Artificial Intelligence and Machine Learning for Sustainable Development -

Artificial Intelligence and Machine Learning for Sustainable Development

Innovations, Challenges, and Applications
Buch | Hardcover
274 Seiten
2024
CRC Press (Verlag)
978-1-032-77835-8 (ISBN)
149,60 inkl. MwSt
AI and ML for Sustainable Development: Innovations, Challenges, and Applications is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development.
Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development.

The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.

Dr Pawan Whig, Dean Research, Vivekananda Institute of Professional Studies-TC, India Dr Pavika Sharma, Assistant Professor, Bhagwan Parshuram Institute of Technology, India Dr Nagender Aneja, Program Leader (Computer Science), Universiti Brunei Darussalam, Brunei Dr Ahmad A. Elngar, Head of Computers and AI, Beni-Suef University, Egypt Dr Nuno Silva, Chief Scientific and Technology Officer, UnifAI Technology London, United Kingdom

Chapter 1 Obstacles and Resolutions: Integrating Artificial Intelligence in Sustainable Development. Chapter 2 Building a Sustainable Future: Education Initiatives and Employment Opportunities. Chapter 3 Energy Trading: Enhancing Sustainability in Renewable Resource Managementhapter 4 A Comprehensive Review on Artificial Intelligence/Machine Learning . Cmodels for Environmental Sustainability. Chapter 5 AI for Sustainable Development in Media and Entertainment Industry. Chapter 6 AI and Water Resource Management: Ensuring Access and Sustainability. Chapter 7 Building Blocks of Artificial Intelligence and Machine Learning: A Framework for Sustainable Development. Chapter 8 Sustainable Smart Cities in African Digital Space. Chapter 9 Smart City Governance and Citizen Engagement. Chapter 10 Fighting Fraud with Algorithms: AI Solutions for Claim Detection and revolutionizing fraud detection in insurance . Chapter 11 Challenges and Ethical Considerations Regarding AI and Media Practitioners: Towards a Sustainable Relationship. Chapter 12 Innovative Applications of AI for Sustainable Supply Chain Management in Environmental Conservation. Chapter 13 Challenges and Prospects of Implementing AI- powered Retail and Consumer packaged Solutions in the Global Supply Chain for Enhanced Well-being. Chapter 14 The Future of Business is Intelligent in Education: AI for Efficiency, Innovation, and Growth. Chapter 15 Ensuring Ethical Practices in AI and ML towards a Sustainable Future. Chapter 16 Charting the Ethical Horizon: A Deep Dive into AI Ethics, Unraveling the Moral Threads in Machine Intelligence Development. Chapter 17 Moving Beyond Gender: Recognizing Equality and Inclusivity Across Cultures through Feminist AI. Chapter 18 The Contribution of Artificial Intelligence to Foster Sustainable Food Systems in Agriculture. Chapter 19 Plastic Waste Management: Challenges and Potential Solution With the application of AI.

Erscheinungsdatum
Zusatzinfo 11 Tables, black and white; 28 Line drawings, black and white; 28 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 178 x 254 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Naturwissenschaften Biologie Ökologie / Naturschutz
Sozialwissenschaften Soziologie Spezielle Soziologien
Technik Umwelttechnik / Biotechnologie
Weitere Fachgebiete Land- / Forstwirtschaft / Fischerei
ISBN-10 1-032-77835-0 / 1032778350
ISBN-13 978-1-032-77835-8 / 9781032778358
Zustand Neuware
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