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

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 …

This chapter explores the intersection of blockchain technology, fuel cell vehicles, and
intelligent battery management systems (BMS) in the context of India's e-mobility landscape …

Additive manufacturing (AM), commonly known as 3D printing, has emerged as a
transformative technology with profound implications for multiple industries. The …

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 …

The healthcare sector has benefited greatly from the integration of AI/ML with distributed
technologies like edge computing, blockchain, and Internet of Things (IoT) to address …

This chapter emphasizes the significance of sustainable manufacturing processes in
mitigating environmental impacts. It highlights strategies to reduce carbon footprints …

AI has significantly transformed human resources (HR) by enhancing recruitment, talent
acquisition, employee engagement, performance management, learning, and HR analytics …

The integration of ML, IoT, and NSA promotes significant opportunities for promoting
sustainability in various industries. Actionable insights, while IoT devices collect data for real …

The construction industry is set for a transformative era with advancements in engineered
cementitious composites (ECC) and alternative materials. This chapter explores their …