
Green Industrial Applications of Artificial Intelligence and Internet of Things
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Green Industrial Applications of Artificial Intelligence and Internet of Things
About this book
This book explores the intersection of the Internet of Things (IoT) and Artificial Intelligence (AI) in sustaining a green environment, sustainable societies, and thriving industries. It offers a comprehensive exploration of how these technologies intersect and transform various sectors to enhance environmental conservation, societal well-being, and industrial progress. The book features a diverse array of case studies, methodologies, and notes on technological advancements. Readers will gain valuable insights into the impact of AI and IoT on sustainable initiatives through real-world examples, research findings, and discussions on future directions. Key themes AI in complex and versatile scenarios: Chapters 1 and 4 explore AI applications in combatant identification and COVID-19 monitoring
IoT for efficiency and data-driven decision-making: Chapters 2, 3, and 7 focus on IoT implementations in battery monitoring for electric vehicles, healthcare systems, and precision farming
AI for diagnostics and computer vision: Chapters 5, 9, and 13 highlight AI-driven solutions for plant disease detection, fetal spine disorder detection, and defect detection
Industry applications: Chapters 6, 8, 10, 11, 12, 14, 15, 16, and 17 cover AI and IoT in healthcare, transportation, supply chain management, endangered species protection, crop management, and pollution detection, showcasing their transformative potential across various domains.
This book is ideal for readers with multidisciplinary backgrounds, including researchers, academics, professionals, and students interested in IoT, AI, environmental sustainability, healthcare, agriculture, smart technologies, and industrial innovation. Readership Researchers, academics, professionals, and students interested in sustainable AI and IoT."
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Table of contents
- Welcome
- Table of Content
- Title
- BENTHAM SCIENCE PUBLISHERS LTD.
- FOREWORD
- PREFACE
- List of Contributors
- Advanced Rival Combatant Identification with Hybrid Machine Learning Techniques in War Field
- An IoT Based Battery Condition Monitoring System for Electric Vehicles
- IoT Covid Patient Health Monitoring System
- Artificial Intelligence in Healthcare
- Image-Based Plant Disease Detection Using IoT and Deep Learning
- Artificial Intelligence (AI): A Potential Technology in Healthcare Sector
- Precision Farming Using IoT for Smart Farming
- Impact of Artificial Intelligence (AI) and Internet of Things (IOT) On the Healthcare Sector: A Review
- Curvelet Based Seed Point Segmentation Methodology Using Digital Biomarker for Abnormality Detection in Fetal Spine Disorder
- The Effect of the Internet of Things, Artificial Intelligent and Tracking on Smart Transportation
- The Influence of Artificial Intelligent, Internet of Things and Cyber Security on Supply Chain Management Performance
- Automated Smart Prediction of Heart Disease Using Data Mining
- Deep Learning-Based Detection of Defects from Images
- Deploying XAI with IoT for the Protection of Endangered Species
- Application of Machine Learning Approaches in Crop Management
- AI and IoT-Enabled solutions for Protection of Species on Earth
- Air Pollution Detection in Covid-19 Ward: An Artificial Intelligence Approach