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 …

This study delves into the integration of Artificial Intelligence (AI) within the field of health
informatics and its transformative effect on public health outcomes in Africa. It will cover how …

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

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 …

Water scarcity and poor quality are major challenges in agriculture, affecting crop growth
and food security. IoT and AI techniques are being explored for sustainable development …

The chapter explores the integration of drones, machine learning, and artificial intelligence
(AI) in smart city development. Drones can revolutionize urban planning, energy efficiency …

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 drug discovery and design process has been significantly transformed by the integration
of data science, artificial intelligence (AI), green chemistry principles, and affordable …