This paper explores the transformative integration of deep learning applications in the
deployment of Wireless Sensor Networks (WSNs). As WSNs continue to play a pivotal role in …

Optimization approaches in machine learning (ML) are essential for training models to
obtain high performance across numerous domains. The article provides a comprehensive …

Abstract Artificial Intelligence (AI) realizes Wireless Sensor Networks (WSNs) as a dynamic
environment of battery-powered sensor nodes. These nodes are carefully built to monitor …

In order to meet the growing needs for wireless communication in dynamic and diverse
circumstances, Cognitive Radio Networks (CRNs) have evolved as a transformational …

This policy framework, when implemented over time, will provide a strategic roadmap for
smart cities to achieve net-zero emissions. This promotes sustainable urban expansion and …

An industry-wide paradigm change has been sparked by the growth of Internet of Things
(IoT)-based Wireless Sensor Networks (WSNs), which has made reliable and effective …

The objective of this study is to investigate the use of photoelectric conversion technology in
the process of creating enhanced photoelectric signal sampling systems using photoelectric …

Effective emergency material allocation is critical for mitigating the impact of critical
incidents. This paper proposes a decision-making model for emergency material allocation …

Medical imaging plays an essential role in modern healthcare, helping accurate diagnoses
and effective treatment strategies. Still, the quality and interpretability of medical images are …

Smartphones have become an vital contraption in agribusiness when you consider that their
movability arrange with developing, the price of the tool is relatively on hand, and their …