Artificial Intelligence and Machine Learning for Sustainable Development

Innovations, Challenges, and Applications
Herausgeber: Elngar, Ahmed A.; Whig, Pawan; Sharma, Pavika; Silva, Nuno; Aneja, Nagender

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 280
• Erscheinungstermin: 18. Dezember 2024
• Englisch
• Abmessung: 254mm x 178mm
• ISBN-13: 9781032778358
• ISBN-10: 1032778350
• Artikelnr.: 71185069

Autorenporträt

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

Inhaltsangabe

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.