Abstract: Automobile Parts Classification using Deep Learning based Ensemble Model -- Admission Prediction for Higher Studies in Foreign Universities -- Factors Influencing Employee Satisfaction in Workplace: A Study conducted in the Sonali Life Insurance Company Limited -- Detection of Abductors using Machine Learning Algorithms -- Vehicle Registration using Blockchain and JSON web token for Authentication on Restful Web Service from India Perspective -- Smart Grading System for Evaluating typed Text Answers Using Ensemble Machine-Learning techniques -- Ethereum Blockchain Based KYC Verification -- Crime Rate Prediction Using Machine Learning Techniques -- Comparative Study of various Machine Learning Algorithms for American Sign Language Recognition -- Species Identification of Birds Via Acoustic Processing Signals Using Recurrent Network Analysis (RNN) -- Performance Evaluation of ML algorithms for Diabetes Prediction -- Office Management Chatbot using Artificial Intelligence -- Artificial intelligence based coronary heart disease Prediction in real time scenarios -- Milk Adulteration Monitoring and Detection Using IoT -- Multi Layered Object Identification and Detection using Deep CNN Detector -- ANN-Based Resource Scheduling Mechanism in Hybrid Cloud Computing Environment -- Comparison And Performance Evaluation of Fusion Mechanismfor Audio-Video Based Multimodal Emotion Recognition -- E-Commerce Customer Segmentation By Unsupervised Learning -- Analyzing Sentiment of Stock Market Data from twitter using Machine Learning and Deep Learning Techniques -- Transformer-based Chest X-ray Report Generation Model -- Chat Bot for Banking Sector Using NLP and ML -- Deep Learning-based proposed approach for low-dose CT scan based early detection of lung cancer -- Spam Detection using Deep Learning Approaches for Social Media Data -- Review on Design Generation, Defect Detection and Identification of Handloom Cloths using Deep Learning.

Abstract: This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Sixth International Conference on Soft Computing and Signal Processing (ICSCSP 2023). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.

Abstract: Review Of Integrated Dashboard Model For Performance Measurements -- An Empirical Analysis Of Lung Cancer Detection And Classification Using CT Images -- Species Identification Of Birds Via Acoustic Processing Signals Using Recurrent Network Analysis (RNN) -- Optimized Analysis Of Emotion Recognition Through Speech Signals -- Estimation Of Impurities Present In An Iron Ore Using CNN -- Convolutional Neural Network And Recursive Feature Elimination Based Model For The Diagnosis Of Mild Cognitive Impairments -- Secure Identity Based Authentication For Emergency Communication -- IOT-Based Smart Wearable Devices Using Very Large Scale Integration (VLSI) Technology -- Camera And Voice Control Based Human Computer Interaction Using Machine Learning -- Anomaly Detection In Classroom Using Convolutional Neural Networks -- Efficient Vlsi Architectures Of Multimode 2D Fir Filter Bank Using Distributed Arithmetic Methodology -- A Systematic Study And Detailed Performance Assessment Of SDN Controllers Across A Wide Range Of Network Architectures -- An Image Processing Approach For Weed Detection Using Deep Convolutional Neural Network -- Trust And Secured Routing In Mobile AD HOC Network Using Block Chain -- Underwater Image Quality Assessment And Enhancement Using Active Inference -- A Machine Learning And Deep Learning Based Web Application For Crop And Fertilizer Recommendation And Crop Disease Prediction -- The Hybrid Model Of LSB – Technique In Image Steganography Using Aes And Rsa Algorithm -- Secure Trust Based Attribute Access Control Mechanism Using FK-MFCMC AND MOEHO-XGBOOST Techniques -- Designing Multiband Patch Antenna For 5G Communication System -- Applications Of AI Techniques In Healthcare And Wellbeing Systems -- Intelligent One Step Authentication Using Machine Learning Model For Secure Interaction With Electronic Devices -- Development Of Automated Vending Machine For The Application Of Dispensing Of Medicines -- Multiband Micro-Strip Patch Antenna For C/X/KU/K Band Applications -- Islanding Detection And Prevention Of Blackout Of Distribution System Using Decision Tree Algorithm Based Load Shedding -- Propogation Of Computer Worms – A Study.

Abstract: This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Sixth International Conference on Soft Computing and Signal Processing (ICSCSP 2023). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.

Abstract: PV Array System Stimulation Affected By Variability in Temperature & Location -- A Real-Time Cataract Detection And Diagnosis Through Web-Based Imaging Analysis -- A Survey of Decentralized Digital Voting System using Blockchain Technology -- Multiple Infectious Disease Diagnosis and Detection using Advanced CNN Models -- Development of Indoor Autonomous Mobile BOT for Static Obstacle Avoidance -- Forest Fire Detection and Prediction using HSV and MLP -- An Insight into recent advances in the Intelligent Controller Methods -- Some Observations on Social Media Mining tools for Health Applications -- Smart Contact Lenses for Monitoring Patient’s Vision : A Generic Review -- Liver lesion detection from MR T1 In-phase and Out-phase Fused Images and CT Images using YOLOv8 -- Analyzing Blockchain Data to Detect Bitcoin Addresses Involved in Illicit Activities using Anomaly Detection -- Comparing Spring Boot and ReactJS with other Web Development Frameworks: A Study -- Performance Analysis of InceptionV3, VGG16, Resnet50 models for crevices recognition on surfaces -- A Machine Learning Approach for Moderating Toxic Hinglish Comments of YouTube Videos -- Instant Accident Detection and Emergency Alert System -- A Novel Approach to Video Summarization using AI-GPT and Speech Recognition -- Classification of Underwater Fish Species using Custom-Built Deep Learning Architectures -- Deep Learning Based Approach for Plant Disease Classification -- Prediction of liver disease using Machine Learning Algorithms -- Analysis of Detection of Glioma by Segmentation of Brain Tumor MRI images using Deep Learning -- CloneAI : A Deep Learning Based Approach for Cloned Voice Detection -- Analyzing the Performance and Wireless Network Capacity of NOMA: Study of the Impact of OMA and NOMA on 5G Network -- Malarıa Parasıte Detectıon Usıng Deep Neural Networks -- IoT-based Agriculture: Identification and Classification of Apple Quality Using Deep Learning -- Plant Disease Detection on Edge Devices -- Analyze the Quality of Wine based on Machine Learning Approach -- Safeguarding financial transaction with Cryptocurrency -- Analysis and control of Dual Active Bridge Converter for Vehicle to load application in electric vehicle -- Efficient Plant Leaf Disease Detection using a Customized Convolutional Neural Network -- Analyzing and Predicting Temperature Trends in a Metropolitan Area Using Time Series Analysis and Machine Learning Techniques -- An Explainable AI (XAI) Based Framework for Detecting Diseases in Paddy Crops -- De-noising Tail Entity Selection in Automatic Question Generation with Fine-tuned T5 Model -- Hybridization of Artificial Gravity Cuckoo Search Algorithm with XGboost- Particle Swarm Optimized Neural Networks for Cardiac Feature Selection -- Urdu Sentiment Analysis: A Review -- Fir Filter Design Using Distributed Arithmetic With Lookup Tables (LUTs) -- Classification of Brain Tumour disease with Transfer learning using modified pre-trained deep convolutional neural network -- Bayesian Optimized Traffic Sign Recognition on Social Media Data Using Deep Learning -- Enhancing the Performance of PSO Algorithm for Clustering High dimensional data using Autoencoders -- Predicting Covid-19 Outbreaks: Leveraging Machine Learning and Deep Learning Models for Trend Analysis -- Stock Price Prediction using Sentiment Analysis on Financial News -- A modified self organizing map with mean-shift clustering for seismicity analysis of earthquake catalogs -- Adopting Blockchain Technology for Smart Farming and Food Security.

Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

Abstract: Climate Change Parameter Dataset (CCPD): A Benchmark Dataset for Climate Change parameters in Jammu and Kashmir -- Brain Tumor Classification Using Deep Learning Techniques -- Machine learning Based Hardware Trojans Detection in Integrated Circuits: A Systematic Review -- Impact of Techno Stress on Employee Retention and Employee Turnover -- Single image dehazing using DCP with varying scattering constant -- Detecting IoT malware using federated learning -- A Deep learning approach for BGP security Improvement -- Wireless Sensor Network Protocols in Underwater Communication -- A Genetic Algorithm Approach for Portfolio Optimization -- Security Issues and Solutions in Post Quantum Authenticated Key Exchange for Mobile Devices -- Towards Decentralized Fog Computing: A comprehensive review of Models, Architectures, and Services -- Analysis of various MAC protocol 802.11 AX -- Monkeypox Disease Classification Using HOG-SVM Method -- A Deep Learning Model for Automatic Recognition of Facial Expressions using Haar Cascade Images -- Sensing Performance Analysis using Choatic Signal based SCMA Codebook For Secure Cognitive Communication System in 5G -- Identification of severity level for diabetic retinopathy detection using neural networks -- Metaheuristic optimized BiLSTM univariate time-series forecasting of gold prices -- Improvised Neural Machine Translation Model for Hinglish to English -- Recording of Class Attendance using DL Based Face Recognition Method -- Machine Learning Enabled Hairstyle Recommender System using Multilayer Perceptron -- Automated Health Insurance Management Framework with Intelligent Fraud Detection, Premium Prediction and Risk Prediction -- Responsible Artificial Intelligence for Music Recommendation -- A robot mapping technique for indoor environments -- A Novel Approach to Docking System for Autonomous Unmanned Aerial Vehicles -- Predicting Brain Tumor Survival using MRI Images and Machine Learning Techniques -- Intelligent Approaches of Clinical and Nonclinical Type-1 Diabetes Data Analysis -- A Learning-Based Approach For Wafer Defect Detection In Production Quality Control -- Setting Importance of Features through Means and Majority of Outcomes of Machine Learning Algorithms: An Empirical Analysis -- A Study of Simulated Working of A* and RRT* for Cargo Ship in ASVs -- ESFMS: Design of an Ensemble Sentiment analysis model for Feedback evaluation via Multimodal feature Selection process -- Towards Transfer Learning based Human Anomaly Detection in Videos -- Speech Signal Analysis Using Hybrid Feature Extraction Technique for Parkinson’s Disease Prediction -- Dataset Construction and Evaluation for Aspect-Opinion Extraction in Bangla Fine-grained Sentiment Analysis -- Improving Speaker Gender Detection by Combining Pitch and SDC -- Sentiment Analysis of Covid-19 Lockdown in India -- Applications of Smart Agriculture and an Automated Irrigation System Based on the Internet of Things -- Sensitivity of stock pricing to the optimistic and pessimistic sentiment of social media: A shreds of evidence from Nifty Indices -- Revolutionizing Cardiac Care: A Comprehensive Review of ECG-based Arrhythmia Prediction Techniques -- Yoga Posture Estimation and Correction using Mediapipe & Deep Learning Models -- Random Modulus Decomposition for Color Images Optical Asymmetric Cryptosystem Using Gyrator Domain -- A Single Line 8T SRAM Bit Cell with Robust Read, Hold Stability and Low Power -- Improving Chronic Kidney Disease Prediction using ANN with Normalization.

Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

Abstract: The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2023), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during June 27–28, 2023. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.

