Computed tomography, are often formerly referred to as computerized axial tomography (CAT) scan, which is an X-ray procedure that combines many X-ray ...
Heart disease has dominated the cause of mortality rate in the world. In western African, high kolanut intake has been reported to be one of the main ...
This research presents a neural network-based approach for classifying brain tumors using magnetic resonance imaging (MRI). The primary objective is t...
The weed invasion is one of the most severe challenges to sustainable rice production, which diminishes crop production and over depends on herbicides...
This paper presents the application of machine learning technique and recursive polynomial estimator for improving the reliability of critical safety ...
This study focused on the detection of electricity meter bypass in Nigeria using machine learning algorithms. The aim was to develop an intelligent mo...
The adoption of Internet of Things (IoT)-based monitoring and control systems in the oil and gas industry offers the promise of revolutionizing pipeli...
The background of the study centres on the challenges faced in contract litigation due to the complexity and volume of legal documents involved. Tradi...
Gliomas are among the most aggressive brain tumors experienced and the accurate classification of such disease is critical for effective diagnosis and...
The changing nature of the frequency and complexity of cyber threats necessitates the need to implement network security based on intelligent and adap...
This study explores the evolution of wireless technology from 1G to 5G, highlighting the progress and benefits of 5G networks, including faster data s...
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