The green power sector is revolutionizing energy production, grid management, and
sustainability by integrating cloud computing and machine learning techniques. This chapter …

The book explores the use of artificial intelligence (AI) in power monitoring systems for SMEs
to enhance energy efficiency, reduce operational costs, and ensure sustainability. It …

The integration of fog computing and machine learning (ML) in digital healthcare has
revolutionized patient care, operations, and personalized treatment. This chapter explores …

Modern agriculture faces numerous challenges, ranging from rising global food demand to
water scarcity. To address these issues, the incorporation of intelligent machines, the …

This chapter delves into the intricate relationship between innovation and security in the
digital age. It highlights the challenges of the digital age and the transformative impact of …

The global energy landscape is shifting towards sustainability due to environmental
concerns and technological advancements. This transformation involves integrating …

Abstract Machine learning is revolutionizing healthcare by offering innovative solutions to
complex challenges. This chapter explores the practical strategies, ethical considerations …

This chapter explores the role of artificial intelligence (AI) in the energy sector, focusing on
energy forecasting, optimization, and demand management. It highlights the importance of …

This chapter discusses the role of cloud computing and intelligent parking systems in
sustainable smart cities, addressing challenges like traffic congestion, pollution, and …

Cloud computing has revolutionized IT infrastructure deployment and management, but it
also presents security and resilience challenges. The study delves into the principles and …