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: Crop Classification Using Deep Learning on Time Series SAR Images: A Survey -- Improvement of the Teaching-Learning Process using Feature-Driven Opinion Mining of Stakeholders Comments -- Safeguarding Privacy and Security in the Internet of Vehicles: Current and Emerging Strategies -- Two Factor Authentication for Internet of Drones using PUF and Blockchain -- REXOBOT- Simplifying Rescue Operations using Arduino -- Design and analysis of a dual-band wearable antenna integrated with an AMC reflector for biomedical applications -- An optimized approach for Sarcasm Detection using Machine learning Classifier -- Medical Image segmentation Using Deep Learning Method -- Implementation of Solar Array Integration with PID & MPPT(P&O) Incorporating Input Variations -- Cemetery Allocation Management System Using Ethereum Blockchain -- An Efficient Predictive Resource Analysis using Deep Dyna Q-based VARMA LSTM Model for Fluctuating Cloud Workloads -- SIW based H-plane dual horn radiator for next generation wireless communication -- RNN based model predictive control of multi agent system using switching topologies -- LDCCAES: A Concomitant Perception Methodology Facilitating Real-Time Detection and Estimation of Medifan-Lane Positioning for Prototype Autonomous Vehicle -- Enhancing Federated Learning Performance for IoT Anomaly Detection under Label-Skewed Data -- Panel Data Analysis to Investigate Factors Influencing Profitability: Empirical Study on Indian Oil and Gas Companies -- Predictive Modeling for Marketing Strategies: A Case Study of a Superstore’s Gold Membership Offer using Advanced Analytics and Machine Learning Techniques -- Design and Development of energy harvesting system for wireless local area Network -- Hybrid Principal Component Analysis Using Boosting Classification Techniques: Categorical Boosting -- Moth swarm algorithm with centre-based sampling technique for the optimal operation of a hybrid power system incorporating static synchronous compensator -- Land use and land Change detection of the eco system by processing Sentinel images -- An Enhanced Laryngeal Tissue Classification Model Using Deep Learning Techniques -- Machine Learning-based Detection of API Security Attacks -- A Comparative Study on End-to-End Learning for Self-Driving Cars -- Climatological Rainfall Forecasting using LSTM: An Analysis of Sequential Input and Data Window Input Approaches -- Enhancing Anonymity of Internet of Vehicle Identities in Connected Vehicle Security Services Using Batch Verification Algorithm -- A Deep Learning based Framework for Android Malware Family Classification -- iCardo 3.0: A Machine Learning Framework for Prediction of Conduction Disturbance in Heart -- ANDROID-BASED MALARIA DETECTION USING DEEP LEARNING -- Recuperating Image Captioning with Genetic Algorithm and Red Deer Optimization: A Comparative Study -- A Radial Basis Function Neural Network trained with Aquila Optimizer for Solving Inverse Modeling Problems -- Future Generation Elastic Optical Networks: A State-of-Art Review -- Empirical analysis on fake news detection using feature extraction & feature optimization techniques -- Enhancing the Performance of Heart Disease Prediction Models with Ensemble Learning -- Towards a Person-Job-Fit Recruitment: Job Prediction with Deep Neural Networks based on Various Pre-trained Models -- Hyperparameter Optimization of Machine Learning Models using grid search for Amazon Review Sentiment Analysis -- Towards the testbed and dataset for analysis of water treatment systems security -- Accurate Prediction of Stage of Hepatitis C Virus through a Stacking Ensemble -- Alzheimer Brain Imaging Dataset Augmentation using Wasserstein Generative Adversarial Network -- FireNet-Tiny: Very-Low Parameter Count High Performance Fire Detection Model -- 2D Medical Image Segmentation.

Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

Abstract: Comparative Analysis of various SRAM bit cells for 32nm technology node -- Uncovering the Threat: Exploring Covert Channel Attacks via Audio Files in Android Applications -- Emotion Recognition through Facial Expressions from Images using Deep Learning Techniques -- Optimization of Process Parameters In The Abrasive Waterjet Machining Using Bees Algorithm -- Advancement on Steganography: A Review -- Ethereum Blockchain For Private Equity Crowdfunding : Enabling Seamless USDC and Share Token Transactions -- Graph Convolutional Neural Network for IC50 Prediction Model using Amyotrophic Lateral Sclerosis Targets -- Cardiovascular Disease Prediction using Deep Learning Models -- Classification of Skin Cancer Using Integrated Methodology -- Identification of Mycobacterium Tuberculosis Employing VGG-16 Feature Extraction and Classification Using Prominent Machine Learning Classifiers on X-rays -- Cyber - Crime Analysis of India using Machine Learning -- Mapping a Conceptual Model of Color Forecasting: A Review of Machine Learning Algorithms for Enhanced Prediction Accuracy and Efficiency -- Estimation of Net Primary Productivity using CASA Biosphere Model in Hyderabad and Roorkee Region of India -- Machine Learning Models for Chronic Renal Disease Prediction -- ARTHRO - Knee Osteoarthritis Detection Using Deep Learning -- Improvised Real Time Tweet Analysis for Brand Recognition -- AI Based Facial Emotion Recognition -- Improved Genetic Algorithm in a Static Environment for the Robotic Path Planning Problem -- Development of An Event-based Dataset For Abnormal Activity Detection -- Media Text Analysis based on One-Dimensional Hashtag Embeddings -- Occluded Face Recognition using Non-global Features Extraction and K-means Clustering Algorithm -- Brain Tumor Segmentation Using Gaussian Based U-Net Architecture -- Utility of smoothing techniques in yield curve modeling for non-steady state data of Sri Lanka capital market -- WSN based secure and energy efficient smart parking management system (SPMS)using FFA-ANN -- Multilingual approach to decode Shree Rama Prashanavali using Character Recognition and String Matching -- An enhanced approach for automatic sound event detection using neural networks -- Detecting Issues Related to Environmental, Social, and Corporate Governance using SEC-BERT -- Comprehensive Analysis of Deep Learning Models for Brain Tumor Detection from Medical Imagine -- Face Counting based on pre-trained machine learning models: A brief systematic review -- A Machine Learning - Driven Soil Nutrient, and Crop Yield Recommendation Platform with Pesticide Suggestions -- A Machine Learning Approach to optimize the water consumption for irrigation of rice crop -- Raithubot: An RLHF-Finetuned Telugu Chatbot for Farmers -- UAV Enabled Systems for Industry 4.0: Applications and Challenges -- User Reception is Everything: Using a Neural Network to Predict iOS App Ratings -- A Survey of Motion Prediction for Autonomous Vehicles using the Lyft Dataset -- Dengue Fever Outbreak Prediction using Machine Learning Models: A Comparative Study Dengue Fever -- Improved Appearance Model for Handling Occlusion in Vehicle Tracking -- Enhanced Dynamic Vehicle Detection and Tracking to Improve the Quality of Image Processing using Deep Learning -- Construction of Substitution Box from Nordstrom-Robinson (N16) Code -- Natural Language to Unified Modeling diagrams A Deep Learning Approach -- Time-dependent Enhanced Personalized Semantic Map-based Transportation Mode Recommendation System -- Web Based Threat Identification Using Classification Algorithm.

Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

Abstract: This book features research papers presented at the Second International Conference on Recent Advancements in Artificial Intelligence (ICRAAI 2023), held at Poornima University, Jaipur, India during 15 – 16 December 2023. The book presents original research work in the areas of computational intelligence, artificial intelligence, machine learning, data science and data analytics, cloud computing, and internet of things. The book is beneficial for readers from both academia and industry.

Abstract: The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2023), held online at UNITAR International University, Malaysia during December 4–5, 2023. This book presents current research and applications of data science and emerging technologies. The topics covered are artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.

Abstract: This book presents high-quality research papers presented at the 5th International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2023) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, during October 21–22, 2023. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.

Abstract: This book presents the proceedings of the ASEAN-Australian Engineering Congress (AAEC2022), held as a virtual event, 13–15 July 2022 with the theme “Engineering Solutions in the Age of Digital Disruption”. The book presents selected papers covering scientific research in the field of Engineering Computing, Network, Communication and Cybersecurity, Artificial Intelligence & Machine Learning, Materials Science & Manufacturing, Automation and Sensors, Smart Energy & Cities, Simulation & Optimisation and other Industry 4.0 related Technologies. The book appeals to researchers, academics, scientists, students, engineers and practitioners who are interested in the latest developments and applications related to addressing the Fourth Industrial Revolution (IR4.0).

Abstract: An Artificial Intelligence Based Model for the Detection of Heart Disease Using Machine Learning -- Recent Advancements in AI-Assisted Drug Design and Discovery Systems -- Designing Dense-Healthcare IOT Networks for Industry 4.0 Using AI based Energy Efficient Reinforcement Learning Protocol -- The Impact of Artificial Intelligence on Healthcare -- Brain Tumor Segmentation of MR Images Using SVM and Fuzzy Classifier in Machine learning.

Abstract: This book presents different stages of Industrial Revolution in artificial intelligence and its impact on industry 4.0 and Healthcare. It contains chapters prepared for the industrial landscape which is being transformed to the fourth stage with the rise of autonomous robots, contemporary automation, cyber-physical systems, the Internet of things, and the Internet of services for examining the circumstances of health care system for the future. It highlights the emerging trends in integration of different intelligent manufacturing systems and advanced information technologies. Additionally, understanding of the real-world issues using artificial intelligence and the solutions discussed in this book help the enormous numbers of techniques which can be applied for effective diagnosis and predicting diseases from health care data.

Abstract: Generation of All Rooted Ordered Trees -- Quasistatic Computation and Thermodynamic Approach -- Augmentation of Mixing Quality and Its Analysis based on Electrode Shape Diversity in Digital Microfluidic Biochips -- Prediction of Student Performance in Online Classes Using Machine Learning -- Diabetes Syndrome Prophecy Using Machine Learning.

Abstract: This book features a collection of high-quality research papers presented at the 10th International Symposium on Applied Computing for Software and Smart systems (ACSS 2023), to be held during September 15–16, 2023, in Kolkata, India. The book presents innovative works by undergraduate, graduate students as well as Ph.D. scholars. The emphasis of the workshop is on software and smart systems and research outcomes on other relevant areas pertaining to advancement of computing.

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: 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: Improving River Streamflow Forecasting utilizing Multi-layer Perceptron-based Butterfly Optimization Algorithm -- Covid-19 Contact Tracing Using Low Calibrated Transmission Power from BLE – Approach & Algorithm Experimentation -- Monitoring loud commercials in television broadcast -- Potential Customers Prediction in Bank Telemarketing -- Analysis and implementation of normalization techniques on KDD'99 Dataset for Detect and Prevent Intrusion on Network -- Deep Neural Networks Predicting Student Performance -- An Efficient Group Signature Scheme based on ECDLP -- Sentiment Analysis of COVID-19 tweets using TextBlob and Machine Learning classifiers - An evaluation to show how COVID -19 opinions is influencing psychological reactions of people‘s behaviour in social media.

Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

Abstract: Cancer Prognosis by Using Machine Learning and Data Science: A systematic review -- Understanding Agriculture Scenario of Punjab: A Qualitative Research of Crop parameter in relation to fertilizer usage -- Face Detection Based Border Security System Using Haar-Cascade and LBPH Algorithm -- Proposed Experimental Design of a Portable COVID-19 Screening Device Using Cough Audio Samples -- Big Data Framework for Analytics Business Intelligence -- Technological Impacts of AI on Hospitality and Tourism Industry -- Improvement of Real-Time Kinematic Positioning Using Kalman Filter-Based Singular Spectrum Analysis during Geomagnetic Storm for Thailand sector.

Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

Abstract: Part I: Artificial Intelligence -- Extractive Text Summarization Using Syntactic Sub- Graph Models -- Analysis of Big Five Personality Factors to determine the Appropriate Type of Career using the C4.5 Algorithm -- Predicting Disaster Type from Social Media Imagery via Deep Neural Networks Directed by Visual Attention -- Dissemination Management for Official Statistics Using Artificial Intelligence-Based Media Monitoring -- Part II: Computational Vision -- A Naive but Effective Post-Processing Approach for Dark Channel Prior (DCP) -- COVID-19 Face Mask Classification Using Deep Learning -- Gender Classification Using Transfer Learning and Fine-Tuning -- Multi-Language Recognition Translator by Using the Convolutional Neural Network (CNN) Algorithm and Optical Character Recognition (OCR) -- Autonomous Driving Through Road Segmentation Based on Computer Vision Techniques -- Part III: Cybersecurity -- Phishing Attack Types and Mitigation: A Survey -- A Review of Privacy Protection Methods for Smart Homes Against Wireless Snooping Attack -- Development of Graph-Based Knowledge on Ransom-Ware Attacks Using Twitter Data -- Part IV: Big Data Analytics -- BigMDHealth: Supporting Multidimensional Big Data Management and Analytics over Big Healthcare Data via Effective and Efficient Multidimensional Aggregate Queries over Key-Value Stores (Prof Alredo's paper) -- Design and Implementation of Data Warehouse Solution at Kumpulan Wang Persaraan (KWAP) -- Consumer Behavior Prediction During Covid-19 Pandemic Conditions Using Sentiment Analytics -- Big Data Application on Prediction of HDD Manufacturing Process Performance -- Visualising Economic Situation Through Malaysia Economic Recovery Dashboard (MERD) -- Part V: Machine/Deep Learning -- Lung Nodules Classification Using Convolutional Neural Network with Transfer Learning -- Plant Growth Phase Classification Using Deep Neural Network -- The Implementation of Genetic Algorithm-Ensemble Learning on QSAR Study of Diacylglycerol Acyltransferase-1(DGAT1) Inhibitors as Anti-Diabetes -- Classification of Exercise Game Data for Rehabilitation Using Machine Learning Algorithms -- SDDLA: A New Architecture for Secured Decentralized Distributed Learning -- Gated Memory Unit: A Novel Recurrent Neural Network Architecture for Sequential Analysis -- Multi-Class Classification for Breast Cancer with High Dimensional Microarray Data Using Machine Learning Classifier -- Predicting Risks of Late Delivery to Online Shopping Customers Using Machine Learning Techniques -- Quora Insincere Questions Classification Using Attention Based Model -- Suicide Ideation Detection: A Comparative Study of Sequential and Transformer Hybrid Algorithms -- Well Log Data Preparation and Effective Utilization of Drilling Parameters Using Data Science Based Approaches -- Deep Learning-Based Approach for Classifying the Severity of Metal Corrosion Using SEM Images -- Insurance Risk Prediction Using Machine Learning -- Loan Default Forecasting Using StackNet -- Part VI: Statistical Learning -- Neural Network Autoregressive Model for Forecasting Malaysia Under-5 Mortality -- Robustness of Support Vector Regression and Random Forest Models: A Simulation Study -- The Impact of Restrictions Community Activities on COVID-19 Transmission: A Case Study in Sumatra Island, Indonesia -- Predicting Internet Usage for Digital Finance Services: Multitarget Classification Using Vector Generalized Additive Model with SMOTE-NC -- Part VII: Text Mining and Classification -- Identifying Topic Modeling Technique in Evaluating Textual Datasets -- Y-X-Y Encoding for Identifying Types of Sentence Similarity -- Evaluation of Extractive and Abstract Methods in Text Summarization.

Abstract: The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2022), held online at UNITAR International University, Malaysia, during December 20–21, 2022. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as artificial intelligence and blockchain are useful for various domains such as marketing, health care, finance, banking, environmental, and agriculture. An important grand challenge in data science is to determine how developments in computational and social-behavioral sciences can be combined to improve well-being, emergency response, sustainability, and civic engagement in a well-informed, data-driven society. The topics of this book include, but not limited to: artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.

Abstract: Rules Extraction Methods from Neural Networks -- Quality Analysis of the Ganges River Water Utilizing Machine Learning Technologies -- Eye-Tracking Movements – A Comparative Study -- Cybersecurity Imminent Threats with Solutions in Higher Education -- A two-level fuzzy model for filtering signals of the automatic dependent surveillance-broadcast -- Towards More Robust Multiclass Aerial Solar Panel Detection and Classification -- PlantML: Some Aspects of Investigation on Deployment of Machine Learning Algorithm for Detection and Classification of Plants -- Big Data Analytics Based Recommendation System Using Ensemble Model -- Uncertainty Management in Brain Data for Olfactory Perceptual-Ability Assessment of Human Subjects by General Type-2 Fuzzy Reasoning -- Checkpoint based Round-robin Scheduling Technique towards Fault Tolerant Resource Management in Cloud Computing -- Cost Optimised Community-Based Influence Maximization -- A Novel Model for Automated Identification of Terrestrial Species -- Fish Detection from Underwater images using YOLO and its Challenges -- Design and Realization of an IoT Based System for Real-Time Monitoring Of Embryo Culture Conditions in IVF CO2 Incubators -- FPGA Implementations and Performance Analysis of Different routing Algorithms for the 2D-Mesh Network-on-Chip -- A Comparative Analysis of Non-Gradient Methods of Class Activation Mapping -- Deep Learning based Weight Initialization on Multi-layer Perceptron for Image Recognition -- Assessment of Air Quality as a Positive Impact of COVID-19 Lockdown with reference to an Industrial City and a Populated City of India -- Applications of Big Data in Various Fields: A Survey -- Performance Analysis of Healthcare Information in Big Data NoSql platform -- IoT Based Smart Internet Protocol Camera for Examination Monitoring -- Efficient Low Complexity Message Passing Algorithm for Massive MIMO Detection -- An Effective Community-Based Greedy Approach over Selected Communities for Influence Maximization.

Abstract: This book gathers extended versions of papers presented at DoSIER 2022 (Fourth Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during 22–23 December 2022). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.

Abstract: NS3-based Performance Assessment of Routing Protocols AODV, OLSR and DSDV for VANETs -- A Novel Blockchain Based Smart Contract for Real estate Management -- A Review on VM Placement Scheme using Optimization Algorithms -- Use of Blockchain to Prevent Distributed Denial-of-service (DDoS) Attack: A Systematic Literature Review -- CS-based Energy-Efficient Service Allocation in Cloud.

Abstract: This book is a collection of peer-reviewed best selected research papers presented at the Fourth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2023), organized by Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India, during 15–16 January 2023. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. .

Abstract: Early Prediction and Analysis of DTI and MRI-based Alzheimer's Disease through Machine Learning Techniques -- Ensemble Machine Learning Technique for Identifying COVID-19 from CT Scan Images -- Machine Learning Based Tomato Leaf Disease Diagnosis Using Radiomics Features -- Effective Feature Extraction via Segmented t-Stochastic Neighbor Embedding for Hyperspectral Image Classification.

Abstract: This book presents various computational and cognitive modeling approaches in the areas of health, education, finance, environment, engineering, commerce, and industry. It is a collection of selected conference papers presented at the 4th International Conference on Trends in Cognitive Computation Engineering (TCCE 2022), hosted by Mawlana Bhashani Science and Technology University, Tangail, Bangladesh, during December 17–18, 2022. It shares cutting-edge insights and ideas from mathematicians, engineers, scientists, and researchers and discusses fresh perspectives on problem solving in a range of research areas.

Abstract: Chapter 1. Microservice Architecture Observability Tool Analysis -- Chapter 2. Decentralized payment architecture for e-commerce and utility transactions with Government verified identities -- Chapter 3. Detection of Phishing Website using Intelligent Machine Learning Classifiers -- Chapter 4. Bidirectional Gated Recurrent Unit (BiGRU) based Bitcoin Price Prediction by News Sentiment Analysis -- Chapter 5. How AI Algorithms are being used in Applications -- Chapter 6. A Framework for Identifying Theft Detection using Multiple-instance Learning -- Chapter 7. An Efficient Reversible Data Hiding Based on Prediction Error Expansion -- Chapter 8. Deriving Insights from COVID-19 -- Chapter 9. Smoke Detection in Forest Using Deep Learning -- Chapter 10. Pneumothorax Segmentation using Feature Pyramid Network and MobileNet Encoder through Radiography Images -- Chapter 11. Visual Learning with Dynamic Recall -- Chapter 12. Machine learning for drug discovery using ag-glomerative hierarchical clustering -- Chapter 13. Automated Photomontage Generation with Neural Style Transfer -- Chapter 14. Machine Learning Model Development Using Computational Neurology -- Chapter 15. Graph Theory based user profile extraction and community detection in Linkedin- A study. etc.

Abstract: This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Fifth International Conference on Soft Computing and Signal Processing (ICSCSP 2022). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.

Abstract: An Automatic Decision Support System for Assessing SDG Contributions -- Removing Stegomalware from Digital Image Files -- Entropic Analysis of Reservation Policy of Government of India -- Cybersecurity in the Supply Chain and Logistics Industry: A Concept-Centric Review -- Machine Learning Methodology for the Recognition of Unsolicited Mail Communications -- IoT-Based Automated Hydroponic Cultivation System: A Step Toward Smart Agriculture for Sustainable Environment.

Abstract: The book is a collection of peer-reviewed best-selected research papers presented at the International Conference on Advances in IoT and Security with AI (ICAISA 2023), organized by Deen Dayal Upadhyaya College, University of Delhi, New Delhi, India, in collaboration with University of Canberra, Canberra, Australia, and NIT, Arunachal Pradesh, Itanagar, AP, India, during March 24–25, 2023. The book includes various applications and technologies in this specialized sector of Industry 4.0. The book is divided into two volumes. It focuses on recent advances in Internet of Things and security with its applications using artificial intelligence.

Abstract: Features Extraction and Analysis of Electro-Myogram Signals using Time, Frequency, and Wavelet Transform Methods -- Lycopersicon Crop Leaf Disease Identification using Deep Learning -- Performance Analysis of Satellite Image Classification Using Deep Learning Neural Network -- Text Visualization of Entire Corpus through Single document Input Tools.

Abstract: This book presents high-quality research papers presented at 4th International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2022) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from November 19 to 20, 2022. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.

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: 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: Air pollution detection and prediction using moving average in Indian cities -- Implementation of ResNet-50 with the skip connection principle in transfer learning models for lung disease prediction -- Performance Analysis of American Sign Language using Wavelet Transform & CNN -- Image Transmission in Underwater through Li-Fi -- Leaf disease identification with multi-label classification of various plants using dense CNN model -- Enhancing the MANET AODV forecast of a broken link with LBP -- Educational Innovation Using Augmented Reality: Systematic Literature Review -- A Current Survey Trends on Child Safety Devices Using IoT -- Intelligent Children Safety and Security Wearable Shield using IoT -- Software Defects Prediction using Machine Learning Algorithms -- FARMERS MARKET-Agricultural Marketing and Management System to Connect Farmers to Retailers -- Driver Drowsiness Detection System based on Behavioral Method, Biological Method and Vehicular Feature based Method -A Review -- A Virtual Machine Protection Framework against Compromised Hypervisor in Cloud Computing -- SVM vs KNN: Prediction of Best Image Classifier.

