The Nigerian power sector faces frequent frequency instability issues that disrupt the balance between electricity supply and demand, causing power ou...
ARTIFICIAL NEURAL NETWORK-BASED FAULT DETECTION AND CLASSIFICATION IN 330KV THREE-PHASE TRANSMISSION LINES: A COMPARATIVE STUDY WITH CONVENTIONAL METH...
In order to solve degradation-related difficulties, a thorough knowledge of lithium-ion battery (LIB) behaviour is important given the rapid expansion...
This study focuses on optimizing the power factor of distribution transformers through the implementation of a shunt capacitor bank. By sizing and dep...
This paper presents the development of biometric exam fraud detection system using artificial intelligence technique. This aim is to employ facial rec...
This paper presents improving the reliability of critical safety instrument system using mathematical method and machine learning technique. The aim o...
Sepsis is a life-threatening disorder that may easily escalate to the deterioration of organs and death unless early detected and addressed. Early det...
This paper presents the development of an intranet-based staff management system with integrated instant messaging framework. The methodology employed...
Diabetes is a global health concern with millions of new cases annually. Early detection of the disease can prevent its progression and complications....
The traditional Low-Frequency Transformers (LFTs) have been used for a long time as fundamental units in electrical power systems, offering galvanic i...
This study presents an impartial scheduling algorithm that allocates the same time quantum to all processes. The selection of time quantum and preempt...
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