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

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

A typical wireless sensor network (WSN) contains wirelessly interconnected devices, called
sensor nodes, which have sensing, processing, and communication abilities and are …

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 …

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 …

Abstract esigning Deep Learning (DL) models for medical image classification tasks poses
significant challenges, demanding substantial expertise owing to the intricate nature and …

Wireless sensor networks (WSNs) have become essential elements in the advancement of
smart cities, enabling the collection and analysis of data in real time for a wide range of …

In the context of fifth generation (5G) technology, Device-to-Device (D2D) communication
plays a pivotal role, requiring swift and intelligent decision-making in mode selection and …