The rapid emergence of low-power embedded devices and modern machine learning (ML)
algorithms has created a new Internet of Things (IoT) era where lightweight ML frameworks …

Tiny Machine Learning (TinyML), a rapidly evolving edge computing concept that links
embedded systems (hardware and software) and machine learning, with the purpose of …

Bassey, Juliet, & Stephen, P. No. 2082-2099 Page 2083 accuracy. Key findings demonstrate
that AI-enhanced LCA models significantly improve the precision and depth of …

Green hydrogen, produced through the electrolysis of water using renewable energy
sources, is heralded as a cornerstone of the future sustainable energy landscape. Unlike …

Bassey, P. No. 571-588 Page 572 predictive capability allows for better planning and
optimization of energy storage solutions, ensuring that surplus energy generated during …

Deep learning models are widely being employed for object detection due to their high
performance. However, the majority of applications that require object detection are …

Over the past couple of decades, many telecommunication industries have passed through
the different facets of the digital revolution by integrating artificial intelligence (AI) techniques …

The rapid increase in data traffic caused by the proliferation of smart devices has spurred the
demand for extremely large-capacity wireless networks. Thus, faster data transmission rates …

Thin Films, Atomic Layer Deposition, and 3D Printing explains the concept of thin films,
atomic layers deposition, and the Fourth Industrial Revolution (4IR) with an aim to illustrate …

The escalating generation of industrial and consumer waste poses a significant
environmental challenge, necessitating innovative approaches to waste management and …