This paper reviews the impacts of machine learning and artificial intelligence technology to improve the educational sector and teaching/learning effi...
ARTIFICIAL NEURAL NETWORK-BASED FAULT DETECTION AND CLASSIFICATION IN 330KV THREE-PHASE TRANSMISSION LINES: A COMPARATIVE STUDY WITH CONVENTIONAL METH...
The Nigerian power sector is grappling with significant frequency instability in its 330kV transmission network, a challenge intensified by aging infr...
This paper improves the protection of 330kV transmission line using a Phasor Measurement Unit (PMU) based relay. This aim is to ensure that accurate l...
Spectrum management has become a burning problem in the Fifth-Generation (5G) wireless networks as a result of growing traffic load, scarcity of spect...
The increasing sophistication of cyber threats, particularly against critical infrastructure like healthcare Internet of Things (IoT) networks, demand...
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 increasing complexity of cyber threats has made traditional network defence mechanisms inadequate; especially in smart environments handling high-...
This paper introduces a smart farm pest monitoring and detection system utilizing machine learning techniques. The objective of this study is to devel...
This study presents a finite element-based approach to the mathematical modeling and dynamic analysis of a flexible three-degree-of-freedom (3DoF) rob...
This paper on improving the precision of electro-pneumatic actuator based robotic bottle capper using Adaptive Model Predictive Control is focused on ...
Robotic manipulators have become a cornerstone of modern automation, playing a critical role in industrial production, healthcare systems, space explo...
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