Abstract: This book is a collection of best selected research papers presented at Second International Conference on Intelligent Systems and Sustainable Computing (ICISSC 2022), held in School of Engineering, Malla Reddy University, Hyderabad, India, during December 16–17, 2022. The book covers recent research in intelligent systems, intelligent business systems, soft computing, swarm intelligence, artificial intelligence and neural networks, data mining and data warehousing, cloud computing, distributed computing, big data analytics, Internet of things (IoT), machine learning, speech processing, sustainable high-performance systems, VLSI and embedded systems, image and video processing and signal processing and communication.

Abstract: Introduction to Big Data Analytics -- DCD_PREDICT: Using Big Data on Prediction Forchest Diseases by Applying Machine Learning Algorithms -- Design of Energy Efficient IOMT Electrocardiogram (ECG) Machine on 28 Nm FPGA -- Automatic Smart Irrigation Method for Agriculture Data Artificial Intelligence Based Plant Disease Detection -- IoT Equipped Intelligent Distributed Framework for Smart Healthcare Systems -- Adaptive Particle Swarm Optimization for Energy Minimization in Cloud: A Success History Based Approach -- Field Monitoring and Automation in Agriculture Using Internet of Things (IoT).

Abstract: This book discusses integration of internet of things (IoT), cloud computing, and big data. It presents a unique platform where IoT, cloud computing, and big data are fused together and can be foreseen as a perfect solution to many applications. Usually, IoT, cloud computing, and big data are researched separately on the basis of their properties, underlying technologies, and other open issues. Integration of IoT, cloud computing and big data is not that easy and can face key open issues like standardization of interfaces, power and energy efficiency in both data processing and transmission, security and privacy, storage mechanisms for future applications, scalability and flexibility, and QoS provisioning for end user applications. Integration of IoT, cloud computing, and big data represents the next big rise for future industry and business applications. This integration opens new exhilarating directions for research and it is discussed in this book.

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: 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: This book gathers selected high-quality research papers presented at International Conference on Paradigms of Communication, Computing and Data Sciences (PCCDS 2022), held at Malaviya National Institute of Technology Jaipur, India, during 05 – 07 July 2022. It discusses high-quality and cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.

Abstract: Publishing Temperature and Humidity Sensor Data to ThingSpeak -- Design of Hybrid Logic Full Subtractor Using 10T XOR-XNOR Cell -- Stuck at Fault Detection in Ripple Carry Adders with FPGA -- Prediction of Covid-19 Spreaders -- SMART AGRICULTURAL SOLUTIONS THROUGH MACHINE LEARNING -- LOW-COST ECG BASED HEART MONITORING SYSTEM WITH UBIDOTS PLATFORM -- AUTOMATIC ATTENDANCE MANAGEMENT SYSTEM USING AI & DEEP CONVOLUTIONAL NEURAL NETWORK -- Automatic Vehicle Alert and Accident Detection System based on CloudUsing IoT -- AEFA-ANN: artificial electric field algorithm-based artificial neural networks for forecasting crude oil prices -- A CRITICAL SURVEY ON MACHINE LEARNING PARADIGMS TO FORECAST SOFTWARE DEFECTS BY USING TESTING PARAMETERS -- Low Power Comparator-Triggered Method of Multiplication for Deep Neural Networks -- Assembly line implementation for IOT applications -- Dementia disease detection from psychiatric disorders based on automatic speech analysis.

Abstract: This book sheds light on systems that learn extensively, with purpose and naturally interact with humans. Improving operations and increasing competitive differentiation among manufacturing organizations by harnessing the power of cognitive abilities, IoT can help build and influence the flow of information—making the shop floor more cognitive through effective processing, analysis, and operational optimization. Now we are seeing the first-hand potential of cognitive computing—its ability to transform businesses, governments, and society. The real potential of the cognitive age can be realized by combining data analysis and statistical reasoning of machines with uniquely human qualities, such as self-directed goals, common sense, and moral values, improving operations and increasing competitive differentiation among manufacturing organizations. By harnessing the power of cognitive abilities, IoT can help build and influence the flow of information—making the shop floor more cognitive through effective processing, analysis, and operational optimization. Cognitive initiatives come in all shapes and sizes, from change to strategy and everything in between. What most successful projects have in common, no matter how ambitious, is they start with a clear view of what technology can do. Therefore, the first job of a cognitive scientists is to gain a firm understanding of cognitive abilities, as presented in this book. .

Abstract: The volume includes papers presented at the International KES Conference on Human Centred Intelligent Systems 2023 (KES HCIS 2023), held in Rome, Italy on June 14–16, 2023. This book highlights new trends and challenges in intelligent systems, which play an important part in the digital transformation of many areas of science and practice. It includes papers offering a deeper understanding of the human-centred perspective on artificial intelligence, of intelligent value co-creation, ethics, value-oriented digital models, transparency, and intelligent digital architectures and engineering to support digital services and intelligent systems, the transformation of structures in digital businesses and intelligent systems based on human practices, as well as the study of interaction and the co-adaptation of humans and systems.

Abstract: Optimal placement of phasor measurement units considering channel limits under various contingencies -- Adaptive Deep Recurrent Neural Network Based COVID-19 Healthcare Data Prediction for Early Risk Prediction -- Maximum Decision Support Regression Based Advance Secure Data Encrypt Transmission For Healthcare Data Sharing In The Cloud Computing -- Routing Integrity Mechanism To Prevent Wormhole Attacks In Vehicular Adhoc Networks -- A detailed analysis on spam emails and detection using Machine Learning algorithms -- Advanced Encryption Standard based Encryption for Secured Transmission of Data in Cognitive Radio with Multi-Channels -- Multi energy-harvesting smart water meter design for underground water pipeline leakage detection -- Tensor Flow Model with Hybrid Optimization Algorithm for solving Vehicle Routing Problem -- Authentication key generator for data sharing on cloud- A Review -- Restaurant Quality Analysis: A Machine Learning Approach -- Towards the Implementation of Traffic Engineering in SDN: A Practical Approach -- Real time intrusion detection in connected autonomous vehicles -- Physical Architecture of Linear Feedback Shift Register using Clock Tree Synthesis for Cyber-Physical System -- Detection of Arrhythmia via Electrical Activity of the Heart using AI techniques -- Utilizing Deep Convolutional Neural Networks for Image-Based Plant Disease Detection.

Abstract: This book presents selected papers from the 7th International Conference on Inventive Systems and Control (ICISC 2023), held on January 30–31, 2023, at JCT College of Engineering and Technology, Coimbatore, India. The conference proceedings of ICISC 2023 include an analysis of the class of intelligent systems and control techniques that utilizes various artificial intelligence technologies, where there are no mathematical models and system available to make them remain controlled. Inspired by various existing intelligent techniques, the primary goal of ICISC 2023 proceedings is to present the emerging innovative models to tackle the challenges faced by the existing computing and communication technologies.

Abstract: 1. Equity Market Price Prediction using Fuzzy-Genetic Machine Learning Algorithms -- 2. A Convolution Neural Network model to Classify Handwritten Digits from Skeletons -- 3. A Wavelet Thresholding-Based Approach for De-Noising the Color Image Affected by Gaussian Noise -- 4. Detection and classification of Diabetic Retinopathy using image processing and machine learning techniques -- 5. Analysis of EEG Signal of the Elderly for Hand Grip Muscle Activity -- 6. A systematic review of Image Fusion approaches -- 7. CASE STUDY: ANPR utilized for Smart Parking -- 8. Classification of Esophageal Cancer Using Ensembled CNN with Generalized Normal Distribution Optimization Model and Support Vector Machine Classifier.

Abstract: This book presents high-quality research papers presented at Congress on Smart Computing Technologies (CSCT 2022) organized by SAU Center for Research and Innovative Learning (SCRIL), South Asian University, India, from 3–4 December 2022. The book extensively covers recent research in algorithms for smart computing, AI and machine learning in smart computing, edge computing algorithms, adversarial networks and autoencoders, data visualization, data mining, data analytics, machine learning, game theory, high-performance computing, mobile and ubiquitous platforms for smart environments, cloud/edge/fog computing technologies for smart systems, Internet of Things (IoT) and industrial IoT technologies for smart systems, smart device and hardware, security, privacy, and economics in smart environments, big data, healthcare informatics, smart precision agriculture, smart transportation, social network analysis, and human–computer interaction.

Abstract: Quality of Service (QoS)-driven Edge Computing and Smart Hospitals: A Vision, Architectural Elements and Future Directions -- Real Time Face Mask Detector with Multi-class Classification using Deep Neural Networks -- Data Correlation Analysis to Curb Road Accidents -- Speech Recognition via Machine Learning in Recording Studio -- Clustering-Based Filter Pruning Approach for Efficient ConvNets -- SMS and E-mail Spam Classification using Natural Language Processing and Machine Learning -- Detecting Malware in Windows Environment Using Machine Learning -- Fake News Detection using LSTM Based Deep Learning Approach and Word Embedding Feature Extraction -- Safe Distance Monitoring for COVID-19 Using YOLOv3 Object Recognition Paradigm -- Machine Learning Based Depth of Anesthesia Estimation using Spectral and Statistical Features of EEG.

Abstract: The book presents selected papers from NIELIT's International Conference on Communication, Electronics and Digital Technology (NICE-DT 2023) held during February 10–11, 2023, in New Delhi, 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, advance computing, cloud computing, quantum computing, VLSI and semiconductors, electronics system, Internet of Things, robotics and automations, blockchain and software technology, digital technologies for future, assistive technology for divyangjan (people with disabilities) and Strategy for Digital Skilling for building a global Future Ready workforce.

Abstract: Cell-Free Massive MIMO versus Small Cells -- High Precision Navigation using Particle Swarm Optimization based KF -- Recent Advancements for Detection and Prediction of Breast Cancer using Deep Learning A Review -- Automatic Vehicle Signal Enabling System using IoT -- Study report of TOR anti- forensic techniques.

Abstract: This book includes original, peer-reviewed articles from the 2nd International Conference on Cognitive & Intelligent Computing (ICCIC-2022), held at Vasavi College of Engineering Hyderabad, India. It covers the latest trends and developments in areas of cognitive computing, intelligent computing, machine learning, smart cities, IoT, artificial intelligence, cyber-physical systems, cybernetics, data science, neural network, and cognition. This book addresses the comprehensive nature of computational intelligence, cognitive computing, AI, ML, and DL to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. Submissions are original, unpublished, and present in-depth fundamental research contributions either from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world 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: The book is a collection of peer-reviewed best-selected research papers presented at the International Conference on Advances in IoT and Security with AI (ICAISA 2023), organized by Deen Dayal Upadhyaya College, University of Delhi, New Delhi, India, in collaboration with University of Canberra, Canberra, Australia, and NIT, Arunachal Pradesh, Itanagar, AP, India, during March 24–25, 2023. The book includes various applications and technologies in this specialized sector of Industry 4.0. The book is divided into two volumes. It focuses on recent advances in Internet of Things and security with its applications using artificial intelligence.

Abstract: Chapter 1：Modeling Microscopic Traffic Behaviors for Connected and Autonomous Vehicles -- Chapter 2: ITS Traffic Management with Connected Vehicles: an overview -- Chapter 3: Evolution of Wireless Communication Technology for V2X Assisted Autonomous Driving -- Chapter 4: 5G Meets V2X: Integration, Application, Standard and Industrialization -- Chapter 5: Enabling Reconfigurable Intelligent Surface for V2X Communication Systems -- Chapter 6: Real-time Object Detection for ITS Applications -- Chapter 7: 3D Scene Perception for Autonomous Driving -- Chapter 8: Multi-sensor Fusion for Perception in Complex Traffic Environments.

