This book offers a comprehensive collection of 40 research contributions that explore the diverse and growing impact of machine learning across various domains. By aligning its themes with Sustainable Development Goals (SDG9: Industry, Innovation and Infrastructure), the book examines the practical applications ranging from healthcare, agriculture, cybersecurity and renewable energy systems to natural language processing, education and defense technologies. Each contribution highlights contemporary challenges, innovative methodologies and real-world implementations, offering insights into the interdisciplinary nature of machine learning research. The book serves as a valuable reference for researchers, practitioners and students interested in the evolving applications of machine learning to address complex and multidisciplinary problems.
This book offers a comprehensive collection of 40 research contributions that explore the diverse and growing impact of machine learning across various domains. By aligning its themes with Sustainable Development Goals (SDG9: Industry, Innovation and Infrastructure), the book examines the practical applications ranging from healthcare, agriculture, cybersecurity and renewable energy systems to natural language processing, education and defense technologies. Each contribution highlights contemporary challenges, innovative methodologies and real-world implementations, offering insights into the interdisciplinary nature of machine learning research. The book serves as a valuable reference for researchers, practitioners and students interested in the evolving applications of machine learning to address complex and multidisciplinary problems.
Millie Pant
machine learning Vison Language Models artificial intelligence game theory crop classification fraud detection mango diseases detection higher education Android malware detection health monitoring weather forecasting traffic management animal sciences motion sensor price forecasting