附註:Includes bibliographical references and index.
Chapter 1. Automatic rifle and sniper detection using pose estimation and CNN with BiLSTMs -- Chapter 2. Autonomous agriculture: the role of IoT, AI, and ML in drone operations -- Chapter 3. Deep learning models for predicting high and low tides with gravitational analysis -- Chapter 4. Energy cascade conversion system and energy-efficient infrastructure -- Chapter 5. Hybrid approach for quantifying company assets using structural credit risk models -- Chapter 6. Information retrieval system on the web: challenges and issues -- Chapter 7. Intelligent information retrieval, neural networks, and their applications for smart cities -- Chapter 8. Smart healthcare system, digital health and telemedicine, management and emergencies: patient emergency application (PES) e-governance applications -- Chapter 9. Smart prediction farming using deep learning and AI techniques -- Chapter 10. Soil quality prediction using deep learning -- Chapter 11. Succeeding India's retail digital currency -- Chapter 12. Sustainable development using IoT and AI techniques for water utilization in agriculture.
摘要:"In the age of immediate technical expansion, our world faces a multifaceted challenge: ensuring the sustainability of our digital transformation. Governments and organizations have wholeheartedly embraced innovative technologies such as artificial intelligence, blockchain, and e-governance, but in doing so, they have encountered a complex web of issues. These range from cybersecurity concerns in an increasingly digitalized world to the need for intelligent systems capable of managing automation infrastructure and interconnected environments.Sustainable Development in AI, Blockchain, and E-Governance Applications offers a forward-thinking approach that harnesses the synergy between intelligent systems, machine learning, deep learning, and blockchain methods. It explores data-driven decision-making, automation infrastructure, autonomous transportation, and the creation of connected buildings, all aimed at crafting a sustainable digital future. By delving into topics like machine learning for smart parking, disease classification through neural networks, and the Internet of Things (IoT) for smarter cities, this book equips academic scholars with the tools they need to navigate the complex terrain of technology and governance. Academic scholars and researchers in technology, governance, and sustainability will find this book to be an indispensable resource. It caters to those seeking a comprehensive understanding of current and future trends in the integration of intelligent systems with cybersecurity applications."--
