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Full Description
This book offers a comprehensive collection of 35 research contributions that explore the diverse and growing impact of machine learning across various domains. By aligning its themes with Sustainable Development Goals (SDG9: Industry, Innovation and Infrastructure), the book examines the practical applications ranging from healthcare, agriculture, cybersecurity and renewable energy systems to natural language processing, education and defense technologies. Each contribution highlights contemporary challenges, innovative methodologies and real-world implementations, offering insights into the interdisciplinary nature of machine learning research. The book serves as a valuable reference for researchers, practitioners and students interested in the evolving applications of machine learning to address complex and multidisciplinary problems.
Contents
A Comprehensive Review of Vison Language Models in the Realm of Full Self Driving Systems.- Optimal Defense Strategies for Security Agencies: A Dual Hesitant Fuzzy Matrix Game Approach.- Crop Type Classification using Satellite Images.- Fraud Detection using ML Algorithms.- Analysis of CNN Models with Transfer Learning in Mango Diseases Detection.- Evaluating Machine Learning Techniques for Student Performance Prediction in Higher Education.- Threshold-Optimized Ensemble Learning for Accurate and Secure Android Malware Detection.- Affective DDoS Attack Detection in EV Charging Station using DL Autoencoder Model.- Federated Learning for Privacy-Preserving Next- Word Prediction on Mobile Devices.- AI Based Plant Health Monitoring under Stress Conditions.- Enhanced Weather Forecasting using Random Forest, LSTM, Gradient Boosting and Ensemble Learning (RF+GB).- Spatio-Temporal Analysis and Severity Prediction of Weather Events using Machine Learning Models.- Image Deblurring using Generative Adversarial Networks (GAN).- Triple-head Spatial Attention based Deep Learning Approach for Plant Disease Identification.- Agent Based Analysis for Smart Traffic Management.- Smart Solutions in Veterinary and Animal Sciences: Applications of AI, ML and Soft Computing.- Helmet Mounted IoT based Physiological Health Monitoring System for Soldiers.- Weather-Based Fault Detection in Solar Power Generation by ML.- Advanced Price Forecasting for Food Commodities.- A Practical and Explainable Network Anomaly Detection System for Enhanced Cybersecurity.- Augmenting AI with Context: Hybrid Generative Models for Summarizing Complex Medical Texts.- Detection and Classification of Cassava Diseases using Concatenate Model.- AI based Solution for Smart Traffic Management.- Effective Visualization Approaches for Distributed Denial of Service Threat Prediction in Large-Scale Networks Using Interpretable Machine Learning.- A Novel approach to integrate AI into Judicial Systems.- Energy Efficiency in Software-Defined Wireless Network.- Enhanced Detection of Distributed Denial-of-Service (DDoS) Attacks in Cloud Computing using Transfer Learning, DBSCAN and Entropy Analysis.- Deep Transfer Learning with GUI for Rice Pests Classification and Preventive Recommendations.- A Hybrid Privacy-Preserving Framework for Cryptographic Efficiency in Vehicular Fog Computing Networks.- Explainable Image Classification of Indian Butterflies through Post-hoc Methods.- 5G Antenna Design Using Machine Learning Algorithms.- Robust Hybrid Cryptographic Method for Cloud Computing Information Security.- Advancing Water Quality Prediction: Integrating Ensemble Learning and Explainable AI for Actionable Insights.- Predicting Cryptocurrency Prices with Sentiment Analysis and Deep Learning Models.- RNN and Logistic Regression-Based Ensemble Model for Distinguishing AI-Generated Text.
