The Nigerian power sector is grappling with significant frequency instability in its 330kV transmission network, a challenge intensified by aging infr...
This research addresses the limitations of the current wireless network due to fixed spectrum assignment, leading to inefficient spectrum usage and ne...
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 paper reviews the impacts of machine learning and artificial intelligence technology to improve the educational sector and teaching/learning effi...
This study focused on the detection of electricity meter bypass in Nigeria using machine learning algorithms. The aim was to develop an intelligent mo...
In the ever-evolving landscape of modern telecommunications, the increased demands on data networks driven by the proliferation of connected devices a...
Since driver fatigue is a major contributor to traffic accidents globally, identifying it early on is essential to improving road safety. Considering ...
This paper on the improvement of fuel consumption using an intelligent neuro-based MPC of aheavy-duty vehicle is focused on analyzing the performance ...
The paper presents a review of machine learning approaches for the early detection of Stress and Hypertension (SH) in pregnant women. It discusses the...
Voltage stability issues are a major concern in Nigeria due to many system failures and surges in electrical installations around Enugu. Owing to the ...
The underutilization of the constrained spectrum by the fixed channel allocation strategy and the increasing demand for seamless wireless services pro...
Gliomas are among the most aggressive brain tumors experienced and the accurate classification of such disease is critical for effective diagnosis and...
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