Abstract: This book focuses on the design, management, and cybersecurity of connected and autonomous vehicles under the umbrella of the Internet of Vehicles. Both principles and engineering practice are covered, from the design perspectives of communication, computing, and perception to ITS management. An in-depth study of a range of topics such as microscopic traffic behavior modeling and simulation, localization, V2X communication, cooperative cloud-edge computing, and multi-sensor fusion for perception has been presented, while novel enabling technologies such as RIS and blockchain are introduced. The book benefits researchers, engineers, and graduate students in the fields of intelligent transport systems, telecommunications, cybersecurity, and autonomous driving.

Abstract: Part 1: Algorithms -- Chapter 1. Predicting Useful Information From Typing Patterns Using A Bootstrapped-based Homogeneous Ensemble Approach -- Chapter 2. Path Dependencies in Bilateral Relationship-Based Access Control -- Chapter 3. A robust approach to document skew detection -- Part 2: Smart systems and Networks -- Chapter 4. MBLEACH: Modified Blockchain Based LEACH Protocol -- Chapter 5. Community Detection in Large and Complex Networks Using Semi-local Similarity Measure -- Chapter 6. Evaluation of SVM Kernels With Multiple Uncorrelated Feature Subsets Selected By Multiple Correlation Methods for Reflection Amplification DDoS Attacks Detection -- Chapter 7. BLRS: An Automated Land Records Management System using Blockchain Technology -- Part 3: Machine Learning -- Chapter 8. Classification of Kathakali Asamyuktha Hasta Mudras Using Naive Bayes Classifier and Convolutional Neural Networks -- Chapter 9. Multi-objective fuzzy reliability redundancy allocation for xj-out-of-mj system using fuzzy rank based multi-objective PSO -- Chapter 10. Image Binarization With Hybrid Adaptive Thresholds -- Chapter 11. BEN-CNN-BiLSTM: A Model of Consequential Document Set Identification of Bengali Text -- Part 4: Smart Healthcare -- Chapter 12. A Machine Learning Model for Automatic Sleep Staging based on Single-channel EEG signals -- Chapter 13. Deep learning-based prediction of time-series single cell RNA-seq data -- Chapter 14. Stress Analysis Using Machine Learning -- Chapter 15. Deep Learning towards Brain Tumor Detection using MRI images. etc.

Abstract: This book features a collection of high-quality research papers presented at the 9th International Symposium on Applied Computing for Software and Smart systems (ACSS 2022), to be held during September 09–10, 2022 in Kolkata, India. The book presents innovative works by undergraduate, graduate students and as well as PhD scholars. The emphasis of the workshop is on software and smart systems and research outcomes on other relevant areas pertaining to advancement of computing.

Abstract: Enneaontology: Towards an Enneagram Personality Detection -- Anomalies detection on contemporary Industrial Internet of Things data for securing crucial devices -- Automatic Sentiment Analysis Scalability Prediction for Information Extraction Using Senti Strength Algorithm -- Vegetable Plant Leaf Image Classification using Machine Learning Models -- A Novel SARS-COV-2 Variant Omicron Disseminating Evaluation -- Cryptanalysis of Tiny Encryption Algorithm based on SMT solvers Using HPC -- Diagnosis of pulmonary diseases from chest X-ray using deep learning approaches -- Ensembled Machine Learning Techniques for DDoS Detection in SDN -- Breast Cancer Detection using Deep Learning Model -- A Survey on Automatic Text Summarization -- The Adaptive Strategies Improving Design in Internet of Things.

Abstract: This book includes original, peer-reviewed research articles from International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2022), held in VNR Vignana Jyoythi Institute of Engineering and Technology (VNR VJIET), Hyderabad, Telangana, India, during August 11–12, 2022. The book focuses on “Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems” enlargements and reviews on the advanced topics in artificial intelligence, machine learning, data mining and big data computing, knowledge engineering, semantic Web, cloud computing, Internet of Things, cybersecurity, communication systems, and distributed computing and smart systems.

Abstract: A Stochastic Weighted Model for Task Scheduling and Resource Utilization in the Cloud -- A Study on Accident Detection systems using Machine Learning -- A Systematic Analysis of the Computational Intelligence Techniques for Fake News Detection -- A Non Conventional Pre-Processing Method for Financial Risk Analysis Data -- An energy-efficient deep neural network model for photometric redshift estimation -- A Contemporary Analysis of Privacy Preserving Strategies in MANET -- An Advanced Approach to Detect Plant Diseases by the Use of CNN based Image Processing -- A Gravitational Search Algorithm Study on Text Summarization using NLP -- A Deep Learning Model for Arabic Fake News Detection Based on Transformers -- A Novel Optimization Algorithm for Heart Attack Prognostic Process -- A Certain Investigation of MEMS for Optimized Sensor Coverage -- Cervical Cancer Prediction Using Optimized Meta Learning -- Classification of Cervical Cells Using Deep Learning Feature Extraction -- Avian Influenza Prediction Using Machine Learning -- An Investigation on the Detection of Intrusions into a Network Using Convolutional Neural Networks -- Analyzing Data Streams with Different Flavors of Distributed Data Mining -- Analyze Dark Web and Security Threats -- Analysis of Metaheuristic Algorithms for Optimized Extreme Learning Machines in Various Sectors -- Cryptocurrency Trading Bot with Sentimental Analysis and Backtracking using predictive ML -- Artificial Intelligence Based Data Analytics Techniques in Medical Imaging -- Hate speech and offensive language detection in Twitter data using machine learning classifiers -- Machine Learning and Recommendation System in Agriculture: A survey and possible extensions -- Initial intrusion detection in Advanced Persistent Threats (APT’s)using Machine Learning -- Equipment Planning for an Automated Production Line Using a Cloud System.

Abstract: This book features a collection of high-quality, peer-reviewed research papers presented at the 10th International Conference on Innovations in Computer Science & Engineering (ICICSE 2022), held at Guru Nanak Institutions, Hyderabad, India, on 16–17 September 2022. It covers the latest research in data science and analytics, cloud computing, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks and IoT applications, artificial intelligence, expert systems, natural language processing, image processing, computer vision, and artificial neural networks.

Abstract: 1. Introduction to Predictive Analytics -- 2. Data Acquisition and Preparation -- 3. Intelligent Approaches -- 4. Predictive Maintenance -- 5. Predictive Maintenance for Mechanical Design System -- 6. Predictive Maintenance for Manufacturing -- 7. Conclusions.

Abstract: This book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the preventive mechanism enabled by predictive approach and condition-based smart maintenance. The intelligent decision support, earlier detection of spare part failure, fatigue detection is the main slices of intelligent and predictive maintenance system (PMS) leading towards Maintenance 4.0 This book presents prominent use cases of mechanical engineering using PMS along with the benefits. Basic understanding of data preparation is required for development of any AI application; in view of this, the types of the data and data preparation processes, and tools are also presented in this book.

Abstract: Philosophical Review of Artificial Intelligence for Society 5.0 -- A Review of Different Approaches for Emotion Detection Based on Facial Expression Recognition -- The Long Short-Term Memory Tuning for Multi-step Ahead Wind Energy Forecasting Using Enhanced Sine Cosine Algorithm and Variation Mode Decomposition -- Design of Traffic Monitoring System by Greedy Perimeter Stateless Routing Protocol -- Crop-Weed Detection, Depth Estimation and Disease Diagnosis Using YOLO and Darknet for Agribot: A Precision Farming Robot -- Audio Classification of Emergency Vehicle Sirens Using Recurrent Neural Network Architectures.

Abstract: This book is a collection of selected high-quality research papers presented at International Conference on Paradigms of Communication, Computing and Data Analytics (PCCDA 2023), held at South Asian University, New Delhi, India, during 22–23 April 2023. It discusses cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.

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: Correlation Analysis of Stock Index Data Features using Sequential Rule Mining Algorithms -- A CRF-based POS tagging approach for Bishnupriya Manipuri language -- Text and Language independent classification of voice calling platforms using deep learning -- IFS: An Incremental Feature Selection Method to Classify High Dimensional Data -- Computer-Aided Identification of Loom Type of ethnic textile, the Gamusa, using Texture features and Random Forest Classifier.

Abstract: This book features high-quality, peer-reviewed research papers presented at the International Conference on Data Electronics and Computing (ICDEC 2022) organized by departments of Electronics and Communication Engineering, Computer Applications, and Biomedical Engineering, North-Eastern Hill University, Shillong, Meghalaya, India during 7 – 9 September, 2022. The book covers topics in communication, networking and security, image, video and signal processing; cloud computing, IoT and smart city, AI/ML, big data and data mining, VLSI design, antenna, and microwave and control.

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: 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: Chapter 1. Personal Health Record Data-Driven Integration of Heterogeneous Data -- Chapter 2. Privacy issues in data-driven healthcare -- Chapter 3. Personalizing the Patient Discharge Process and Follow Up Using Machine Learning Algorithms, Assessment Questionnaires and Ontology Reasoning -- Chapter 4. Explaining decisions of quantum algorithm: patient specific features explanation for epilepsy disease -- Chapter 5. Bioinformatics study for determination of the binding efficacy of heme-based protein -- Chapter 6. Growth Trend of Swine Flu and Covid 19 Pandemic A_ected Patients using Fuzzy Cellular Automata: A Study -- Chapter 7. Data-driven approach study for the prediction and detection of infectious disease outbreak -- Chapter 8. Design and development of interactive, real time dashboard to understand COVID-19 situation in Pune -- Chapter 9. Analyzing The Impact of Covid-19 and Vaccination using Machine Learning and ANN -- Chapter 10. Development of Psychiatric COVID-19 CHATBOT using Deep Learning -- Chapter 11. Adv nced Mathematical Model to Measure the Severity of any Pandemics -- Chapter 12. Semi-Structured Patient Data in Electronic Health Record.

Abstract: The book presents current research advances, both academic and industrial, in machine learning, artificial intelligence, and data analytics for biomedical and healthcare applications. The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc. It also highlights development of novel pattern recognition and machine learning methods specific to medical and genomic data, which is extremely necessary but highly challenging. The book will be useful for healthcare professionals who have access to interesting data sources but lack the expertise to use data mining effectively.

Abstract: Modelling Muller Lyer Illusion Using Information Geometry -- Building up a Categorical Sentiment Dictionary for Tourism Destination Policy Evaluation -- Statistical Analysis of Stress Prediction from Speech Signatures -- DermoCare.AI: A Skin Lesion Detection System using Deep Learning Concepts -- Analysis of Phishing Base Problems using Random Forest Features Selection Techniques and Machine Learning Classifiers -- Cost Prediction for Online Home-Based Application Services by Using Linear Regression Techniques -- Convolutional neural network-based intrusion detection system and predict the DDoS attack -- BERT Transformer based Fake News Detection in Twitter Social Media -- The Facial Expression Recognition Using Deep Neural Network -- New IoT Based Portable Microscopic Somatic Cell Count Analysis.

Abstract: The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2021), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during July 6–7, 2022. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.

