification. etc.

Abstract: This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.

Abstract: Strategic positions of actors related to the defense industry in Ecuador -- Critical Factors on Lean Implementation to the Portuguese Aeronautic Industry -- Prioritization of Maintenance Repair Overhaull Capabilities Development for Military Aviation -- Evaluation of different substrates for electrodeposition of riboflavin films for determination of boric acid in eye drops -- Integrating random linear network coding and content delivery networks for reduced latency in heterogeneous network processing of mobile devices -- Artificial Intelligence Applications in Military Logistics Operations -- Artificial Intelligence Based Drowsiness Detection System for Driver Safety -- Impact of an Augmented Reality Environment in Learning Computer Networks Principles -- The impact of numerical shifts on the field artillery firing accuracy -- Management of operational usability requirements: the key to saving resources and good performance of military materials -- ChatGPT to motivate Critical Thinking inthe teaching-learning process of first semester students at the Technical University of Ambato -- Digital and traditional channels in the internal communication of a university in Peru -- Characteristics of Leadership in a Military Context: Systematic Literature Review by PRISMA Method -- Brand image mediated by satisfaction through organizational culture and cultural hierarchy. A study in the technical school of the army -- Open RCS: an open-source platform for numerical evaluation of Radar Cross Section of 3D targets -- Intrinsic and Existential Risks Due to Dual-Use Tools.

Abstract: This book gathers the proceedings of the Multidisciplinary International Conference of Research Applied to Defense and Security (MICRADS 2023), held at Graduate School of the Colombian Air Force, in Bogota, Colombia, during July 6–8, 2023. It covers a broad range of topics in systems, communication, and defense; strategy and political–administrative vision in defense; and engineering and technologies applied to defense. Given its scope, it offers a valuable resource for practitioners, researchers, and students alike.

Abstract: Chapter 1. Active Disturbance Rejection Control of Carrier-based Aircraft with High Angle of Attack Research Based on Trajectory Optimization -- Chapter 2. Simulation and Performance Test of Large Thrust Ducted Fan -- Chapter 3. A Data-driven Linear Model for Flexible Vehicles Based on Koopman Operator -- Chapter 4. UAV Path Planning Method for Key Target Reconnaissance Mission -- Chapter 5. Study on the Stability of Spring Valve Considering the Inlet Pipeline -- Chapter 6. UAV formation control based on multi-strategy search improved pigeon-inspired optimization -- Chapter 7. Airworthiness Technology: The Key for the Development and Application of Civilian Unmanned Aircraft Systems -- Chapter 8. A Frequency Domain System Identification Toolbox for Aircraft and Rotorcraft -- Chapter 9. Measurement information consensus based distributed estimation of unknown source by using mobile sensor networks -- Chapter 10. Path planning and composite attitude control for a satellite with 2-DOF large-inertia turntable -- Chapter 11. An improved Cubature Kalman Filter-based optoelectronic tracking method -- Chapter 12. Autonomous Landing of a Low-Cost Quadrotor on a Moving Target -- Chapter 13. Reentry trajectory planning based on proximal policy optimization -- Chapter 15. Investigation and Applications of Multi-species Numerical Method Based on NNW-FlowStar, etc.

Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.

Abstract: 1. Exploring Practical Applications of Blockchain in Waste Management: Insights from Industry Experts -- 2. Uncovering Hidden Connections: Granular Relationship Analysis in Knowledge Graphs -- 3. Visually Detecting Drones in Drone Swarm Formations Topologies -- 4. Comparison of deep learning and machine learning algorithms to diagnose and predict breast cancer -- 5. Overcoming the Challenges of Data Harmonization: A platform approach from Li-Ion Battery Research -- 6. Exploring the effects of technology in fintech industry: a literature review to provide a research agenda -- 7. Effectiveness Of Internal Evaluation Matrices For Community Detection Based On Clustering.

Abstract: This book includes high-quality papers presented at 17th International Conference on Information Technology and Applications (ICITA 2023), held in Turin, Italy during 20 – –22 October 2023. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in information technology and applications. The topics covered in the book are cloud computing, business process engineering, machine learning, evolutionary computing, big data analytics, internet of things and cyber-physical systems, information and knowledge management, computer vision and image processing, computer graphics and games programming, mobile computing, ontology engineering, software and systems modelling, human computer interaction, online learning /e-learning, computer networks, and web engineering.

Abstract: Model Identification of Gas-Fired Industrial Furnace -- Lyapunov-based Controller for Bilinear Model Applied to Gas-fired Furnace -- Automatic Generation Control based Sliding Mode Observer Design for Multi-Area Multi-Source Power Systems -- The PID Speed Controller implementation Using Online-GA for Permanent Magnet Synchronous Motor Drive -- Research, Design and Control a New Fresh Orange Juice Vending Machine -- Integration of Image-Based Object Identification and Distance Estimation Algorithm for Field Operational Test System of Self-Driving Vehicles -- Robot Gesture Control Using Online Feedback Data with Multi-Tracking Capture System -- Adaptive Sliding Mode Control for Parallel Manipulator Hexapod -- A Study of Optimal Control for Under-actuated Parallel type – Triple Furuta Pendulum -- Passage Detection of a Train via a Reference Point -- User Grouping and Relay Selection for Improving Outage Performance of Downlink Wireless Systems -- Priority-based uplink raw slot utilization in the IEEE 802.11ah networks -- A Perfect Knife - bulk decompilation and preprocessing tool.

Abstract: This proceedings book features selected papers on 12 themes, including wireless communications, power systems, signal processing, robotics, control systems, sustainable energy, power electronics, intelligent networks and more. Covering topics such as performance of reconfigurable intelligent surfaces for 6G communication networks, improved neural network algorithms for optimizing the power flow of renewable energy sources, anomaly detection using stationary and non-stationary signal analysis in data sciences, novel object identification and distance estimation algorithms for self-driving vehicles, the book presents interesting ideas and state-of-the-art overviews.

Abstract: Chapter 1: YOLOv8: Advancements and Innovations in Object Detection -- Chapter 2: Anxiety, Depression Red Flag Marker in Social Media -- Chapter 3: Object Detection and Tracking Approach for Traffic Monitoring -- Chapter 4: Detection of malnutrition in children using Deep Learning model -- Chapter 5: Multilingual Indian Covid-19 Chatbot -- Chapter 6: Blockchain, IoT and Smart Grids Challenges for Energy Systems -- Chapter 7: IAM Dataset-Based Author Identification via Convolutional Neural Networks -- Chapter 8: Design of low power Booth multiplier with enhance pre-logic mechanism using Verilog -- Chapter 9: Novel Statistical Glaucoma Prediction Algorithm based on Spectral Analysis -- Chapter 10: A Comparative Study of Audio Source Separation Techniques on Indian Classical Music: Performance Evaluation and Analysis. etc.

Abstract: This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.

Abstract: 1. A Study on Optimizing the Personalization of Recom-mendations & Customer Services Using Artificially Intel-ligent Neural Networks to Improve Electronic commerce -- 2. Conceptualization and frames of reference of the Teaching Digital Competence. An approach from Higher Education -- 3. Stroke risk stratification using neural networks -- 4. Vitiligo Detection Using Machine Learning Algorithms -- 5. Enhanced Monkey-Pox with image processing technology utilizing deep learning for classification -- 6. Location Information for Disaster Management and Infectious Disease Control Focusing on Japan -- 7. Information Technology Adoption in Legislative Work: The Lebanese Parliament Model -- 8. Energy Harvesting Technologies for Wireless Sensor Networks.

Abstract: This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2023) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in four volumes. The book is helpful for active researchers and practitioners in the field.

Abstract: Chapter 1. Robust Neural Control for Distributed Formation of UAVs under Uncertain Disturbances -- Chapter 2. Conception of Foreign Heterogeneous Electronic Warfare UAV Cross Domain Cooperative Operations -- Chapter 3. A Denoising Algorithm of Star Map Based on Wavelet Transform and Double-window Combined Filtering -- Chapter 4. UAV Path Planning under Multiple Threats Based on Improved Sparrow Search -- Chapter 5. Distance-constrained Multi-agent Formation Sliding Mode Control under External Disturbances -- Chapter 6. A Multi-UAV Pursuit Strategy Based on Two-Stage Collaborative Search -- Chapter 7. Multi Unmanned Aerial Vehicle Collaborative Hunting Task Allocation Method by Improved Consensus-based Bundle Algorithm -- Chapter 8. Integrated Morphing Strategy and Trajectory Optimization of a Morphing Waverider Based on An Improved Artificial Bee Colony Algorithm -- Chapter 9. Consensus of discrete-time multi-agent systems with unknown but bounded measurement noises -- Chapter 10. Rotary UAVpath planning in rough terrain based on multiple objective SA-PSO optimization, etc.

Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.

Abstract: Chapter 1. An AUV Docking Approach based on Image-based Visual-Servoing and Modified Super-Twisting Sliding Mode Control -- Chapter 2. Time and Energy Optimal Path Planning of USV under Time-Varying Ocean Currents -- Chapter 3. Comparative study on wave disturbance prediction methods for the modeling of maneuvering motion -- Chapter 4. Simulation Technology of Unmanned Surface Vehicle Cluster Based on Digital Modeling -- Chapter 5. An improved YOLOv5 approach for multi-object detection of unmanned surface vehicles -- Chapter 6. Improvement of bacterial foraging algorithm for heading control of Unmanned Surface Vessel -- Chapter 7. Research on performance boundary test scenario clustering generation method for ship autonomous collision avoidance algorithm -- Chapter 8. Design of Course Controller for Unmanned Surface Vehicles Considering Complex Environment Interference -- Chapter 9. Variable structure water-air amphibious trans-media vehicle concept design and characteristic analysis -- Chapter 10. Underwater small target detection based on improved YOLOv7, etc.

Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.

