附註:Includes bibliographical references and index.
Chapter 1. Quantum computing for IoT security -- Chapter 2. Forensic science: an integral component of the justice system -- Chapter 3. Data analytics for crop productivity -- Chapter 4. Dactylology prediction using convolution neural networks -- Chapter 5. A comparative analysis of antenna designs for 5G wireless communications -- Chapter 6. AI-based education for sustainability and the promotion of lifestyle and healthy diet -- Chapter 7. Classification of arsenic in groundwater samples using extreme learning machine and crow search algorithm for smart cities -- Chapter 8. Effective machine learning pricing model for Indian FMCG market -- Chapter 9. Exploring AI and machine learning integration in medical assistive robotics: an experimental approach -- Chapter 10. Gut microbiota and artificial intelligence -- Chapter 11. Integration of cloud, IoT, and AI for smart services -- Chapter 12. Intelligent engineering and applied sciences for comprehensive environmental sustainability: an interdisciplinary and cross-sectoral approach -- Chapter 13. Mathematical simulation to correlate sustainable and lean manufacturing: an industry of Mexicali, México -- Chapter 14. Micro electro-mechanical systems (MEMS) and its subset devices in the field of biotechnology and medical sciences -- Chapter 15. Novel approach for crop weed detection in wheat fields using deep learning algorithms: machine learning for weed detection-- Chapter 16. Optimization techniques for solar energy system design and operation -- Chapter 17. Pharmaceutical form of topical corticosteroid(s) and colloidal oat with a device for precise dosing -- Chapter 18. Quality of supply and customer engagement in the energy industry -- Chapter 19. Review of power electronics in renewable energy solutions for application sectors -- Chapter 20. Smart patient monitoring module using intelligent technologies-supported wireless application -- Chapter 21. Software modernization to embrace quantum technology -- Chapter
摘要:"In today's context of intricate global challenges, encompassing climate crises, resource scarcity, and social disparities, the imperative for sustainable development has never been more pressing. While academic scholars and researchers are instrumental in crafting solutions, they often grapple with the intricate balance between theoretical concepts and practical implementation. This gap impedes the transformation of innovative ideas into tangible societal progress, leaving a void where effective real-world strategies for cross-industry sustainability should flourish. "Fostering Cross-Industry Sustainability With Intelligent Technologies" seeks to bridge this divide. This book is more than just a collection of pages; it serves as a roadmap for those determined to make a tangible impact. It brings together a diverse group of esteemed experts from various disciplines, offering a comprehensive spectrum of actionable insights, all grounded inthe ethical imperatives of inclusivity and environmental responsibility. Anchored in the United Nations Sustainable Development Goals (SDGs), this volume serves as a guiding star, channeling theoretical expertise into practical solutions.For academic scholars, scientists, innovators, and students alike, Fostering Cross-Industry Sustainability With Intelligent Technologies is the definitive guidepost. It fosters a profound understanding of the real-world implications of research, promoting interdisciplinary collaborations that transcend conventional boundaries. This comprehensive book presents a wealth of sustainable science and intelligent technology applications, all while emphasizing the importance of ethicsand societal impact. With visionary insights woven throughout its pages, it calls upon humanity to envision a future where challenges transform into opportunities, and sustainable development becomes an attainable reality."--
