In the ever-growing field of radio communications, better ways of modeling and boosting
channels are needed, especially for channels that change location in the near field. Here …

The rise of high-voltage direct current (HVDC) transmission systems has heralded a new era
in the field of electrical engineering, offering superior efficiency over long distances …

This research investigates the integration of hyperspectral imaging (HSI) and advanced
convolutional neural networks (CNNs) for the early detection of crop diseases, a critical …

Real-time electricity pricing (RTP) is pivotal for harnessing the full potential of smart energy
grids. Despite consensus on its benefits, the implementation of RTP schemes remains a …

In the expanding domain of affective computing, the quest for real-time human emotion
recognition and behavioral prediction has been significantly invigorated by advancements in …

Federated learning presents a promising approach for preparing machine learning models
while protecting information protection in cloud computing situations. This investigation …

This study introduces an advancement in the Grid Alignment Assistant System (GAAS) by
integrating machine learning to dynamically adapt to varying road conditions, vehicle …

A complete wireless network system for flexible resource sharing, spectrum management,
security, and cross-layer optimization is described in this paper. Five algorithms comprise …

This study focuses on behavioral biometrics and machine learning procedure that is
employed vigorous in the verification frameworks to improve cybersecurity. Elaborating …

People on every continent today have to deal with the continual threat of disasters, both
natural and man-made. Therefore, novel approaches are required to mitigate their negative …