Abstract: Chapter 1. Improved Factor Graph Algorithm for Adaptive Weight Function Based on Residual Adjustment -- Chapter 2. Design of Dual-rotor Vehicle Controller Based on Auto Disturbance Rejection -- Chapter 3. SLAM Loopback Detection and Down Sampling Optimization in Unattended Patrol Environment -- Chapter 4. OC-DWA: an improved dynamic window approach for USV online planning considering ocean currents -- Chapter 5. A Lightweight RGB-D Image-Based 3D Object Detector for Mobile Robots -- Chapter 6. Adaptive Control of Path Tracking Based on Improved Pure Pursuit Algorithm -- Chapter 7. LuoJia-Explorer: Unmanned Collaborative Localization and Mapping System -- Chapter 8. An effectiveness evaluation methodology of reconnaissance/strike UAV formation based on OODA -- Chapter 9. Fast Autonomous Exploration with Sparse Topological Graphs in Large-Scale Environments -- Chapter 10. LiDAR-based small-sized obstacles detection for mobile robot, etc.

Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.

Abstract: Chapter 1: Analytics of Machine Learning in Healthcare Industries -- Chapter 2: Design and Implementation of First in First out (FIFO) Buffer for distributed load balancing systems -- Chapter 3: Artificial Neural Networks-based Forecasting to Anticipate the Indian Stock Market -- Chapter 4: A Framework for Real Time Crowd Behaviour Monitoring System based on Human Activity Recognition in Surveillance Videos -- Chapter 5: STM32 Based Home Automation and Energy Monitoring System with TFT Display -- Chapter 6: Smart Rover for Farm Pesticide Spraying -- Chapter 7: Emergency Alert and Adaptive Traffic Signal System Using Machine Learning -- Chapter 8: Design of a chatbot for relieving academic stress in adolescent students -- Chapter 9: Mental Health Predictive Analysis using Machine Learning Techniques -- Chapter 10: Crime Prediction and Prevention Using Design Intervention and Artificial Intelligence. etc.

Abstract: This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.

Abstract: Chapter 1: Cancer Classification using Gene Expression Data -- Chapter 2: A Three-Phase Heart Rate Variability Analysis for Assessing Cardiac Health Deterioration in Diabetics -- Chapter 3: RIGHT TO BE FORGOTTEN: A HUMAN RIGHTS BASED APPROACH FOR GOVERNANCE IN GENERATIVE AI -- Chapter 4: "Correlation of Emotional Intelligence and Perceived Stress: A Comprehensive Analysis" -- Chapter 5: Use of CNNs for Estimating Depth from Stereo Images -- Chapter 6: An AI and IoT Based Smart Green Home Sustainability -- Chapter 7: Automated Gym Exercise Form Checker: Deep-Learning Based Pose Estimation -- Chapter 8: Virtual Reality Based Pedagogical Framework for Design Education -- Chapter 9: Routing strategies for Quality of Service Optimization over Vehicular Ad-hoc Networks: A Review -- Chapter 10: A Review of Plant Classification using Deep Learning Models. etc.

Abstract: This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.

Abstract: Text Summarization Approaches under Transfer Learning and Domain Adaptation Settings – A Survey -- An Effective Eye-Blink Based Cyber Secure PIN Password Authentication System -- A Comparison of Algorithms for Bayesian Network Learning for Triple Word Form Theory -- Application of Machine Learning Algorithm in Identification of Anaemia Diseases -- Detection of Fruits Image Applying Decision Tree Classifier Techniques.

Abstract: The book presents high-quality research papers presented at the International Conference on Computational Intelligence and Data Analytics (ICCIDA 2022), organized by the Department of Information Technology, Vasavi College of Engineering, Hyderabad, India in January 2022. ICCIDA provides an excellent platform for exchanging knowledge with the global community of scientists, engineers, and educators. This volume covers cutting-edge research in two prominent areas – computational intelligence and data analytics, and allied research areas.

Abstract: Detection of Highly Energetic Materials using Infrared Spectroscopy Coupled with Chemometrics -- Platform for Interactive Audiovisual Productions and Generative Art using Processing -- Feasibility Study of the Use of Petri Nets in the Verification of UML Diagrams -- Maturity Model for Boards of Directors in Cyber Risk Governance. A Conceptual and Practical Proposal -- A Visual Graph Approach for Evaluating the Vulnerability of ENC Standards -- Bibliometric Analysis on Cibersegurity: Spoofing Attack Technique and Evolution -- Centralized Management IoT Platform -- Application of the Criterion of Total Movement Minimization in the Ammunition Area of an Armament Factory -- Sweat as a Testing Analytical Fluid for Emotions and Stress Biomarkers Detection -- Statistical Processing of Relationship Between Biomarkers and Disease Severity Caused by Covid-19 Infection-Delta Variant -- Sustainable Development in Higher Education Curricula for Software Engineering Chairs -- Evaluation of Digital Skills. Educating Middle School and High School Students on Cyber Risks.

Abstract: This book gathers the proceedings of the Multidisciplinary International Conference of Research Applied to Defense and Security (MICRADS 2022), held at Escuela Naval de Suboficiales ARC "Barranquilla," in Barranquilla, Colombia, during July 11–13, 2022. It covers a broad range of topics in systems, communication, and defense; strategy and political–administrative vision in defense; and engineering and technologies applied to defense. Given its scope, it offers a valuable resource for practitioners, researchers, and students alike.

Abstract: Analysis of Healthcare System using Classification Algorithms -- Dollar Price Prediction using ARIMA -- An Exploratory Study On The Impact Of Digital Marketing And Innovations On E-Commerce Mechanism -- Apple Stock Price Prediction Using Regression Techniques -- Water Quality Assessment Through Predictive Machine Learning -- Comprehensive Review of Lie Detection in Subject based Deceit Identification -- Medical Image Processing and Machine Learning: A Study -- Security and privacy policy of mobile device application management system -- IoT based smart medical data security system -- Investigating the Impact of Distance on the Reception in Molecular Communication.

Abstract: This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2023), organized by the Computer Engineering Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 24–25, 2023. The book includes innovative and novel papers in the areas of intelligent computing, artificial intelligence, machine learning, deep learning, fuzzy logic, natural language processing, human–machine interaction, big data mining, data science and mining, applications of intelligent systems in healthcare, finance, agriculture and manufacturing, high-performance computing, computer networking, sensor and wireless networks, Internet of Things (IoT), software-defined networks, cryptography, mobile computing, digital forensics and blockchain technology.

Abstract: Section 1: Machine Learning and Applications -- Chapter 1. AVENet:Attention based VGG 16 with ELM for obscene image classification -- Chapter 2. Analyzing Market Dynamics of Agricultural Commodities: A Case Study based on Cotton -- Chapter 3. Feature Selection for Nepali Part-Of-Speech Tagging in a Conditional Random Fields based System -- Chapter 4. Design and Development of a ML-based Safety-Critical Fire Detection System -- Chapter 5. Compressed Image Super-Resolution using Pre-trained Model Assistance -- Chapter 6. Optimization of Character Classes in Devanagari Ancient Manuscripts and Dataset Generation -- Chapter 7. Deep Learning based Classification of Rice Varieties from Seed Coat Images -- Chapter 8. Leaf Based Plant Disease Detection Using Intelligent Techniques – A Comprehensive Survey -- Chapter 9. Bengali Document Retrieval Using Model Combination -- Chapter 10. Deep Neural Networks Fused with Textures for Image Classification -- Chapter 11. Real Time Prediction of In-Hospital Outcomes using a Multilayer Perceptron deployed in a Web-based Application -- Chapter 12. Automated analysis of Connections in Model Diagrams -- Chapter 13. No-reference Image Quality Assessment using Meta-Learning -- Section 2: Security -- Chapter 14. Cryptanalysis of Markle Hellman Knapsack Cipher using Cuckoo Search Algorithm.-Chapter 15. Generating a Suitable Hash Function using Sudoku for Blockchain Network. etc.

Abstract: This book gathers high-quality research papers presented at the 3rd International Conference on Frontiers in Computing and Systems (COMSYS 2022) held at Indian Institute of Technology Ropar, Punjab, India, during December 19–21, 2022. The book covers research in “cyber-physical systems for real-life applications” pertaining to AI, machine learning, and data science; devices, circuits, and systems; computational biology, biomedical informatics and network medicine; communication networks, cloud computing and IoT; image, video and signal processing; and security and privacy.

Abstract: Part 1: Soft Computing and Machine Learning -- Chapter 1. Performance Analysis of Clustering Using Modified Grey Wolf Optimization -- Chapter 2. Designing of Advanced Machine Learning based Predictive Model for Maternal Mortality -- Chapter 3. Multi-Criteria based Page Ranking using Metaheuristic Swarm Optimization -- Chapter 4. k-NN-SSc: An Effective Similarity Score for k-NN Classifier -- Chapter 5. Password Management System using Blockchain -- Chapter 6. Deep Reinforcement Learning Algorithms for D2D Communications: A Comparative Analysis -- Chapter 7. AI-enabled IDS for Identifying Malicious Traffics in Cloud Systems -- Chapter 8. NITSDN: Development of SDN dataset for ML-based Intrusion Detection System -- Chapter 9. Association Rule Mining in Distributed Environment: A Survey -- Chapter 10. Performance Analysis of the AdaGrad Family of Algorithms -- Chapter 11. Time-Related Natural Language Query Handling to Extract Autism Spectrum Disorder Information from Temporal Database -- Chapter 12. Emotion-Based Music Recommendation -- Chapter 13. A Comprehensive Study on Natural Language Processing, It's Techniques and Advancements in Nepali Language -- Chapter 14. Quality Evaluation of Enterprise Architecture Frameworks -- Chapter 15. Natural Language Query Processing System to Extract Autism Spectrum Disorder Information from Database. etc.