Abstract: A Novel Single Switch High Gain Flyback DC-DC Converter for Small Scale Lightning -- Learning Based Model for Auto Form Filling -- Fatality Prediction in Road Accidents Using Neural Networks -- Managing Peer Review Process of Research Paper -- Internet of Things Based Centralised Water Distribution Monitoring System -- StakePage: Analysis of Stakeholders of an Information System using Page Rank Algorithm -- Violence Recognition from videos using Deep Learning -- Stock Price Prediction Using Machine Learning -- Brain Tumor Detection using Deep Learning -- Predicting Chances of Cardiovascular Diseases through Integration of Feature Selection and Ensemble Learning -- Feedback Analysis of Online Teaching Using SVM -- DCGAN for Data Augmentation in Pneumonia Chest X-Ray Image Classification -- Fair Quality of Voice Over WiMAX Coexisting of WiFi Networks for Video Streaming Applications -- An Empirical overview on DDOS: Taxonomy, Attacks, Tools and Attack Detection Mechanism -- Histopathology Osteosarcoma Image Classification.

Abstract: This book is a collection of high-quality peer-reviewed research papers presented at International Conference on Recent Trends in Computing (ICRTC 2022) held at SRM Institute of Science and Technology, Ghaziabad, Delhi, India, during 3 – 4 June 2022. 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: 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: Assessment of the level of environmental and economic sustainability of subjects of the public sector of the country's economy -- A Suggested Index of Green Finance Availability: The Case of Egypt -- Corporate Financial Performance Prediction Using Artificial Intelligence Techniques -- Strategic measures and alternatives to ensure the financial security of machine-building enterprises -- Digital transformation as a tool for implementation of the "Green Deal" concept in the national economy of Ukraine -- Intelligent Mechanism for Virtual Machine Migration in Cloud computing -- Blockchain Technology to Enhance Performance of Drugs Supply Chain in The Era of Digital Transformation in Egypt -- Governance Model for Cloud Computing Service -- Assessing and auditing organization’s big data based on COBIT 5 controls: COVID-19 effects -- Feature Selection in Medical Data as Coping Review from 2017 To 2022 -- Machine learning for blood Donors classification model using Ensemble learning -- The Effect of Buyer Churn Factors on Buyer's Loyalty through Telecommunication Service Providers in Egypt -- Plant Disease Detection and Classification Using Machine Learning and Deep Learning Techniques: Current Trends and Challenges -- A Review for Software Defect Prediction Using Machine Learning Algorithms -- Using Machine Learning Techniques in predicting Auditor Opinion: Empirical Study -- A Comparative Study of Features Selection in the Context of Forecasting PM2.5 Concentration -- Effective E-commerece Based on Predicting the Level of Consumer Satisfaction -- An HBM3 Processing-In-Memory Architecture for CRC Operations -- Improving Smart Infrastructure to Achieve Sustainable Development: Analysis and Policy Proposals -- Cramer-Rao bound Investigation of the Double-Nested Arc Array Virtual Extension & Butterfly Antenna Configuration -- Energy security of Ukraine in general and in the field of electric power - theory and reality -- An Ontology-based Customer Relationship Management Model for Educational Institutions using Service Oriented Architecture -- Use of the semantic Wiki resources for Open Science support -- Framework Development for Testing Automation of Web-services Based on Python.

Abstract: The book is a collection of best selected research papers presented at the Third World Conference on Internet of Things: Applications & Future (ITAF 2023) organized by Global Knowledge Research Foundation in Cairo during February 4–5, 2023. It includes innovative works from researchers, leading innovators, business executives, and industry professionals to examine the latest advances and applications for commercial and industrial end users across sectors within the emerging Internet of things ecosphere. It shares state-of-the-art as well as emerging topics related to Internet of things such as big data research, emerging services and analytics, Internet of things (IoT) fundamentals, electronic computation and analysis, big data for multi-discipline services, security, privacy and trust, IoT technologies, and open and cloud technologies.

Abstract: Part 1. Introduction -- Chapter 1. Introduction -- Part 2. Integration of Cloud, Internet of Things, Virtual Reality and Big Data Analytics -- Chapter 2. Impact of Big Data and Cloud Computing on Data Analysis -- Chapter 3. Edge Computing with Internet of Things (IoT) and Data Analysis -- Chapter 4. Virtual and Augmented Reality with Embedded Systems -- Part 3. Biological Applications of Data Analytics -- Chapter 5. Computational Biology towards Data Analysis -- Chapter 6. Data Classification through Cognitive Computing -- Part 4. Quantum Computing for Data Analysis -- Chapter 7. Quantum Computing in Machine Learning -- Chapter 8. Quantum Computing in Image Processing -- Part 5. Computations for Various Data Applications and Future -- Chapter 9. Challenges and Future Research Directions on Data Computation .

Abstract: This book covers various cutting-edge computing technologies and their applications over data. It discusses in-depth knowledge on big data and cloud computing, quantum computing, cognitive computing, and computational biology with respect to different kinds of data analysis and applications. In this book, authors describe some interesting models in the cloud, quantum, cognitive, and computational biology domains that provide some useful impact on intelligent data (emotional, image, etc.) analysis. They also explain how these computing technologies based data analysis approaches used for various real-life applications. The book will be beneficial for readers working in this area.

Abstract: Introduction to Society 5.0 -- Modernization and Innovative Development in Society 5.0 -- Introduction to smart big data analytics and smart real-time analytics in Society 5.0 -- Conceptual Analysis and Applications of Bigdata in Smart Society -- Cybersecurity in Society 5.0 -- Challenging Aspects of Data Preserving Algorithms in IoT Enabled Smart Societies.

Abstract: The book discusses Society 5.0 which fills the gap between cyber and physical space by providing a balanced environment between economic and social needs. The book is divided into two parts; part A focuses on various concepts related to Society 5.0 such as cyber space, physical space, information management and digital transformation. Part B discusses various integrated fields in Society 5.0, such as super-smart healthcare system, super-smart hospitality system, smart building, and transport management system. It also illustrates the concepts of big data, real-time analytics for smart Society 5.0 with an insight of real-time case studies.

Abstract: Mapping and Navigation for Indoor Robot Using Multiple Sensor Under ROS Framework -- Optimization of Waterjet Paint Removal Operation using Artificial Neural Network -- Light Path Simulation for Optical Switch Based on Digital Electromagnetic Actuators -- An Application of Charge-Coupled Device (CCD) Tomography System for Gemological Industry - A Review -- Prediction of Abrasive Waterjet Machining of Sheet Metals using Artificial Neural Network -- You Are Too Loud! Classification of Psychological Conditions for Stress Detection System using Galvanic Skin Response -- Universiti Malaysia Pahang Autonomous Shuttle Development: Lane Classification Analysis using Convolutional Neural Network (CNN) -- Eco-Design of Electric Vehicle Battery Pack for Ease of Disassembly -- Electric Vehicle Drive Specification Modelling for Three Wheels Scooter Configuration -- Experimentation on Spectra Data Regression using Dense Multilayer Neural Networks with Common Pre-processing.

Abstract: This book presents part of the iM3F 2021 proceedings from the mechatronics track. It highlights key challenges and recent trends in mechatronics engineering and technology that are non-trivial in the age of Industry 4.0. It discusses traditional as well as modern solutions that are employed in the multitude spectra of mechatronics-based applications. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book.

Abstract: Introduction to Blockchain Technology -- Blockchain Revolution from 1.0 to 5.0: Technological Perspective -- Decentralization and Architecture of Blockchain Technology -- Basics of Cryptographic Primitives for Blockchain Development -- Smart Contracts for Building Decentralized Applications -- Distributed Consensus for Permissionless Environment -- Mining Procedure in Distributed Consensus -- Distributed Consensus for Permissioned Environment -- Consensus Scalability in Blockchain Network -- Building Trust in Blockchain Network using Collective Signing -- Adoption of Blockchain in Enterprise Computing -- Blockchain for Supply Chain Management -- Blockchain for Government Services -- Impact of Blockchain on Academic Publishing.

Abstract: Blockchain is an emerging technology platform for developing decentralized applications and data storage, over and beyond its role as the technology underlying the cryptocurrencies. The basic tenet of this platform is that it allows one to create a distributed and replicated ledger of events, transactions, and data generated through various IT processes with strong cryptographic guarantees of tamper resistance, immutability, and verifiability. Public blockchain platforms allow us to guarantee these properties with overwhelming probabilities even when untrusted users are participants of distributed applications with the ability to transact on the platform. Even though, blockchain technology has become popularly known because of its use in the implementation of cryptocurrencies such as BitCoin, Ethereum, etc.; the technology itself holds much more promise in various areas such as time stamping, logging of critical events in a system, recording of transactions, trustworthy e-governance, etc. It introduces theoretical and practical aspects of blockchain technology. The book includes an in-depth insight into the need for decentralization, smart contracts, consensus both permissioned and permissionless, and various blockchain development frameworks, tools, and platforms. It can be used as a learning resource for various examinations and certifications related to cryptocurrency and blockchain technology. This book explained the nuts and bolts of blockchain technology in lucid language to make students more familiar with the implementation perspective of this much-needed technology.

Abstract: Introduction -- Technology Talks: The Evolution and Rhetoric of Smartcities -- Projects for Smart Cities: Ecosystems, Connected Intelligence and Innovation Driving the Radical Transformation of Cities -- The Histories of New (Geo)politics of Smart Villages Communities in a Global World: A Contribution to Geographical Debate -- Identifying, Mapping and Measuring Europe’s Smart Cities and Digital Divides: Hyperlink Variations in Primary, Secondary and Tertiary Cities -- Role of Smart Dustbin in Creating a Smart Environment -- Smart Technologies and Aging Society -- Conceptual Model of Mixed-methods Civic Engagement Infrastructure Using Cloud-based Computing Combined with On-site Engagement and Action Projects -- Digital Placemaking: An Analysis of Citizen Participation in Smart Cities -- Historian for a Day: A Use Case of Augmented Reality in Civic Engagement.

Abstract: “Smart City” programs and strategies have become one of the most dominant urban agendas for local governments worldwide in the past two decades. The rapid urbanization rate and unprecedented growth of megacities in the 21st century triggered drastic changes in traditional ways of urban policy and planning, leading to an influx of digital technology applications for fast and efficient urban management. With the rising popularity in making our cities “smart”, several domains of urban management, urban infrastructure, and urban quality-of-life have seen increasing dependence on advanced information and communication technologies (ICTs) that optimize and control the day-to-day functioning of urban systems. Smart Cities, essentially, act as digital networks that obtain large-scale real-time data on urban systems, process them, and make decisions on how to manage them efficiently. The book presents 26 chapters, which are organized around five topics: (1) Conceptual framework for smart cities and communities; (2) Technical concepts and models for smart city and communities; (3) Civic engagement and citizen participation; (4) Case studies from the Global North; and (5) Case studies from the Global South.

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: Unsupervised Learning for the Automatic Management of Scientific Aspect in Academic Conferences -- Context-Sensing from Deployed IoT sensors for improved public Transport Systems -- College Admissions Counseling Using Intelligent Question Answering System -- Juvenile crime categorization with EM clustering -- Review of Interoperability Issues Influencing Acceptance and Adoption of Cloud Computing Technology by Consumers.

