This study explores the evolution of wireless technology from 1G to 5G, highlighting the progress and benefits of 5G networks, including faster data s...
This paper presents the development of an e-nose for the detection of hazardous gases using a machine learning approach. The aim was to develop an int...
This research presents a neural network-based approach for classifying brain tumors using magnetic resonance imaging (MRI). The primary objective is t...
This work is presented to demonstrate the principles and technical procedure for energy hybridization in optimal Unmanned Aerial Vehicle (UAV) operati...
The growing appreciation and usage of cloud computing has heightened the need for a sound network-management practice, particularly under a dynamic an...
Zero-day attacks pose one of the most formidable challenges in modern cybersecurity due to their unpredictability and the absence of prior signatures....
The changing nature of the frequency and complexity of cyber threats necessitates the need to implement network security based on intelligent and adap...
This research addresses the limitations of the current wireless network due to fixed spectrum assignment, leading to inefficient spectrum usage and ne...
Computed tomography, are often formerly referred to as computerized axial tomography (CAT) scan, which is an X-ray procedure that combines many X-ray ...
Due to the growing need for wireless broadband, there is a continued increased request for dynamic spectrum access of TV White Spaces (TVWS) by most c...
This study presents a Deep Neural Network (DNN) model for short-term load forecasting for mitigation of losses in power system. The model developed in...
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