Abstract: This book presents high-quality, peer-reviewed papers from Fourth International Conference on Advanced Computational and Communication Paradigms (ICACCP 2023), organized by Department of Computer Science and Engineering (CSE), Sikkim Manipal Institute of Technology (SMIT), Sikkim, India, during February 16–18, 2023. ICACCP 2023 covers advanced computational paradigms and communications technique which provides failsafe and robust solutions to the emerging problems faced by mankind. Technologists, scientists, industry professionals, and research scholars from regional, national, and international levels are invited to present their original unpublished work in this conference.

Abstract: This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (InCITe-2023). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in decision intelligence, deep learning, machine learning, artificial intelligence, data science, and enabling technologies for IoT, blockchain, and other futuristic computational technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks, and intelligence, decision-making, and modeling, information systems, and IT architectures. This book provides a valuable resource for those in academia and industry.

Abstract: Experimental Assessment of a Current Controller Based on Non-Linear Auto Disturbance Rejection Control For DFIG-Based Wind Turbines During Grid Voltage Imbalance -- Photovoltaic Generation Scenario Reduction Method Based on Improved K-means Clustering -- Current Sharing Control of Disturbance Compensation for Parallel H-Bridge Converters Based on Finite-Time Control Technology -- Voltage-Frequency Control Strategy Based on Modular Multilevel Matrix Converter -- Research on voltage and frequency control method of wind turbine high proportion system -- Modeling and multi-objective control strategy of two-stage energy storage system for peak shaving and valley filling -- Destination-demand-oriented EV Charging Scheduling Strategy Based On User Behavior Analysis -- Research on power load characteristics and cluster analysis of 5G communication base stations -- Experimental study on a new type of water storage tank for geothermal heating -- Research and application of automatic testing technology of relay protection device based on substation monitoring information interaction -- Research on Power Sharing Method of Multi Terminal HVDC Transmission System Based on Voltage Droop Control -- Optimal siting and capacity allocation of BESS based on improved multi-objective particle swarm algorithm -- Research on Coordinated Control Technology of Distribution Network with Soft Open Point based on RTDS -- Research on the Optimization of Fixed Value Boundary of Line Distance Protection Load Impedance -- Analysis and Design of EAST New Generation Fast Control Power Integrated Protection System -- An Analysis Method for Residential Electricity Consumption Behavior Based on UMAP-CRITIC Feature Optimization and SSA-Assisted Clustering -- Simulation and FPGA implementation of transient power quality disturbance detection -- Performance of Dynamic Seal Torque Transfer System of Power Turbine Based on Magnetic Coupling -- Research on dense tiny object detection method of transmission line based on dynamic NMS -- Electrical insulator defect detection from incomplete annotations by positive-unlabeled learning -- Wide frequency band oscillation mechanism and suppression measures for grid interfaced PV inverters based on impedance analysis -- DG Hosting Capacity Assessment for Flexible Distribution Networks: A Moment-based Distributionally Robust Approach -- Research on the Establishment of Recognition System for Harmonic Amplification Phenomenon in Electric Transmission Lines Caused by Centralized Connection of Multiple Wind Power Plants -- Application of Hankel Dynamic Mode Decomposition for Wide Area Monitoring of Subsynchronous Resonance -- Research on abnormity detection based on smart meter big data analysis -- Dual Side Protection Control Strategy for UPQC based on ECVS-SMES HESS During Voltage Unbalance -- Optimization Planning Method for New Energy Grid Electricity-Hydrogen Conversion and Energy Storage Facilities Considering Source-Load Uncertainty -- Insulator Defect Detection Based on Improved YOLOX -- Multi Source Coordinated Opportunity Optimal Scheduling with Multiple Uncertainties -- Bypassed On-Chaining: A Highly Secure and Loosely Coupled Data On-Chaining Solution for Electricity Demand Response Systems -- Operation Characteristics of LCC-HVDC Split-Pole Connected to Power Grids and Its Influence on Control and Protection System -- ABFT: High-Performance Asynchronous Byzantine Fault-Tolerant Consensus Algorithm for Electricity Data Metrology -- Semi-hot Redundant Control for MMC with Different Modulation Strategies -- An Ultra-Low Input Voltage Power Management System (Pms) for Thermoelectric Energy Harvesting -- Intelligent Recognition of Transformer and Converter Components Based on Deep Learning -- Research on Dual-channel Wide-Dynamic Microwave Rectifier Based on Automatic Input Power Distribution Technology -- Robustness Evaluation of Electric-Gas Coupling Integrated Energy System Based on Cascading Failure Theory -- A Novel Combined Model Based on Hybrid Data Decomposition, WOA And ENN for Short-Term Wind Speed Forecasting -- Customer Directrix Load Profiles under High Penetration of Winds Considering Contribution Factors of Generators to Load Bus -- Fuzzy Adaptive Tuning PI Control based MPPT Method for Variable Speed Wind Turbine System -- Research on distribution of grounding current based on different earth models -- Key Factors Identification for the Energy Efficiency of Metro system based on DEMATEL-ISM -- A Design of Embedded Servo Measurement and Control System in High Performance -- Calculation and simulation model of three-dimensional electric field distribution of porcelain insulator string deterioration based on passive electro-optic field strength sensing technology -- Numerical Simulation of Resistive Current Extraction of 10kV MOA -- Intelligent Scheduling of AGV Based on Adaptive Traffic Control System Theory in Automated Terminal -- Research on automatic generation and verification of test sequence for new train control system -- Occluded vehicle detection with fusing motion information -- Study of An Acitve/Reactive Power Coordinative Control Method in Capacitor Series Inverter-based Microgrid -- Multi-agv cooperative scheduling model based on improved time window -- Train collision protection method based on virtual coupling technology -- Research on CTCS-N onboard equipment testing method based on timed automata mutation model -- Research on Connection Mode Recognition Method for Medium Voltage Distribution Network Based on CIM File Resolution and Theory -- A Robust Control Approach for Virtually Coupled Train Set with Parameter Uncertainty under External Perturbations -- Code-based PSO-SVM Algorithm for Network Security Posture Warning of Power System -- Connectivity Reliability of Compound Rail Transit Network: A Case Study of Beijing-Tianjin-Hebei Urban Agglomeration in China -- Performance analysis of empirical weighting method and Helmet variance component estimation method in CPIII data processing of long line -- Fault self-healing scheme of MMC DC distribution line -- Highly Reliable Warning Method for Tanker Rollover Based on Fuzzy Logic -- Real-time Train Rescheduling with Passenger Demand for Rolling Stock Rescue -- A based DSC Approach to Robust Adaptive Tracking Control for Strict-feedback Nonlinear Systems with Dead-zone Input -- Passenger Flow Estimation in Urban Rail Transit Transfer Station Based on Multi-source Detection Data -- Research on Maglev Track Irregularity Based on Power Spectral Density -- Research on Collection and Distribution Scheme of Railway Container Hub Based on Time Value-Space-Time Network -- Thermal simulation of I/O subsystem of an all-electronic computer interlocking based on finite element analysis -- Research and optimization of the coupling performance of pantograph-catenary system based on numerical simulation and experimental tests -- A Metro Traffic Flow Forecasting System Coupling Singular Spectrum Analysis, Deep Bidirectional LSTM Networks, and Ensemble Strategy -- Finite element analysis of near-field geomagnetic magnetic anomalies of underwater ferromagnets -- Research and application of key technologies for intelligent interpretation of natural resource satellite remote sensing images -- Optimal Dispatch of Active Distribution Network with Electric Vehicles Based on Improved CROA -- Single track railway segment passing capability calculation study based on Moving Block System -- Vibration Mitigation Design and Effect Prediction of Ballast Turnout in Metro Depot.

Abstract: This book includes the peer-reviewed proceedings of the 2nd International Conference on Information Control, Electrical Engineering, and Rail Transit (ICEERT 2022). This book provides the advanced research results of transportation and covers the main research fields of information control, traffic information engineering, and control, intelligent transit, logistics, etc. This book aims to promote a new green and intelligent mode of rail transit between scholars from the top universities, research centers, and high-tech enterprises around the world, which is beneficial to researchers and practitioners in mechanical engineering. .

Abstract: Artificial intelligence, Machine Learning and Data Sciences -- Alzheimer’s Disease Classification using Ensemble methods -- Difference-Attribute Based Clustering for Ordinal Survey Data -- Machine Learning Algorithms for Binary Classification of Breast Cancer -- Applications, Issues and Deep Learning Analysis of Electronic Health Records -- Wireless Communication, WSN & Adhoc Networks -- Design of Frequency Beam Scanning Antenna Using SIW for mmwave Applications -- Preventing Data Leakage by Trojans in Commercial and ASIC Application using TDM and DES Encryption & Decryption -- Design of Helmet Mounted Dual Band Conformal Antenna for Military Applications -- Cloud Computing, 5G & loT -- Performance evaluation of Genetic Algorithm and Flower Pollination Algorithm for scheduling tasks in cloud computing -- Comparative Analysis of Load Balancing Algorithm in Cloud Computing -- Robotics and Embedded Systems -- Securely Importing of Back-up file into Cryptowallet -- Trajectory Optimization of a satellite -- Artificial Intelligence Aided Trajectory Planning for UAV -- Sensors & Sensor Technology -- 9T1R nvSRAM Cell with Improved Read Delay and Margin -- System Modelling of Martian Ascent Launch Vehicle.

Abstract: This volume comprises selected peer-reviewed proceedings of the 9th International Conference on Signal Processing and Integrated Networks (SPIN 2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in signal processing, IoT sensors, systems and technologies, cloud computing, wireless communication, and wireless sensor networks. This volume will provide a valuable resource for those in academia and industry.