Abstract: The book is a collection of best selected research papers presented at the International Conference on Intelligent Systems and Sustainable Computing (ICISSC 2021), held in School of Engineering, Malla Reddy University, Hyderabad, India, during 24–25 September 2021. The book covers recent research in intelligent systems, intelligent business systems, soft computing, swarm intelligence, artificial intelligence and neural networks, data mining & data warehousing, cloud computing, distributed computing, big data analytics, Internet of Things (IoT), machine learning, speech processing, sustainable high-performance systems, VLSI and embedded systems, image and video processing, and signal processing and communication.

Abstract: Wind Turbine Alarm Management with Artificial Neural Networks -- Convolutional Neural Networks as a Quality Control in 4.0 Industry for Screws and Nuts -- Proposal of an Efficient Encryption Algorithm for Securing Communicated Information -- Discernment of Unsolicited Internet Spamdexing using Graph Theory -- Unique Authentication System in End-To-End Encrypted Chat Application.

Abstract: This book presents selected papers from the 6th International Conference on Inventive Systems and Control (ICISC 2022), held on 6–7 January 2022 at JCT College of Engineering and Technology, Coimbatore, India. The conference proceedings of ICISC 2022 includes an analysis of the class of intelligent systems and control techniques that utilizes various artificial intelligence technologies, where there is no mathematical models and system available to make them remain controlled. Inspired by various existing intelligent techniques, the primary goal of ICISC 2022 proceedings is to present the emerging innovative models to tackle the challenges faced by the existing computing and communication technologies.

Abstract: AutoDrone: Shortest Optimized Obstacle-Free Path Planning for Autonomous Drones -- Transfer Learning and Transformer Architecture for Financial Sentiment Analysis -- Feature Extraction and Machine Learning for the Classification of Fashion Materials -- Cardamom Quality Evaluation Employing Electronic Nose -- COVID-DeepNet: Deep Convolutional Neural Network Architecture Designed for Early Prognosis of COVID-19 using Post-Anterior View of Chest X-Rays -- Analytical Study on Feature Selection for Big Data using Optimization Algorithms -- A Machine Learning Approach for Predicting the Death Time and Mortality -- Prediction of Crops Production Using Random Forest Regression -- Drowsy Driving Detection based on Deep Neural Network for Accident Avoidance -- An Intelligent Fire-Extinguishing Robotic System to Combat fire in Coal Mines.

Abstract: This book includes selected papers presented at International Conference on Computational Intelligence, Data Science,, and Cloud Computing (IEM-ICDC 2021), organized by the Department of Information Technology Institute of Engineering and Management, Kolkata, India, during December 22 – 24, 2021. It covers substantial new findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber-security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.

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

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

Abstract: Introduction to Multi-Agent Systems -- Human-Computer Interactions through Multi-Agent Systems: Design and Implementations -- Social Behavior and Reasoning Through Multi Agent Systems -- Prevalence of Multi Agent System Consensus in Cloud Computing -- The Role of Multi Agent Systems in IoT -- Agent based Human Supportive Applications -- Multi Agent System Applications in Healthcare: A Survey -- Applications of Multi Agent Systems in Intelligent Healthcare -- Multi Agent Reinforcement Learning for Stock Market Strategy Analysis -- Multi-Agent Systems: Future Initiatives.

Abstract: The book presents latest multi-agent technologies in human-centered computing (HCC) to provide a new research direction to enrich the human socio computations. Nowadays, the research in the field of multi-agent system (MAS) has gained a wide spread recognition due to its interdisciplinary nature and a vast versatile application domain including engineering, social science, economics, mathematics, operational research, etc. It has been proved that agents in MAS are the most appropriate technological paradigm for providing the most optimal solution for different kinds of complex real world problems that may be industrial or it might be specifically related to social problems. Keeping these features in mind, we planned to tune the research of latest multi-agent technologies and tried to compose its effect on HCC corridor. The primary audience of this book are research students of computer science, information technology and it will be also very helpful for software professionals to get developmental ideas to boost their computing activities.

Abstract: This book presents Proceedings of the International Conference on Intelligent Systems and Networks (ICISN 2022), held at Hanoi in Vietnam. It includes peer reviewed high quality articles on Intelligent System and Networks. It brings together professionals and researchers in the area and presents a platform for exchange of ideas and to foster future collaboration. The topics covered in this book include- Foundations of Computer Science; Computational Intelligence Language and speech processing; Software Engineering Software development methods; Wireless Communications Signal Processing for Communications; Electronics track IoT and Sensor Systems Embedded Systems; etc.

Abstract: Chapter 1. An Approach for Summarizing Text Using Sentence Scoring With Key Optimizer -- Chapter 2. Image Classification of Indian Rural Development Projects using Transfer learning and CNN -- Chapter 3. Mobile Application for Dealing with Bullying -- Chapter 4. Selection of Human Resources Prospective student using SAW and AHP Methods -- Chapter 5. Implementation of the Weighted Product Method to specify scholarship's receiver -- Chapter 6. A Survey on E-Commerce Sentiment Analysis -- Chapter 7. Patient Health Monitoring using Feed Forward Neural Network with Cloud Based Internet of Things -- Chapter 8. Real-Time Big Data Analytics for improving sales in the Retail Industry via the use of Internet of Things -- Chapter 9. Healthcare Application System with Cyber-Security using Machine Learning Techniques -- Chapter 10. Energy Efficient Data Accumulation Scheme Based On ABC Algorithm with Mobile Sink for IWSN -- Chapter 11. IoT based Automatic Medicine Reminder -- Chapter 12. IOT based Framework for Identification of Cov -- Chapter 13. Efficient Data Partitioning and Retrieval using Modified ReDDE Technique -- Chapter 14. Stock Price Prediction using Data Mining with Soft Computing Technique -- Chapter 15. A Complete Analysis of Communication Protocols used in IoT.

Abstract: The book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2022), organized by GITAM School of Technology, Bangalore, India, during 3–4 February 2022. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, knowledge-based expert systems. The book discusses innovative research from all aspects including theoretical, practical, and experimental domains that pertain to the expert systems, sustainable clouds, and artificial intelligence technologies.

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: Part 1: Applied Computations using Deep and Machine Learning -- Classification of Traffic Signs Using Deep Learning-based Approach for Smart Cities -- Sentimental analysis of twitter data on online learning during unlock phase of COVID-19 -- Bonafide Satellite Landslide Image Detection Using Deep Learning -- Deep Learning Approach for Predicting the Price of Cryptocurrencies -- Deep Learning and Super-hybrid Textual Feature based Multi-category Thematic Classifier for Punjabi Poetry -- Attention based Deep Learning Techniques for Question Classification in Question Answering Systems -- Optimized Fuzzy Hypersphere Neural Network with Online Adaptation capability -- Built-Up Area Extraction on Multispectral Satellite Data using Simple CNN -- Framework of CNN Architecture for Fashion Image Classification -- A novel CNN Framework for Early-Stage Detection of Blindness in Diabetic Patients -- Design and Development of Loan Predictor Using Machine Learning -- An Analysis of document summarization for educational data classification using NLP with machine learning techniques -- Detection of Disease in Plants with Android Integration using Machine Learning -- Analysis of Post-flood Impacts on Sentinel-2 Data Using Non-Parametric Machine Learning Classifiers: A Case Study from Bihar Floods -- Performance Analysis of Quantitative Software Vulnerability Prioritization Techniques -- Accessibility and Performance Evaluation of Healthcare and E-Learning Sites in India: A Comparative Study Using TAW and GTMetrix -- Performance analysis of Cardiovascular diseases using Machine Learning -- A Deep Learning Paradigm for Computer Aided Diagnosis of Emphysema from Lung HRCT Images -- Deep learning Convolution Neural Network for Tomato Leaves Disease Detection by Inception -- Sarcasm Detection in Hindi-English Code-mixed Tweets using Machine Learning Algorithms -- Efficient Automated Disease Diagnosis Using Machine Learning Models -- Plant Disease Classification using Transfer Learning -- Performance Assessmentfor Heart-Disease Prediction using Machine Learning Algorithms -- Human Behavior Analysis: Applications and Machine Learning Algorithms -- Advancement of deep learning and its substantial impact on the diagnosis of COVID-19 cases -- Apple Leaf Disease Detection and Classification using CNN Models -- Part 2: Intelligent systems and Machine vision -- Textural and Statistical Feature Extraction from segmented Hard Exudates for Diabetic Retinopathy Classification -- Detection of Epileptic using Wavelet packetsub-bands from EEG Signals -- A New Paradigm for Healthcare System Using Emerging Technologies -- Brain Tumour Detection Using UNet based Semantic Segmentation Scheme -- Alzheimer Disease Prediction using Learning Algorithms -- Digital Learning in developing Asia in the COVID-19 pandemic: A Statistical Approach -- Real-Time Detection of Face Mask and Social Distancing -- Porn Image Forensics: Image Classification, Forgery Detection and Localization -- Parallel Image Processing for Liquid Level Detection -- Single Image Dehazing Techniques for Different Types of Hazy Images -- Predicting 3D Model of Images for Augmented Reality Applications -- Region of Interest using Viola-Jones Algorithm for Video Steganography -- Face Expression Recognition using SVM and KNN classifier with HOG features -- Computer Vision Analysis of BRIEF and ORB Feature Detection Algorithms -- The state of the art Text Summarization Techniques -- Ensemble Mechanism for Decision Support Information System for Water Source Evaluation and Management in Narava Basin, Visakhapatnam -- Part 3: Applied Information Processing Techniques -- Analysis of Feature Selection Methods for UKM-IDS20 Dataset -- An Intelligent Recommendation System using Market Segmentation -- Development and Implementation of Tweet Stream Summarization Technique for Pernicious Tweet Detection -- State of the art on Twitter Spam Detection -- VM Anti-Forensics: Detecting File Wiping usingFile System Journals -- SelectGoREATech: Selection of Goal-Oriented Requirements Elicitation and Analysis Techniques -- Securing Blood Distribution Systems UsingBlockchain -- Distributed Data Register Technology as the Main Component of Economic Decentralization -- Performance Analysis of Scalable Transactions in Distributed Data Store -- Cyber-attackPrevention based on Modified LVQ in SDN using Neural Networks -- An Optimized Cloud-Based Solution for Small-Scale Non-IT Business Firms: An Experimental Analysis -- Sentiment of Primary Features in Aspect Based Sentiment Analysis of Hindi Reviews -- Part 4: Cloud Computing and Wireless Sensor Networks -- Spatiotemporal based Power Control Scheme for D2D Communication in 5G IoT Networks with QoS Constraints -- Cloud Computing Based Workload Prediction Using Cluster Machine Learning Approach. Sleeping Node Scheduling Method Based Redundant Node Energy Reduction inWireless Sensor Networks -- A Hybrid RSS/ToA Based Situational Awareness Technique for Indoor Massive MIMO Wireless System -- A Perceptive Node Transposition and Network Reformation in Wireless Sensor Network -- Energy Efficient Routing Protocol for Multisink Wireless Sensor Networks -- Secure Data Aggregation Model for People Centric Sensing Networks -- A smart energy optimization and collision avoidance routing strategy for IoT systems in the WSN domain -- State of the art on Cloud-Information Flow Control -- Service Placement in Edge Computing with AI based Techniques: A Systematic Review -- Part 5: ICT in Education and Research -- Empathic Chatbot: Emotional Astuteness for Mental Health Well-being -- ICT in Education: A Comparative Analysis of Pre-Covid and Post-Covid Era -- Credit point based Voluntary work Analysis: An integrated model based on proper waste disposal, fitness contribution and social work index -- The State of the art Techniques in Recommendation Systems -- An Analysis of E-Commerce Identification Using Sentimental Analysis: A Survey -- Remote Employee Monitoring & Management.

