The paper presents a review of machine learning approaches for the early detection of Stress and Hypertension (SH) in pregnant women. It discusses the...
This paper addresses a pressing issue in Nigeria's transportation landscape and proposes an innovative solution using artificial intelligence. The ban...
This paper presents improving the quality of power supply in a distribution network using a genetic-based SVC. The research methodologies used in this...
This paper on the improvement of fuel consumption using an intelligent neuro-based MPC of aheavy-duty vehicle is focused on analyzing the performance ...
This paper presents the reduction of harmonic distortion in power transmission system using passive Fourier filtering technique The aim was to minimiz...
The growing prevalence of pipeline failures has given rise to significant economic, social, and environmental consequences, necessitating urgent inter...
This study presents the improvement of Nigeria’s 34-bus, 330/132?kV transmission network performance through Flexible AC Transmission System (FACTS)...
This research presents a neural network-based approach for classifying brain tumors using magnetic resonance imaging (MRI). The primary objective is t...
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 presents improving automatic brake performance in nonlinear vehicles using artificial
intelligence techniques. An empirical study of a fuz...
This work focused on optimizing the spectral efficiency of the Wi-Fi-Ad-hoc network connection used in the study. A cooperative relayed antenna diver...
This work is aimed at improving the bottle capping system with an adaptive model predictive controller. To achieve this, first, a robust pneumatic fri...
Showing 133 to 144 of 158 papers
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