Abstract: Chapter 1: Enhancing Computational Thinking Based on Virtual Robot of Artificial Intelligence Modelling in The English Language Classroom -- Chapter 2: Software Change Prediction Model using Ensemble Learning -- Chapter 3: Discerning Monkeypox from other Viruses of the Poxviridae Family in a Deep Learning Paradigm -- Chapter 4: An Exploratory Study to Classify Brain Tumor Using Convolutional Neural Networks -- Chapter 5: Skin Cancer Detection with Edge Devices using YOLOv7 Deep CNN -- Chapter 6: Effective Image Captioning using Multi-Layer LSTM with Attention Mechanism -- Chapter 7: A Hybrid Approach for Sentiment Analysis using Game Theory in Word Sense Disambiguation -- Chapter 8: A Sequential News Capture and Summarization Model (SNCSM) -- Chapter 9: A Novel Explainable Artificial Intelligence Based Deep Reinforcement Learning for Secured Smart City Applications -- Chapter 10: A Review of IoT Security Solutions using Machine Learning and Deep Learning. etc.

Abstract: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.

Abstract: Hand Gesture Controlled Simulated Mouse Using Computer Vision -- Ecommerce Web Portal Using Full Stack Open-Source Technologies -- Design of a QoS aware machine learning model for high trust communications in wireless networks -- Application of Machine Learning in Mineral Mapping us-ing Remote Sensing -- An improved energy conservation routing mechanism in heterogeneous wireless sensor networks -- Prediction of Covid-19 Severity Using Patients PHR -- A Survey on Crop Rotation using Machine Learning and IoT -- Survey of consumer purchase intentions of live stream in the digital economy -- Deferred effect financial investment in marketing? Based on China's non financial as investigation object -- Leveraging Block Chain Concept: Service Delivery Acceleration in Post Pandemic times -- An effective computing approach for damaged crop analysis in Chhattisgarh -- An Improve Approach in Core Point Detection for Secure Fingerprint Authentication System -- Investigating i-vector Framework for Speaker Verification in Wild Conditions.

Abstract: This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Sixth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2022), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.

Abstract: This book presents a collection of high-quality, peer-reviewed research papers from the 7th International Conference on Information System Design and Intelligent Applications (India 2022), held at BVRIT Hyderabad College of Engineering for Women, Hyderabad, Telangana, India, from February 25 to 26, 2022. It covers a wide range of topics in computer science and information technology, including data mining and data warehousing, high-performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing and cognitive computing.

Abstract: 1. Survey Paper on Multi-View Object Detection: Challenges and Techniques -- 2. Exploring the Scheduling techniques for the RTOS -- 3. Grid Power Smoothing Management for Direct Drive PMSG Variable Speed Wind Energy Conversion System with Multilevel Converter -- 4. Fall Detection using Transformer Model -- 5. Survey on various IOT based irrigation techniques in India -- 6. Empirical analysis of crop-yield analysis and disease detection systems: A statistical perspective -- 7.Analysis of Public Perception of Autonomous Vehicles Based on Unlabelled Data from Twitter -- 8. DFCNNet: A Convolutional Neural Network to Detect Deepfakes -- 9. White Blood Cells Classification Using Deep Learning Technique -- 10. Comparative Analysis of Convolutional Neural Network in Object Detection -- 11. A Review of the Applications and Future Scope of Artificial Intelligence in Smart Transport -- 12.Besuited EEG Signal Analysis for Stress Monitoring Using BIONIC Sensor -- 13. Publish –Subscribe With Iot For A Smart Soil Moisture Irrigation System -- 14. An Optimized Taxonomy And Identification Of Retinal Eye Diseases For Diabetes Patients Using CNN -- 15. Axiomatically Designed Research Support Systems -- 16. Detection Of Hepatitis-B Virus Using NFC-Enabled Smartphone Based Portable Amperometric Immunosensor -- 17. Encrypto – Decrypto -- 18. Enhancing the employability of engineering graduates: An assertion on fundamental educational aspect of engineering education with proposing a hypothesis of ‘Wishing Theory’ based on prospective machine learning model -- 19. UpMove DownMove Strategy using NeuralNetwork Techniques For The Prediction Of Stock Prices -- 20. Breast Cancer Detection Using Bag Of visual Words -- etc.

Abstract: This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 7th International Conference on ICT for Sustainable Development (ICT4SD 2022), held in Goa, India, on 29–30 July 2022. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.

Abstract: Chapter 1. Energy and Thermal Comfort Integrated Control of Vehicles -- Chapter 2. Battery Management System of Electric Vehicle -- Chapter 3. Vehicle speed prediction in multi-dimensional domain -- Chapter 4. Eco-driving Behavior of Automated Vehicle -- Chapter 5. Service Planning and Operation for Autonomous Valet Parking -- Chapter 6. Mining Passenger Regional Mobility in Ile-de-France using Multiple Data Sources -- Chapter 7. Grid Optimal Integration of Electric Vehicles: Vehicle-to-grid scheduling strategy -- Chapter 8. Artificial Intelligence for optimization bi-directional V2G behaviors -- Chapter 9. Local energy trading with EV flexibility -- Chapter 10. Communication and Networking in Internet of Vehicles -- Chapter 11. The Overview of Non-orthogonal Multiple Access in Vehicle-to-Vehicle Communication -- Chapter 12. Trust Management for Internet of Vehicles -- Chapter 13. Instruction Detection of In-Vehicle Networks -- Chapter 14. Security and Privacy-Preserving for Automated Electric Vehicle.

Abstract: This book focuses on the design, informatics, and energy sustainability of automated and electric vehicles. Both principles and engineering practice have been addressed, from design perspectives toward informatics enabled transport service operation including automated valet parking and charging use cases. This is achieved by providing an in-depth study on a number of major topics such as battery management, eco-driving system, telecommunications, transport and charging services, cyber-security, etc. The book benefits researchers, engineers, and graduate students in the fields of the intelligent transport system, telecommunication, cyber-security, and smart grids.

Abstract: Computational Intelligence: Theoretical Foundation -- Computational Intelligence & Knowledge Discovery -- Computational Intelligence & Data Science -- Computational Intelligence for Information Security -- Computational Intelligence & IoT enabling Architectures -- Computational Intelligence & its applications -- Computational Paradigms.

Abstract: The book constitutes the peer-reviewed proceedings of the 2nd International Conference on Information Technology (InCITe-2022): The Next Generation Technology Summit. The theme of the conference is Computational Intelligence: Automate your World. The volume is a conglomeration of research papers covering interdisciplinary research and in-depth applications of computational intelligence, deep learning, machine learning, artificial intelligence, data science, enabling technologies for IoT, blockchain, and other futuristic computational technologies. The volume covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks and intelligence, decision making, and modeling, information systems, and IT architectures. The book will be useful to researchers, practitioners, and policymakers working in information technology.

Abstract: Exploration of FreeRTOS on a RISC-V Architecture -- A Comprehensive Study on Social Network Analysis for Digital Platforms to Examine and Solve the Behavioral Patterns of Everyday Routines -- Proctoring System for Remote Users Based on Machine Learning Techniques -- Research and Analysis on Voice-Based System with Machine Learning -- Validation Study of a Derived 12 Lead Reconstructed ECG Interpretation in a Smartphone-Based ECG Device -- On-Premise or Cloud Computing: An Integrated Novel Approach to Study the Adoption of Software Product’s Deployment Model with Different Scopes.

Abstract: This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 7th International Conference on ICT for Sustainable Development (ICT4SD 2022), held in Goa, India, on 29–30 July 2022. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.

Abstract: Event-triggered control for nonlinear systems with stochastic dynamics, transmission instants and protocol -- Model-based controller -- Stability analysis of event-triggered nonlinear systems under stochastic DoS attacks -- Distributed optimization with network communication -- Distributed robust Nash equilibrium seeking for aggregative games under persistent attacks -- A distributed robust two-time-scale switched algorithm for constrained aggregative games -- Conclusions and perspectives.

Abstract: This book considers the problems of network-based control and optimization. As is known, network-based control has great advantages over traditional control systems because it may lead to easy installation and maintenance, low cost, and so on. Sometimes, network-based control is also necessary in many situations. For example, multi-agents may need to communicate with each other under wireless scenarios. On the other hand, the network may lead to some imperfect factors such as samplings, delays, transmission protocols, and packet losses. These factors may degrade the system performance and even lead to the instability of the control systems. This book aims at providing a modeling framework and analysis approach for the general nonlinear networked control systems based on the hybrid framework. The proposed results deal with very general nonlinear systems and help the readers understand the principle of nonlinear network-based control and optimization.

Abstract: A Survey of Relative Motion Dynamics and Control of Distributed Satellite Formation -- Determination Technology and Accuracy Analysis of Configuration Parameters of Ground System Dual Satellite Formation Based on Navigation Data -- UAV path planning based on improved GWO algorithm -- A Review on tracking control of the underactuated vessel with time delays -- A Multimodal Image Matching Algorithm Based on Structure Feature -- Full-scale Attitude Solution Based on Dual Euler Method -- Q-Learning Based Online Adaptive Flight Control for Fixed-Wing UAV.

Abstract: This book features the latest theoretical results and techniques in the field of guidance, navigation, and control (GNC) of vehicles and aircrafts. It covers a wide range of topics, including but not limited to, intelligent computing communication and control; new methods of navigation, estimation and tracking; control of multiple moving objects; manned and autonomous unmanned systems; guidance, navigation and control of miniature aircraft; and sensor systems for guidance, navigation and control etc. Presenting recent advances in the form of illustrations, tables, and text, it also provides detailed information of a number of the studies, to offer readers insights for their own research. In addition, the book addresses fundamental concepts and studies in the development of GNC, making it a valuable resource for both beginners and researchers wanting to further their understanding of guidance, navigation, and control.

Abstract: Deep Vision: A Robust Dominant Colour Extraction Framework for T-shirts based on Semantic Segmentation -- Wheel Shaped Defected Ground Structure Microstrip Patch Antenna with High Gain and Bandwidth for Breast Tumor Detection -- IOT based Automated Drip Irrigation and Plant Health Management System -- An Integrated Approach for Pregnancy Detection using Canny Edge Detection and Convolutional Neural Network -- Ontology based Profiling by Hierarchical Cluster Analysis for Forecasting on Patterns of Significant Events.

