ARTIFICIAL NEURAL NETWORK-BASED FAULT DETECTION AND CLASSIFICATION IN 330KV THREE-PHASE TRANSMISSION LINES: A COMPARATIVE STUDY WITH CONVENTIONAL METH...
This paper presents improving the reliability of critical safety instrument system using mathematical method and machine learning technique. The aim o...
This paper presents the development of biometric exam fraud detection system using artificial intelligence technique. This aim is to employ facial rec...
Deciding on the most suitable location for cell deployment continues to pose significant challenges for network administrators. Despite the operation ...
This research presents a neural network-based approach for classifying brain tumors using magnetic resonance imaging (MRI). The primary objective is t...
The Nigerian power sector faces frequent frequency instability issues that disrupt the balance between electricity supply and demand, causing power ou...
ARTIFICIAL INTELLIGENCE: MACHINE LEARNING FOR GENDER DISPARITY RESOLUTION
Oct 23, 2026
This research addresses gender disparity in academic achievement through an innovative approach, integrating predictive analytics and strategic mitiga...
This paper is targeted at improving the performance of an obstacle avoidance autonomous mobile robot using transfer learning technique. This research ...
This study aimed to enhance the security of Nigeria's 330kV grid network through the implementation of intelligent margin and sensitivity-controlled F...
The growing prevalence of pipeline failures has given rise to significant economic, social, and environmental consequences, necessitating urgent inter...
Multipath propagation remains a major challenge in wireless communication systems, causing signal degradation, fading, and reduced transmission reliab...
Voltage stability issues are a major concern in Nigeria due to many system failures and surges in electrical installations around Enugu. Owing to the ...
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