Computed tomography, are often formerly referred to as computerized axial tomography (CAT) scan, which is an X-ray procedure that combines many X-ray ...
The paper is a design and a realization of a deep learning-driven image classification system with the use of Convolutional Neural Networks (CNNs). Th...
This study developed an effective botnet detection and management system using machine learning techniques. An ensemble model combining Artificial Neu...
Spectrum management has become a burning problem in the Fifth-Generation (5G) wireless networks as a result of growing traffic load, scarcity of spect...
The growingcomplexity of modern power systems have driven the need for efficient and effective energy distribution mechanisms. Smart grid system has s...
This study presents an impartial scheduling algorithm that allocates the same time quantum to all processes. The selection of time quantum and preempt...
This paper aims to develop a model for reducing oil pipeline corrosion in the oil and gas industries using ant colony optimization techniques. The pri...
This study presents the development and analysis of a new block hybrid method for the direct solution of second-order initial value problems (IVPs) of...
The paper proposes a hybrid of adaptive interference canceller and fuzzy hibernation controller for improving the performance of a hub base transceive...
Stroke, a leading cause of disability and mortality worldwide, presents a critical challenge for healthcare systems. While demographic factors have tr...
This paper presents an optimal control simulation of a diesel injection system using a Neuro model predictive-based Electronic Control Unit (ECU). The...
The Nigerian power sector is grappling with significant frequency instability in its 330kV transmission network, a challenge intensified by aging infr...
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