Abstract: This book contains high quality research papers accepted and presented at the International Conference on Intelligent Computing, Communication and Information Security (ICICCIS 2022), organized by Swami Keshvanand Institute of Technology, Management & Gramothan (SKIT), Jaipur, India during 25-26, November 2022. It presents the solutions of issues and challenges in intelligent computing, communication and information security domains. This book provides a background to problem domains, considering the progress so far, assessing the potential of such approaches, and exploring possible future directions as a single readily accessible source.

Abstract: Wireless SDN : A Perspective for Handover Management -- Classification of Sentiment Analysis of Tweets On Twitter -- A Boosted Random Forest Algorithm for Automated Bug Classification -- Secure QR Code Transactions Using Mobile Banking App -- A Small-Scale Ontology to represent Knowledge about Question Items -- Deep Learning for classification of encrypted images -- A Clustering-based Approach to Feature Selection for Breast-Cancer Classification -- Knowledge Discovery and Visualization of UMLS based on Complex Network Analysis -- An Automatic Early Detection of Melanoma Skin Cancer Using Fuzzy C-Means -- Integrating Hybrid feature extraction techniques with Support Vector Machine for Efficient Facial emotion recognition -- Classification of ISL using Pose and Object Detection based Techniques -- Explainable Artificial Intelligence for Autonomous Surface Vessels by Fuzzy-Based Collision Avoidance System -- Gamification: Secret ingredient in enhancing flavor of Theory of Computation understanding -- Voice Controlled Home Automation System -- A Review of Depressive Disorder Detection Based on Sentiment Analysis -- Efficient bounding strategy for CEC 2020 winner algorithms in solving production planning problems.

Abstract: This book gathers high-quality papers presented at the Seventh International Conference on Smart Trends in Computing and Communications (SmartCom 2022), organized by Global Knowledge Research Foundation (GR Foundation) from January 24–25, 2023, in Jaipur, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.

Abstract: Intrusion Detection Model for IoT Networks using Graph Convolution Networks(GCN) -- Drowsiness Detection System -- A Deep Learning Technique to Recommend Music based on Facial and Speech Emotions -- Smart Chair Posture Detection and Correction Using IOT -- The Opinions Imparted On Singular’s Face.

Abstract: This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Seventh International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2023), held in Ahmedabad, India. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.

Abstract: A Study on Interval Valued Intuitionistic Fuzzy Oscillatory Region -- Face Mask Detection using Keras/Tensorflow -- Simulation based Comparative Study for Effective Cell Selection in Cellular Networks -- Comparative Analysis of Detection of Network Attacks Using Deep Learning Algorithms -- Multi-criteria Decision-making Problems in an Interval Number Based on TOPSIS method -- Sentiment Analysis of Twitter data by Natural Language Processing and Machine Learning -- A Generalized Fuzzy TOPSIS Technique in Multi-Criteria Decision-Making for Evaluation of Temperature -- UWB FR4-Based CPW-Fed Equilateral Triangular Slot Antenna for CubeSat Communication -- Comparative study of Support Vector Machine based Intrusion Detection System and Convolution Neural Network based Intrusion Detection System -- Association Rules Generation for Injuries in National Football League (NFL) -- A Supplier Selection Using Multicriteria Decision Analysis Method Under Probabilistic Approach -- Proactive Public Healthcare Solution Based on Blockchain for Covid-19 -- A TOPSIS Technique for Multi-Attribute Group Decision making in Fuzzy Environment -- Design and Implementation of Fuzzy Controller Based DC to DC Converter for PV System -- A Multi-Objective Task Scheduling Approach Using Improved Max-Min algorithm in Cloud Computing.

Abstract: This book presents high-quality, peer-reviewed papers from International Conference on Advanced Communications and Machine Intelligence (MICA 2022), organised by M.Kumarasamy College of Engineering, Chennai, Tamil Nadu, India, during 9–11 December 2022. The book includes all areas of advanced communications and machine intelligence. The topics covered are network performance analysis, data mining and warehousing, parallel and distributed networks, computational intelligence, smart city applications, big data analytics, Internet of Things networks, information management and wireless sensor networks. The book is useful for academicians, scientists, researchers from industry, research scholars and students working in these areas.

Abstract: Traffic Classification of Software Defined Networks using Machine Learning -- Rice Leaf Disease Detection Using Different Models And Comparative Analysis -- 5G Mobile System Drawbacks and Limitations -- Survey on implementation of Machine Learning in Cloud Security -- Deep learning approach to predict crop yield using IOT sensor data -- Classification of Pomegranate Fruit Disease using CNN -- NICE: Navagraha Iconography Classification Engine -- Autograder: A Feature Based Quantitative Essay Grad-ing System Using BERT -- Bluetooth Automated Wheel Chair -- SCADA in Healthcare -- Data Security in a Cloud Environment using Cryptographic Mechanisms -- Secure data education: leveraging big data for enhanced academic performance and student success in educational institutions -- Drought Monitoring and Assessment Through Remote Sensing Data in Bundelkhand Area of Madhya Pradesh -- Smart glasses designed using ESP32- cam coupled with Google lens -- Hardware Architecture of Reinforcement Learning for Edge Devices -- Strengthening the Privacy of Blockchain with Zero Knowledge Proof Case Study: Online Exam Student Verification.

Abstract: This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 8th International Conference on ICT for Sustainable Development (ICT4SD 2023), held in Goa, India, on August 3–4, 2023. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.

Abstract: Web Application for Monitoring Foundry Processes using IoT -- Blue Kei as an Example of Technology Based Efficient and Cost-Effective Production Processes -- A Bibliometric analysis of Artificial intelligence and Human Resource management -- A Review on Quantum Blockchain based Consensus Mechanism Approaches -- A Secure and Practical Scientific Computation Outsourcing Application in Cloud Computing -- Navigating the Complexities of Cryptography: Trends, Problems and Solutions -- Real-time Suppression of Non-stationary Noise for Web-based Calling Applications -- Event Management using Blockchain -- Impact of Artificial Intelligence on Human Resource Management Practices in Private Organizations of India -- Artificial Intelligence in Finance and Accounting: Opportunities and Challenges -- Online Meeting Summarization Based on Text and Image Processing -- A Byte Transformation Technique for Lossy Image Compression -- Support Vector Machine Classifier for Wheat Grain Identification based on Grid Search Optimization Technique -- RTOS schedulers for periodic and aperiodic taskset -- Identity-Based Encryption (IBE) based Improved Data Possession Techniques -- Prediction of Stroke from Hand Patterns obtained using Spiral/Wave test through Densely Connected Convolutional Neural Networks -- Two Decades of Innovative Work Behaviour – A Bibliographic Study -- Comparison of Collision Avoidance and Path Planning Algorithms for Unmanned Surface Vehicle -- A Review on Fingerprint Features and Algorithms -- DDoS Attack Prediction System Using Machine Learning Algorithms -- Survey of Explainable AI Techniques: A Case study of Healthcare -- Prediction of Heart Disease with Machine Learning Methods: Comparison and Analysis -- A Threat and Risk Analysis of Internet Communication Technology Use -- ChatGpt: An Advanceds Natural Language Processing System for Conversational AI Applications – A Comprehensive Review and Comparative Analysis with Other Chatbots and NLP Models -- Video Dehazing Using Dark Channel Prior and Type-2 Fuzzy sets -- A Comprehensive Review of Deep Learning Techniques for Brain Tumor Prediction -- Generalized Technique for Potato Leaves Disease Classification using Convolutional Neural Network -- A Perspective of 5G Network and Associated Impact in India -- Automated GUI Testing for enhancing User Experience (UX): A Survey of the State of the Art.

Abstract: This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 8th International Conference on ICT for Sustainable Development (ICT4SD 2023), held in Goa, India, on 3–4 August 2023. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.

Abstract: Part I: Invited Paper -- VSM 4.0 (Automated Value Stream Mapping): A Digital Transformation from Lean in the Context of I4.0 -- Part II: Regular Papers -- Passive Detection Beamforming Based on Arc Array -- Shoal Target Recognition Based on Sample Data Enhancement and Target Detection -- Research on the Influence of Aging Information System Optimization Based on Big Data on China’s Rural Revitalization -- Analysis of Hainan Tourism Carbon Balance Information System Based on Big Data -- Power Data Sharing Model Based on Blockchain and IPFS Storage -- A Steady-state Model on Finger-vein Recognition Accuracy -- A Rail Obstacle Target Detection Technology Based on The Perspective of Unmanned Aerial Vehicle -- A Novel Global-local Feature Extraction Method for Football Movement Training -- Remaining Useful Lifetime Prediction Method of Aviation Equipment Based on Improved Particle Filter -- Research on CBRN Practical Assessment Technology Based on Artificial Intelligence Technology -- Research on the Application of Voice Acoustics for Speech Intelligence in Folk Songs -- Acoustic Parameters Analysis of Special Singing Method of Folk Songs for Singing Speech Synthesis -- Simulation of Crop Planting Decision System Based on "U+CSA" Public Welfare Agriculture and Machine Learning Algorithm -- Evaluation Method of Armored Soldier Simulated Training Based on BP Neural Network -- Research on the Shap of Hair Dryer Handle using Fuzzy Theory -- A Scheme for Determining Maintenance Task Priority -- An Improved Channel Assignment and Topology Control Algorithm in Cognitive Radio Networks -- LFPS-hSDN: Link Failure Protection Scheme in Hybrid SDNs -- Fractional Gradient Descent Algorithm for Nonlinear Additive Systems Using Weierstrass Approximation Method -- Design and Implementation of a Low-Code and No-Code Platform Applied in Meteorological Monitoring Service -- Model-data driven fusion method considering charging rate and temperature to predict RUL of lithium-ion battery -- Design of Indoor Air Purification Control System Based on STM32 -- Decentralized Oracle with Mechanism for Reputation and Incentive -- Super-Resolution Reconstruction Based on Kernel Regression Method -- On the Impact of Artificial Intelligence Application on Public Administration -- Research on Civil Aircraft Longitudinal Stability and Maneuverability Flight Test Technology Based on Virtual Flight -- Application of Computer Simulation Technology in Hydraulic Resistance Test of Fire Hose -- Research on Construction of Higher Vocational Teaching Quality Evaluation System Based on BP Neural Network -- Neuro-adaptive Fault-tolerant Control with Prescribed Performance for Nonlinear Systems in Normal Form -- Research on Improved Genetic Algorithm to Optimize PID Parameters of Second-Order System -- Uncalibrated Visual Servoing Using Dynamic Broyden and Least-Squares Methods -- Skyhook Semi-Active Control of Magnetorheological Crankshaft Torsion Damper -- Research and Implementation of 5G Base Station Location Optimization Problem Based on Genetic Algorithm -- Vector Control Strategy of Permanent Magnet Synchronous Motor Based on Fuzzy PID Control -- Track Bolt Wrench Motor BP-Fuzzy Nerve PID Rotate Speed Control -- An MPC-based Drifting Control System for Collision Avoidance in Autonomous Vehicles -- Research on Image Denoising Algorithm Based on Edge Enhancement Sparse Transform and Low-Rank -- An Intelligent Inter-Satellite Ranging System For High-Precision Satellite Constellation Configuration Control.

