Full Description
In an era where technological advancements are reshaping industries and societies, the convergence of Artificial Intelligence (AI), the Internet of Things (IoT), and Sustainability initiatives is driving unprecedented change. "Future of AI, IoT, and Sustainability" explores the transformative power of these technologies and their role in creating a more sustainable, efficient, and interconnected world.
This insightful volume brings together leading experts and thought leaders to examine the latest innovations at the intersection of AI, IoT, and Sustainability. Through a series of compelling chapters, readers will discover how AI and IoT are revolutionizing industries such as energy, agriculture, transportation, and urban development, offering new solutions to the pressing challenges of climate change, resource management, and environmental preservation.
Whether you are a technologist, policy maker, researcher, or sustainability advocate, this book provides a comprehensive guide to understanding the future landscape of AI, IoT, and sustainability. It offers practical insights and forward-thinking strategies that will inspire and equip you to contribute to a greener, smarter, and more sustainable future.
Contents
High-Tech Agriculture using AI and IOT.- Futuristic development in health care using digital twin technology and AIoT.- Security, Privacy, and Interoperability in IoT Ecosystems.- Advancements in Smart Farming: Leveraging Artificial Intelligence and Internet of Things for Sustainable Agricultural Management.- Towards Sustainable Living: Eco-Friendly Design and Environmental Impacts of IoT Home Automation Systems.- EEG-based BCI Technology in IoT enabled Smart Home Environment: An in-depth Comparative Analysis on Human-Computer Interaction Techniques.- Smart Payment System-Using RFID Technology Sarthak Johri1, Perepi Rajarajeswari2*, Ishank Goel3, Aryan Mudgal4.- AI and IoT for Environmental Sustainability: A Comprehensive Analysis in Line with Sustainable Development Goals.- Machine Learning Approaches for Anomaly Detection in IoT Systems.- Tech-Enabled Sustainability: Leveraging Technology for a Greener Future through Smart Climate Agriculture.- Potato Disease Classification in an Uncontrolled Environment using Deep Learning Approaches.- Leveraging AI and IoT for Enhanced Resource Efficiency in Sustainable Smart Cities.- Synergizing MEMS Technology and Artificial Intelligence for Enhanced Sensor Applications.- Connected Realities: Exploring IoT's Technological Marvels and Varied Applications.- Sustainable Electric Vehicle Market Segmentation Using Deep Learning Techniques.- Energy Management for Household Integrated with Renewable and Electric Vehicle.- Implementation of Skin Disease Identification and Analysis through Deep Learning.
