Chapter 1. A Hybrid Machine Learning Approach for Enhanced Prediction of Breast Cancer with Lasso Method for Feature Extraction -- Chapter 2. A Comparative Overview of Deep Learning Aided Image Generation. Chapter 3. Enhancing Pneumonia Detection in Chest X-Rays: A Combined GAN and CNN Approach -- Chapter 4. A Data Driven AI Framework for Conversational Bot by Vision Transformers in Health Care Systems -- Chapter 5. Predictive Modelling of Cardiac Disease: Enhancing Accuracy through Machine Learning Algorithms and Borderline-SMOTE Technique -- Chapter 6. An AI-Driven Model for Decision Support Systems -- Chapter 7. Exploring Music Genres through Facial Emotions: Intelligent Data Processing and Machine Learning -- Chapter 8. Optimizing Cloud Task Scheduling through Innovative Metaheuristic Algorithm and Impulsive Fuzzy C-Means -- Chapter 9. Cirrhosis Patient Survival Prediction Analysis using Ml Algorithms -- Chapter 10. Learnable Discrete Wavelet(LDW) Pooling in CNN for Multidisciplinary Disease Prediction in Healthcare -- Chapter 11. Autonomous Human Computer Interaction System in Windows Environment using YOLO and LLM -- Chapter 12. Deep Learning based Animal Intrusion Detection System -- Chapter 13. Sustainable Crop Monitoring and Management for Enhanced Agricultural Productivity through IoT, AI & ML: Case Studies and Innovations -- Chapter 14. Design of an Auto Evaluation Model for Subjective Answers using Natural Language Processing and Machine Learning Techniques -- Chapter 15. Navigating the Radiological Landscape: A Cutting-Edge Hybrid VGG16-EfficientNet Model for Improved CT Scan Interpretation -- Chapter 16. Optimized Scene Text Detector and Paddle Optical Character Recognizer Techniques to Extract Text from Images -- Chapter 17. A Cost-Sensitive Sparse Auto-Encoder based Feature Extraction for Network Traffic Classification using CNN.-....etc.

This book presents a comprehensive collection of research chapters focusing on innovative solutions to energy and sustainability challenges. It reflects the collaborative efforts of researchers worldwide, showcasing novel approaches to complex problems. Topics discussed range from securing cyber-physical systems to revolutionizing healthcare with AI and robotics, emphasizing sustainable research. The book emphasizes smart and sustainable energy solutions, highlighting advancements in solar panel efficiency, fault analysis, and fuzzy-controlled converters for grid-tied photovoltaic systems. Additionally, it explores AI's transformative potential in water solutions, agriculture, and renewable energy technologies across domains like smart cities, transportation, and healthcare. The insights shared aim to inspire further research, foster discussions, and drive real-world impact toward a resilient, inclusive, and sustainable future. · Discusses issues and offers sustainable solutions to meet the challenges faced by today's economy and industry. · Presents recent research in the sustainable transformation of engineering and technological systems. · Serves as a valuable resource for both academic researchers and industry practitioners interested in Artificial Intelligence (AI) and smart energy sectors.