Abstract: The book includes new research results of scholars from the Third International Conference on Advanced Intelligent Technologies (ICAIT 2022) organized by IRNet International Academic Communication Center, held during October 28–30, 2022. The book covers research work from active researchers who are working on collaboration of industry and various intelligent technologies such as intelligent technologies applicable/applied to manufacturing and distribution of industrial products, factory automation, and business. The topics included are all computational intelligence techniques applicable/applied to industry, intelligent techniques in data science applicable/applied to business and management, intelligent network systems applicable/applied to industrial production, intelligent technologies applicable to smart agriculture, and intelligent information systems for agriculture.

Abstract: Review of Different ML Techniques Used for Heart Disease Prediction -- Image Enhancement by various Segmentation Techniques using Machine Learning -- Sequence to Sequence Video Captioning System -- Stock Price Prediction Using Sentiment Analysis on News Headlines -- A Robust Framework for Governing Blockchain-based Distributed Ledgers during Covid-19 for Academic Establishments -- Cyber Security and it’s Prediction with Cloud Data Computing and IoT -- A Review on Societal Application of Data Analytics -- Study of Security in Cryptocurrency -- Study And Analysis of Network Steganography Methods -- Survey On Driver Fatigue Detection Using Sensors,Big Data Analytics and Machine Learning Techniques -- On Characteristics of κ-Q- Fuzzy Translation and Fuzzy Multiplication in T-Ideals in T-Algebra -- Blockchain driven Smart Healthcare System: Challenges, Technologies and Future Research -- A Future to the Blockchain Technology and Its Concepts -- Impacts of DDoS attacks in Software Defined Networks -- IoT based Agriculture Trend prediction based on Weather Data -- EEG in Optic Nerves Disorder Based on FSVM using Kernel Membership Function -- DDoS DETECTION in ONOS SDN CONTROLLER USING SNORT -- Classification of Keratoconus using Corneal Topography Pattern with Transfer Learning Approach.

Abstract: This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Sixth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2022), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.

Abstract: A Graph based model for Discovering Host-based hook Attacks -- E-Health Care Patient Information Retrieval and Monitoring System Using SVM -- Number Plate Recognition using Optical Character Recognition (OCA) and Connected Component Analysis (CCA) -- Cartoonify an Image with Open cv using Python -- Web Design as an Important Factor in the Success of a Website -- Earlier Selection of Routes for Data Transfer in both Wired and Wireless Networks.

Abstract: This book features high-quality, peer-reviewed research papers presented at the Fifth International Conference on Smart Technologies in Data Science and Communication (SMARTDSC 2022), held Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India, on 16 – 17 June 2022. It includes innovative and novel contributions in the areas of data analytics, communication and soft computing.

Abstract: AI’s Role and Application in Education: Systematic Review -- Digital Service Quality from Elderly Generation Perspective to Improve Online Business and Economy: A Theoretical Framework -- Green Software Product: The Empirical Study on Social Factor and Measurements -- A Systematic Review and Future Perspective of Mental Illness Detection using Artificial Intelligence on Multimodal Digital Media -- E–Service Quality: A Literature Review and Research Trends -- Posture Control of Collaborative Robotic Manipulator Based on Gesture Sensors -- Redefining the museum experiences in the virtual age -- Evaluation of single-stage, two-stage, and anchor-free Object Recognition methods for UAV detection -- An Experimental Study of Machine Learning Algorithms for Predicting Startup Success.

Abstract: This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2022) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.

Abstract: How Predictive Software Engineering Creates Effective Business Solutions Through Custom Software Development -- Roadcast: A Vehicle Incident Management System and Forecasting Implementing Moving Average -- Beak-A-Boo: An Augmented Reality Mobile Application About Endangered Bird Species in the Philippines -- E-commerce Platform with Recommender System and Android Mobile Application -- Geoparks as sites for conservation, education, and development: a bibliometric review -- IoT Smart Irrigation System for Precision Agriculture -- Value Proposal: A Participatory Brand Construction Model -- OCD: On-Demand Ordering Food through Online Crowdsourcing -- Augmented reality in e-commerce: the new era of online shopping.

Abstract: This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2022) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.

Abstract: Status of Research on Networked Distributed Systems -- Moving horizon state estimation for networked systems with Random Packet Loss -- Design of predictive controller for networked systems -- Moving horizon scheduling for networked systems with communication constraints -- Distributed Predictive Control for local performance index -- Coordinated distributed predictive control system -- Distributed Predictive Control under Communication Constraints -- Application of distributed model predictive control in accelerated cooling process.

Abstract: This book focuses on the distributed control and estimation of large-scale networked distributed systems and the approach of distributed model predictive and moving horizon estimation. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. This is achieved by providing an in-depth study on several major topics such as the state estimation and control design for the networked system with considering time-delay, data-drop, etc., Distributed MPC design for improving the performance of the overall networked system, which includes several classic strategies for different scenarios, details of the application of the distributed model predictive control to smart grid system and distributed water network. The comprehensive and systematic treatment of theoretical and practical issues in distributed MPC for networked systems is one of the major features of the book, which is particularly suited for readers who are interested to learn practical solutions in distributed estimation and optimization of distributed networked systems. The book benefits researchers, engineers, and graduate students in the fields of chemical engineering, control theory and engineering, electrical and electronic engineering, chemical engineering, and computer engineering, etc. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

Abstract: Plant Diseases Detection Using Transfer Learning -- Shuffled Frog Leap And Ant Lion Optımızatıon For Intrusıon Detectıon In IOT-Based WSN -- A Comprehensive Alert System Based on Social Distancing for Cautioning People Amidst the Covid19 Pandemic Using Deep Neural Network Models -- An Improved Image Enhancing Technique for Underwater Images by Using White Balance Approach -- Metaverse: The Potential Threats in the Virtual World -- Establishing communication between Neural Network Models. .

Abstract: The book is a compilation of high-quality scientific papers presented at the 4th International Conference on Computer & Communication Technologies (IC3T 2022). The book covers cutting-edge technologies and applications of soft computing, artificial intelligence and communication. In addition, a variety of further topics are discussed, which include data mining, machine intelligence, fuzzy computing, sensor networks, signal and image processing, human-computer interaction, and web intelligence.

Abstract: This book includes original, peer-reviewed research papers from the ICAUS 2022, which offers a unique and interesting platform for scientists, engineers and practitioners throughout the world to present and share their most recent research and innovative ideas. The aim of the ICAUS 2022 is to stimulate researchers active in the areas pertinent to intelligent unmanned systems. The topics covered include but are not limited to Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and Its Application in Unmanned Systems. The papers showcased here share the latest findings on Unmanned Systems, Robotics, Automation, Intelligent Systems, Control Systems, Integrated Networks, Modeling and Simulation. It makes the book a valuable asset for researchers, engineers, and university students alike.

Abstract: This book features research papers presented at the 1st International Conference on Innovations in Data Analytics (ICIDA 2022), held at Eminent College of Management and Technology (ECMT), West Bengal, India, during November 29–30, 2022. The book presents original research work in the areas of computational intelligence, advance computing, network security and telecommunication, data science and data analytics, and pattern recognition. The book is beneficial for readers from both academia and industry. .

Abstract: Chapter 1: Deep Spectral Feature Representations via Attention Based Neural Network Architectures for Accented Malayalam Speech - A Low-Resourced language -- Chapter 2: Improving Tree Based Convolutional Neural Network Model for Image Classification -- Chapter 3: Smartphone Malware Detection based on Enhanced Correlation-based Feature Selection on Permissions -- Chapter 4: Fake News Detection Using Ensemble Learning Models -- Chapter 5: Ensemble Approach for Suggestion Mining Using Deep Recurrent Convolutional Networks -- Chapter 6: A CNN Based Self-Attentive approach to Knowledge Tracing -- Chapter 7: LIPFCM: Linear Interpolation-Based Possibilistic Fuzzy C-Means Clustering Imputation method for handling Incomplete data -- Chapter 8: Experimental Analysis of Two Wheeler Headlight Illuminance Data from the Perspective of Traffic Safety -- Chapter 9: Detecto: The Phishing Website Detection -- Chapter 10: Synergizing Voice Cloning and ChatGPT for Multimodal Conversational Interfaces. etc.

Abstract: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.