Abstract: This book is a collection of best selected research papers presented at 7th International Conference on Computing in Engineering and Technology (ICCET 2022), organized by Dr. Babasaheb Ambedkar Technological University, Lonere, India, during February 12 – 13, 2022. Focusing on frontier topics and next-generation technologies, it presents original and innovative research from academics, scientists, students, and engineers alike. The theme of the conference is Applied Information Processing System.

Abstract: A Collaborative Intelligence Approach to Fighting COVID-19 False News: A Chinese case -- Empirical Study on the State of Practice of Information Security Management in Local Government -- A Hybrid Automatic Facial Expression Recognition Based on Convolutional Neuronal Networks and Support Vector Machines Techniques -- Patient and Therapist Model Attributes for Social Robot Stroke Therapies Based on Implicit Knowledge from Expert Interviews -- An Evolutionary Computing based Approach for Optimal Target Coverage in Wireless Sensor Networks -- Analysis of Business Practice and Opportunities in the Construction Industry of UAE In Comparison to Gulf States -- Role of Construction Industry in the Economic Transition Across the United Arab Emirates -- Transition to Electrical and Autonomous Vehicles in China -- The Adoption Appraisal of Autonomous Vehicles -- Keep Your Distance, Automated Driving Vehicle! - Toward an Accurate Localization Solutions for Automotive Applications.

Abstract: The volume includes papers presented at the International KES Conference on Human Centred Intelligent Systems 2022 (KES HCIS 2022), held in Rhodes, Greece on June 20–22, 2022. This book highlights new trends and challenges in intelligent systems, which play an important part in the digital transformation of many areas of science and practice. It includes papers offering a deeper understanding of the human-centred perspective on artificial intelligence, of intelligent value co-creation, ethics, value-oriented digital models, transparency, and intelligent digital architectures and engineering to support digital services and intelligent systems, the transformation of structures in digital businesses and intelligent systems based on human practices, as well as the study of interaction and the co-adaptation of humans and systems.

Abstract: A Novel Approach for Detecting Online Malware Detection Using Performance Metrics Using LSTMRNN and BRNN Based Recurrent Neural Network in Cloud Environment -- Analytical Study of Augmented Reality Simulation System Application on Paintings -- A New Model SATV for Sentiment Analysis of Hinglish Sentences -- Characterization of Molecular Dynamic Trajectory using K-means clustering -- Data Warehouse Modernization using Document-Oriented ETL Framework for Real Time Analytics -- Opinion Mining for Breast Cancer Disease Using Apriori and K-Modes Clustering Algorithm -- Deep learning approach based on ADASYN for detection of Web attacks in the CICIDS2017 dataset -- FUNDUS and OCT Image Classification using Deep Learning Techniques -- A Secure Framework for the Deployment of Microservices using Cloud Container Technology -- Time Series Analytics – A fuel to Data Science in forecasting Analytics for time stamped data -- Sparse Autoencoder and Deep learning based Framework for Multi-label Classification of Chronic Diseases -- A Comparative study of different machine learning based feature extraction techniques in bacterial image classification -- Cloud removal and satellite image reconstruction using Deep Learning based Image inpainting approaches -- A Novel Cipher Technique using Substitution and Transposition Methods -- Edge Computing: State of Art with Current challenges and future opportunities -- Deep Learning and Machine Learning Approaches for the Classification of Personality Traits: Review -- Two Level Priority Task Scheduling Algorithm For Real Time IoT Based Storage Condition Assessment System -- Intrusion Detection of Internet of Things Botnet Attacks using Data Mining Technique -- Code Tamper-proofing using Return Oriented Programming in IoT Devices -- Conversion of Punjabi Sign Language using Animation -- Deep Learning based Classification of Microscopic Fungal Images -- Application of Artificial Neural Network and Multiple Linear Regression in Predicting Consumer Attitude towards Use of Mobile Wallet -- Securing Unauthorized Access to Cloud Data Storage -- A Survey on Water Usage Optimization using Artificial Intelligence in Agricultural Sector -- The Role of Artificial Neural Network in Word Sense Disambiguation (WSD) - A Survey -- Covid-19 Challenges for digital education and critical analysis -- Cloud Computing: Concepts and Techniques with Service Provider Analysis -- Analyzing Frequency Rhythms in Posed and Spontaneous Emotions Using Time- Intensity of EEG Signals -- Improving Classification Performance Using The Semi-Pivoted QR approximation algorithm -- Comparative Study on Video Based Face Recognition Methods -- An Innovative Framework based Algorithmic Approach for Object Detection -- Smart Bus Concept of COVID-19 Prevention using Face-Bio Keys -- Data Integration Solutions - A Key to the Cloud Migration -- A Proposed Structure, primarily based totally on Cloud Computing for Enhancing Electronic Commerce Applications -- Deep Learning and Internet of Things (IoT) Based Irrigation System for Cultivation of Paddy Crop -- Review of Machine Learning Techniques for Analysis of Medical Data Sets -- Incorporating contextual information in prediction based word embedding models -- Distributed Cloud Data Center for Efficient Services in Logistics Management -- Plants Disease Detection using Image Processing using Tensor flow: A boon to agriculture -- Data Visualisation using Self-Organising Maps -- SQL Injection Attacks, Detection Techniques on Web Application Databases -- Deep Learning Based Brain Tumor Segmentation: Recent Updates -- Mobile Application for Smart Agriculture in India: "An Analytical Approach" -- Offline handwritten character recognition of Gujarati characters using convolutional neural network -- Forecasting Solar Energy on Time Frame: A Review -- Framework for Faster Index Search -- Image Classification by Optimized Convolution Neural Networks -- Benefits of Mining Fashion Data -- Current state of Engineering Education in India: Student Teacher scenario in online mode -- Estimating Blockchain using Time-series forecasting ARIMA -- Analyzing Online Reviews of Customers using Machine Learning Techniques -- Assessing between-group differences in implementation of Lean Six Sigma management conception -- Boosting Blockchain Mechanism using Cryptographic Algorithm in WSN -- Virtual Try-On using Augmented Reality -- Fractures Classification and Detection Using DIP And ML -- Sentiment Analysis in Social Media Website -- Artificial Intelligence based Techniques for Underwater Image Restoration and Enhancement.-A rapid computing technology on profound computing era with quantum computing -- Covid-19: Comparison of Time series forecasting models and Hybrid ARIMA- ANN -- YOLOV5 and Morphological Hat Transform Based Traffic Sign Recognition -- Optimizer Based Performance Study of Block Wise Fine-Tuning AlexNet -- Comparative study on Image Feature Extraction Techniques -- Cyber Security Threat and it's Global Perspective -- Detecting Cheating in Online Assessments using Face Recognition and Head Pose Estimation -- Opinion System of Real-Time Emotions from Human Interaction incoporated in Class using Deep Learning -- A Study on Automatic Detection of Alzheimer’s disease using Multimodalities -- IoT enabled smart tourism (IoTeST): tourism service dimension -- An Innovative Approach towards Designing Efficient K-Nearest Neighbour Algorithm -- Latest trends in Multi-Modality Medical Image Fusion: A Generic Review -- Comparison Study of Classification Techniques for Predicting Performance of Students using Weka Environment -- Multimodal Autism Detection in Children through Facial and Speech Emotion -- A Contemporary Learning on Smart Devices for Smart Metropolis -- Malpractice Detection in Online Assessment using Eye Gaze Tracking and Object Detection -- Big Data f5 Load Balancer with ChatBots Framework -- Keylogger awareness and use in Cyber Forensics.

Abstract: The book presents high-quality, peer-reviewed papers from the FICR International Conference on Rising Threats in Expert Applications and Solutions 2022 organized by IIS (Deemed to be University), Jaipur, Rajasthan, India, during January 7–8, 2022. The volume is a collection of innovative ideas from researchers, scientists, academicians, industry professionals, and students. The book covers a variety of topics, such as expert applications and artificial intelligence/machine learning; advance web technologies such as IoT, big data, cloud computing in expert applications; information and cyber security threats and solutions, multimedia applications in forensics, security and intelligence; advancements in app development; management practices for expert applications; and social and ethical aspects in expert applications through applied sciences.

Abstract: Section 1: IOT, Big Data and Cloud Computing -- Chapter 1. Big Data: A Boon to Fight against Cancer Using Mapreduce Framework -- Chapter 2. Security Attacks and its Countermeasures in RPL -- Chapter 3. An Optimal Policy with Parabolic Demand Carry Forwarded with Three-Parameter Weibull Distribution Deterioration Rate, Scarcity, and Salvage Value -- Chapter 4. Information Actions Use for System Activity: Action Modelling Schemas -- Chapter 5. High-Security Object Integrity and Manipulation of Conceal Information by Hiding Partition Technique -- Chapter 6. Performance Evaluation of FSO under Different Atmospheric Conditions -- Section 2: Smart Communication -- Chapter 7. Design and Performance Analysis of High-Reliability QOS-Oriented Adaptive Routing Protocol for MANET -- Chapter 8. Circular Patch Antenna with Perturbed Slots for Various Wireless Applications -- Chapter 9. A Secure Handshaking AODV Routing Protocol (SHS-AODV) with Reinforcement Authentication in MANET -- Chapter 10. AI-Powered Smart Routers -- Chapter 11. Modified Sierpinski Gasket Monopole Fractal Antenna for Sub 6GHz 5G Applications -- Chapter 12. Design of a Dual-Ring Resonator Antenna for WBAN Applications -- Chapter 13. Performance Analysis of MIMO Antenna for Isolation Improvement -- Chapter 14. Low Power and High-Speed Full Adder with Complemented Logic and Complemented XOR Gate -- Chapter 15. Determining the Number of Bit Encryption that is Optimum for Image Steganography in 8 Bit Images. etc.

Abstract: This book presents a collection of peer-reviewed best selected research papers presented at the First International Conference on Smart and Sustainable Technologies (ICSST 2021), organized by Department of ECE, GIET University, Gunupur, Rayagada, Odisha, India, during December 16–18, 2021. The proceedings of the conference have a special focus on the developments of local tribe and rural people using smart and sustainable technologies. It is an interdisciplinary platform for researchers, practitioners, and educators as well as NGO workers who are working in the area of web engineering, IoT and cloud computing, Internet of Everything, data science, artificial intelligence, machine learning, computer vision, and intelligent robotics, particularly for the rural and tribal development.

Abstract: Demand based Land Suitability Prediction Model for Sustainable Agriculture -- Power Generation Forecasting of Wind Farms using Machine Learning Algorithms -- Music Recommendation System Based on Emotion Detection -- Service Analytics on ITSM Processes using Time Series -- Comparative Analysis of Color-based Segmentation Methods Used for Smartphone Camera Captured Fingerphotos -- Prediction of Heart Disease through KNN, Random Forest and Decision Tree Classifier using K-Fold Cross Validation -- Distance Matrix Generation for Dynamic Vehicle Routing Optimization in Transport Fleets Management -- Enhancing Weighted Support Vector Machine for Noise Classification -- Optimized Hysteresis Region Authenticated Handover for 5G HetNets -- Performance Improvement of CTNR Protocol in Wireless Sensor Network Using Machine Learning.

Abstract: This book presents high-quality research papers presented at 3rd International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2021) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from November 13–14, 2021. The book extensively covers recent research in artificial intelligence (AI) that knits together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.