Electrocardiogram (ECG) is one among the most common detecting techniques in the
analysis and detection of cardiac arrhythmia adopted due to its cost efficiency and simplicity …

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 …

In modern Nigerian supply chain management, the adjudication of intellectual property
rights has gained paramount importance. With the rapid advancement of technology, 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 …

This chapter discusses the use of an intelligent physarum solver (IPS) to optimize profit in
oligopolistic supply chain networks. The IPS, inspired by the foraging behavior of the …

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

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