Abstract: Hybrid Architecture for Traffic Light Recognition Using Deep CNN and Ensemble Machine Learning Model -- Multi-Step Online Hate Speech Detection and Classification using Sentiment and Sarcasm Features -- Forecasting of Electrical Energy Consumption and Power Generation from Wind Energy Using Deep Learning Algorithms -- IoT-Based Monitoring System for Hydroponics: Design and Implementation -- Review of Single Imputation and Multiple Imputation techniques for handling missing values -- Brain Tumour: Analysis with Resolution Enhancement Methods using Machine Learning Techniques -- Network Intrusion Detection System using Machine Learning -- A Survey on Indian Sign Language Translation using Artificial Intelligence -- Analyzing the Involvement of various Similarity Measures in Trust and Distrust based Recommender System -- A Novel Approach for Detection of Soybean Leaf Disease Using Bayesian Optimized-KNN Classifier with NCA Based Feature Selection -- Survey Paper on Detection of Water Bodies in Satellite Imagery -- A provably secure ECC-based key distribution scheme for secure message transmission in Vehicular Ad hoc Networks -- Approach for Ranking in Recommender System using Hinge Loss Function -- Implementing GANs for image generation and spectral normalization -- Design of Blockchain Mining Algorithms for ASIC Implementation -- Tabular Data Interpretation on Covid-19 Through Explainable Machine Learning -- Comparison of Sentinel and Landsat data sets over Lucknow region using Gradient Tree Boost supervised classifier -- AutoMeta- an Integrated Car Identification System Based on Blockchain -- Recognition and Replacement of Handwritten Text into Digitized Text -- Facial Expression Recognition Based on Convolution Neural Networks and Edge Computing.

Abstract: This book presents best selected papers presented at the International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2023) held from 23 – 24 February 2023 in hybrid mode at C-DAC, Noida, India. The book includes current research works in the areas of artificial intelligence, big data, cyber-physical systems, and security in industrial/real-world settings. The book illustrates on-going research results, projects, surveying works, and industrial experiences that describe significant advances in all of the related areas.

Abstract: Introduction -- The Infrastructure of Smart Grid -- Sensing Technology -- The Communication and Security technology of IoT -- Big Data in Smart Grid and Edge Computing of the IoT -- AMI and DR, The enabling Technologies for Information Processing in the Smart Grid -- Renewable Energy and Microgrid.

Abstract: This book focuses on the key technology applied Internet of things and smart grid, which include some novel ICT technologies such as big data, edge computing, 5G, and wide area wireless communication technology. The mutual penetration, deep integration, and wide application of smart grid and IoT effectively integrate communication infrastructure resources and power system infrastructure resources, further realize energy conservation and emission reduction, improve the level of grid informatization, automation, and interaction, and improve grid operation capacity and quality of service. These key technologies are presented and studied in detail, which help readers deeply understand those key technologies to apply IoT and grid. The book benefits researchers, engineers, and graduate students in the fields of IoT and energy systems, etc.

Abstract: Analysis of Smart Health Monitoring Systems -- Nerve Segmentation using Multi-scale Attention Mechanism-Unet -- A Comparative Study of Register Allocation Algorithms -- Brain Tumor Detection Using Machine Learning -- Restoration of Ancient Kannada Handwritten Palm Leaf Manuscripts with Modified Sauvola Method Using Integral Images.

Abstract: This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 8th International Conference on ICT for Sustainable Development (ICT4SD 2023), held in Goa, India, on August 3–4, 2023. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.

Abstract: This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining, and software analysis. It presents the outcomes of the Seventh International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2023), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.

Abstract: A collection of Hilfer fractional Opial inequalities -- On a nonlinear diffusion model of wood impregnation: Analysis, approximate solutions and experiments with relaxing boundary conditions -- Algorithmic Complexity-based Fractional-order Derivatives in Computational Biology -- Case study of non singular kernel model for MHD boundary layer flow of a rate type fluid over an oscillating plate -- Multi-layer Perceptron Articial Neural Network Approach for Solving Sixth-Order Two-Point Boundary Value Problems -- Wavelet transform on generalized quotient spaces and its applications -- Certain image formulae of the incomplete I-function under the conformable and pathway fractional integral and derivative operators -- Explicit exact solutions and conservation laws of modified α equation -- Some Approximation results on Durrmeyer modication of generalized Szasz-Mirakjan operators -- Fuzzy Approach to Solve General De-Novo Programming Problem.

Abstract: This book is a valuable source for graduate students and researchers and provides a comprehensive introduction to recent theories and applications of mathematical modeling and numerical simulation. It includes selected peer-reviewed papers presented at the 4th International Conference on Mathematical Modelling, Applied Analysis and Computation (ICMMAAC 2021), held at JECRC University, Jaipur, India, during August 5–7, 2021. The book is focused on mathematical modeling of various problems arising in science and engineering and new efficient numerical approaches for solving linear nonlinear problems and rigorous mathematical theories, which can be used to analyze different kinds of mathematical models. Applications of mathematical methods in physics, chemistry, biology, mechanical engineering, civil engineering, computer science, social science, and finance are presented.

Abstract: Wideband Spectrum Compressive Sensing Techniques in Cognitive Radio Networks -- Review of Indian Dynamic Sign Language Recognition System -- Using Convolutional Neural Networks to Detect Compression Algorithms -- A Novel method for diagnosis of Cardiac Disease using ECG Signal based on proposed CNN -- Artificial Neural Network based Tic-Tac-Toe Game -- A CNN based model to forecast the South African unemployment rate -- Simplified Design of IMC Tuned PID Controller for Integrating Process based on Maximum Sensitivity -- Study of decreasing traffic routing system using vanet hybrid ant colony optimization -- Efficient Key Value Encoding for MOLAP Query Processing -- Robust strategy for Optical burst scheduling in WDM Networks through void filling and Segmentation -- Applying partition method to adopt Spark-based Eclat algorithm for large transactional datasets -- Application of ANN to Predict Outlet Water Temperature of Evacuated Water in Tube Type Solar Collector.

Abstract: This book gathers selected papers presented at 4th International Conference on Communication and Computational Technologies (ICCCT 2022), jointly organized by Soft Computing Research Society (SCRS) and Rajasthan Institute of Engineering & Technology (RIET), Jaipur, during February 26–27 2022. The book is a collection of state-of-the art research work in the cutting-edge technologies related to the communication and intelligent systems. The topics covered are algorithms and applications of intelligent systems, informatics and applications, and communication and control systems.

Abstract: Penetration Testing in Application using TestNG Tool -- Empirical Analysis of Psychological Well-Being of Students during the Pandemic with Rebooted Remote Learning Mode -- Handwritten Digit Recognition Using Machine Learning -- A Smart Movie Recommendation System Using Machine Learning Predictive Analysis.

Abstract: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2022), held at tThe Karkonosze University of Applied Sciences, Poland, during June 2022. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.

Abstract: Digital Policies and Innovation: Contributions to Redefining Online Learning of Health Professionals -- Reference Framework for the Enterprise Architecture for National Organizations for Official Statistics: Literature Review -- Assessing the Impact of Process Awareness in Industry 4.0 -- An Overview on the Identification of Software Birthmarks for Software Protection -- The Mayan Culture Video Game – “La Casa Maya” -- Impact of Decentralized and Agile Digital Transformational Programs on the Pharmaceutical Industry, including an Assessment of Digital Activity Metrics and Commercial Digital Activities -- Sprinting from Waterfall: The Transformation of University Teaching of Project Management -- Versioning: Representing Cultural Heritage Ev-idences on CIDOC-CRM via a Case Study -- Towards a Route Optimization Modular System -- Intellectual Capital and Information Systems (Technology): What Does Some Literature Review Say -- REST, GraphQL, and GraphQL Wrapper APIs Evaluation. A Computational Laboratory Experiment.

Abstract: This book includes high-quality papers presented at 16th International Conference on Information Technology and Applications (ICITA 2022), held in Lisbon, Portugal during October 20–22, 2022. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in information technology and applications. The topics covered in the book are cloud computing, business process engineering, machine learning, evolutionary computing, big data analytics, Internet of things and cyber-physical systems, information and knowledge management, computer vision and image processing, computer graphics and games programming, mobile computing, ontology engineering, software and systems modeling, human–computer interaction, online learning / e-learning, computer networks, and web engineering.

Abstract: Impact of Data Centric Approach to Improve the Performance of Leaf Disease Classification -- Evolution, Trends and Future Developments of Business Intelligence -- A Secure Protocol for Authentication and Data Storage for Healthcare System -- OMA-DSS: Ontology Based Multi Agent Decision Support System in Healthcare Domain to Prevent Cardiovascular Diseases -- Innovative Task Scheduling and Allocation Algorithm for E-Governance with Multi-cloud Environment -- Distributed Deep Learning with Data Parallelism for Diabetic Retinopathy Classification -- Sting - A User Governed Crime Alert App -- Classification of Traffic Signal Images using Deep Neural Networks -- Automatic Evaluatıon for Machıne Translatıon -- Evolving Time Series Data Streams: A Review -- Semi-Supervised Medical Image Segmentation on Data from Different Distributions -- Profiling Network Traffic by using Classification Techniques in Machine Learning -- Identification of Cracks in High Rise Buildings Using Drones and Deep Learning -- Wine Quality Prediction Using Machine Learning Techniques -- Wearable Technology with Location Tracking, Health Monitoring, and Attendance Tracking for Employees.

Abstract: This book gathers high-quality papers presented at the Seventh International Conference on Smart Trends in Computing and Communications (SmartCom 2022), organized by Global Knowledge Research Foundation (GR Foundation) from January 24–25, 2023, in Jaipur, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.

Abstract: This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Seventh International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2023), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.

Abstract: Decision Intelligence & Data Science -- AI For Decision Making -- AI For Decision Making -- AI For Decision Making.

Abstract: This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (InCITe-2023). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in decision intelligence, deep learning, machine learning, artificial intelligence, data science, and enabling technologies for IoT, blockchain, and other futuristic computational technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks and intelligence, decision-making and modeling, information systems, and IT architectures. This book provides a valuable resource for those in academia and industry.

