The global agricultural sector confronts significant obstacles such as population growth,
climate change, and natural disasters, which negatively impact food production and pose a …

The chapter explores the transformative role of artificial intelligence (AI) and machine
learning (ML) in sha** smart energy management systems (SEMS) and predicts …

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 integration of fuel cell technology with artificial intelligence and machine learning in
electric vehicles (EVs) has the potential to enhance efficiency, performance, and reliability …

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

Smart cities are transforming by integrating artificial intelligence (AI) drones for various
applications, including traffic monitoring, public space management, and surveillance …

The circular economy is a sustainable approach in the manufacturing sector that focuses on
long-lasting product design, remanufacturing, recycling, and waste reduction. This approach …

This chapter delves into the intricate dynamics and possibilities of fostering cohesive
interactions between humans and robots within collaborative environments. By examining …

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

Cybersecurity Issues and Challenges in the Drone Industry is a comprehensive exploration
of the critical cybersecurity problems faced by the rapidly expanding drone industry. With the …