Abstract Waste-to-energy (WtE) is a process that generates electricity and heat from waste
treatment or processing into fuel sources. WtE can reduce greenhouse gas emissions …

AI has had a substantial influence on image processing, allowing cutting-edge methods and
uses. The foundations of image processing are covered in this chapter, along with …

The combination of artificial intelligence, 5G technology, and cloud computing has altered
energy conversion processes, most notably the use of agricultural waste for sustainable …

The integration of deep learning and blockchain technologies has the potential to
revolutionize soil quality prediction in smart agriculture. Deep learning models, like neural …

The chapter introduces the concepts of sustainability, green manufacturing, and lean
manufacturing, emphasizing their importance in the manufacturing industry. It then highlights …

This chapter investigates the conversion of wastewater into sustainable energy through the
use of novel methods such as anaerobic digestion, microbial fuel cells, geothermal …

Monitoring and controlling energy use is critical for efficient power system management,
particularly in smart grids. The internet of things (IoT) has compelled the development of …

Hospital waste management is crucial for healthcare operations, ensuring safe disposal and
handling of waste types. The integration of IoT and deep learning technologies offers a …

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

Urban problems like traffic jams and a lack of parking spaces can be solved in an innovative
way with the help of smart parking models powered by AI and blockchain technology. These …