Abstract: The book presents high-quality research papers presented at 4th International Conference on Intelligent Computing and Advances in Communication (ICAC 2021) organized by Siksha ‘O’ Anusandhan, Deemed to be University, Bhubaneswar, Odisha, India, in November 2021. This book brings out the new advances and research results in the fields of theoretical, experimental, and applied signal and image processing, soft computing, networking, and antenna research. Moreover, it provides a comprehensive and systematic reference on the range of alternative conversion processes and technologies.

Abstract: Hybrid Precoding based on Machine -Learning for Millimeter-Wave System -- Applying Predictive Analysis Methods for Detection of Driver Drowsiness -- Comparative Analysis of Various Supervised Machine Learning Techniques Used for Sentiment Analysis on Tourism Reviews -- An Enhanced Machine Learning Classification System to Investigate the Status of Micronutrients in Rural Women -- Advanced Hydroponics Fodder System with Temperature Control using Arduino.

Abstract: This book is a collection of high-quality peer-reviewed research papers presented at International Conference on Recent Trends in Computing (ICRTC 2021) held at SRM Institute of Science and Technology, Ghaziabad, Delhi, India, during 4 – 5 June 2021. The book discusses a wide variety of industrial, engineering and scientific applications of the emerging techniques. The book presents original works from researchers from academic and industry in the field of networking, security, big data and the Internet of things.

Abstract: Part 1: Artificial Intelligence for Detection and Prediction -- Chapter 1. ColorNet: A Deep Learning Based Approach to Colorize the Historical Documentaries of Bangladesh -- Chapter 2. A Methodology for Recommending In-Vehicle Coupons Incorporating Machine Learning Algorithms for Efficient Financial Schemes -- Chapter 3. A Deep Convolutional Neural Network-Based Approach to Classify and Detect Crack in Concrete Surface Using Xception -- Chapter 4. Machine Learning-based Physical Exercise Identification with Heuristic Optimized Features Prioritization -- Chapter 5. Modelling Lips-State Detection Using CNN for Non-Verbal Communications -- Chapter 6. Depression Level Prediction during Covid-19 Pandemic among the People of Bangladesh using Ensemble Technique: MIRF Stacking and MIRF Voting -- Chapter 7. HandFruitNet: A Deep Learning Based Model for Fruits Classification from Hand -- Chapter 8. Entrepreneurship education and entrepreneurial intention of business graduates: Does Artificial Intelligence matter? -- Chapter 9. COVID-19 Chest X-Ray Classification with Augmented GAN -- Part 2: Artifical Intelligence for Smart City Applications -- Chapter 10. Computer Vision-based Waste Detection and Classification for Garbage Management and Recycling -- Chapter 11. A System dynamics approach of decisive policy measures for sustainable municipal solid waste management in Khulna city of Bangladesh -- Chapter 12. Prediction of Soil Nutrients using Hyperspectral Satellite Imaging -- Chapter 13. A Machine Learning Approach to Season Prediction Based on Agricultural Input Orders -- Chapter 14. Assessment of Water Quality in Smart City Environment Leveraging ML-IoT -- Chapter 15. Smart IoT-Biofloc water management system using Decision regression tree. etc.

Abstract: This book includes papers in the research area of artificial intelligence, robotics and automation, IoT smart agriculture, data analysis and cloud computing, communication and technology, and signal and natural language processing. The book is a collection of research papers presented at the First International Conference on Fourth Industrial Revolution and Beyond (IC4IR 2021) organized by University Grants Commission of Bangladesh in association with IEEE Computer Society Bangladesh Chapter and Bangladesh Computer Society during December 10–11, 2021.

Abstract: This book includes original, peer-reviewed research papers from the ICAUS 2021, which offers a unique and interesting platform for scientists, engineers and practitioners throughout the world to present and share their most recent research and innovative ideas. The aim of the ICAUS 2021 is to stimulate researchers active in the areas pertinent to intelligent unmanned systems. The topics covered include but are not limited to Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and Its Application in Unmanned Systems. The papers showcased here share the latest findings on Unmanned Systems, Robotics, Automation, Intelligent Systems, Control Systems, Integrated Networks, Modeling and Simulation. It makes the book a valuable asset for researchers, engineers, and university students alike.

Abstract: Performance Evaluation of an IoT Edge-based Computer Vision Scheme for Agglomerations Detection Covid-19 Scenarios -- Comparative Analysis of Classification and Detection of Breast Cancer from Histopathology Images using Deep Neural Network -- Determining Key Performance Indicators for a Doctoral School. .

Abstract: This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2021), organized by the Computer Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 26–27, 2021. The book includes innovative and novel papers in the areas of intelligent computing, artificial intelligence, machine learning, deep learning, fuzzy logic, natural language processing, human–machine interaction, big data mining, data science and mining, applications of intelligent systems in health ,care, finance, agriculture and manufacturing, high-performance computing, computer networking, sensor and wireless networks, Internet of Things (IoT), software-defined networks, cryptography, mobile computing, digital forensics, and blockchain technology. .

Abstract: A convolutional neural network for artifacts detection in EEG data -- Real-World Protein Particle Network Reconstruction Based on Advanced Hybrid Features -- Improving Coronavirus (COVID-19) Diagnosis using Deep Transfer Learning -- Beard and Hair Detection, Segmentation and Changing Color Using Mask R-CNN -- Transfer Learning Method with Deep Residual Network for Covid-19 Diagnosis Using Chest Radiographs images -- Deep Learning Approach for COVID-19 Diagnosis Using X-Ray Images -- A hybrid approach for classifying Parkinson’s Disease from brain MRI -- Analysis of Generative Adversarial Networks for Data Driven Inverse Airfoil Design -- Deep Oversampling Technique for 4-level Acne Classification in Imbalanced Data -- Decentralisation of FinTech Business Models -- Dynamic Offloading in Fog Computing: A Survey -- A Vietnamese Festival Preservation Application -- Knowledge Models For Software Testing In Robotics -- Performance Enhancement of SAC-OCDMA System Using an Identity Row Shifting Matrix Code -- Malware Prediction using using LSTM Networks -- Personalised Combination of Multi-source Data for User Profiling -- The teaching of technical design in technical courses in Computer Graphics at Federal Institutes of Education, Science and Technology.

Abstract: This book includes high-quality papers presented at 15th International Conference on Information Technology and Applications (ICITA 2021), held in Dubai, UAE during 13 – 14 November 2021. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in information technology and applications. The topics covered in the book are cloud computing, business process engineering, machine learning, evolutionary computing, big data analytics, internet of things and cyber-physical systems, information and knowledge management, computer vision and image processing, computer graphics and games programming, mobile computing, ontology engineering, software and systems modelling, human computer interaction, online learning / e-learning, computer networks, and web engineering.

Abstract: Part 1: Artificial Intelligence for Sustainability -- Chapter 1. Detection of Human Activities in Wildlands to prevent the Occurrence of Wildfires using Deep Learning and Remote Sensing -- Chapter 2. The evolution of the traffic congestion prediction and AI application -- Chapter 3. Tomato Plant Disease Detection And Classi cation Using Convolutional Neural Network Architectures Technologies -- Chapter 4. Generative and Autoencoder Models for Large-Scale Mutivariate Unsupervised Anomaly Detection -- Chapter 5. Automatic Spatio-Temporal Deep Learning Based Approach for Cardiac Cine MRI Segmentation -- Chapter 6. Skin Detection Based on Convolutional Neural Network -- Chapter 7. CRAN: An Hybrid CNN-RNN Attention-Based Model for Arabic Machine Translation -- Chapter 8. Impact of the CNN patch size in the Writer Identification -- Part 2: Network & Cloud Technologies -- Chapter 9. Optimization of a multi-criteria cognitive radio user through autonomous learning -- Chapter 10. MmRPL: QoS aware routing for Internet of Multimed Things -- Chapter 11. Channel Estimation in Massive MIMO Systems for Spatially Correlated Channels with Pilot Contamination -- Chapter 12. On Channel Estimation of UpLink TDD Massive MIMO Systems through different Pilot Structures -- Chapter 13. NarrowBand-IoT and eMTC towards Massive MTC: Performance evaluation and comparison for 5G mMTC -- Chapter 14. Integrating Business Intelligence with Cloud Computing: State of the art and Fundamental Concepts -- Chapter 15. Distributed Architecture for Interoperable Signaling Interlocking.

Abstract: This book gathers best selected research papers presented at the International Conference on Networking, Intelligent Systems and Security, held in Kenitra, Morocco, during 01–02 April 2021. The book highlights latest research and findings in the field of ICT, and it provides new solutions, efficient tools, and techniques that draw on modern technologies to increase urban services. In addition, it provides a critical overview of the status quo, shares new propositions, and outlines future perspectives in networks, smart systems, security, information technologies, and computer science.

Abstract: Predictive Analytics for real time Agriculture Supply Chain Management: A novel pilot study -- Analysis and Prediction of Crop Infestation Using Machine Learning -- ECG based Personal Identification System -- Explorations in Graph-based Ranking Algorithms for Automatic Text Summarization on Konkani Texts -- Demography Based Hybrid Recommender System for Movie Recommendations -- Holistic Recommendation System Framework For Health Care Programs -- A synthetic data generation approach using correlation coefficient and neural networks -- Cepstral Coefficient based Gender Classification using Audio signals.

Abstract: This volume presents select proceedings of the International Conference on Sustainable Advanced Computing (ICSAC – 2021). It covers the latest research on a wide range of topics spanning theory, systems, applications, and case studies in advanced computing. Topics covered are machine intelligence, expert systems, robotics, natural language processing, cognitive science, quantum computing, deep learning, pattern recognition, human-computer interface, biometrics, graph theory, etc. The volume focuses on the novel research findings and innovations of various researchers. In addition, the book will be a promising solution for new generation-based sustainable, intelligent systems that are machine and human-centered with modern models and appropriate amalgamations of collaborative practices with a general objective of better research in all aspects of sustainable advanced computing. .