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...
This study presents the improvement of Nigeria’s 34-bus, 330/132?kV transmission network performance through Flexible AC Transmission System (FACTS)...
Wireless Sensor Networks (WSNs) are crucial for various applications, and ranking sensor nodes within these networks is a fundamental challenge. The S...
The underutilization of the constrained spectrum by the fixed channel allocation strategy and the increasing demand for seamless wireless services pro...
This paper presents development of a Multi Level Intrusion Detection System (MLIDS) for cloud-based log management using machine learning technique. T...
This paper introduces a smart farm pest monitoring and detection system utilizing machine learning techniques. The objective of this study is to devel...
This paper focuses on improving the performance of the SCADA network in a 330/132kV transmission station by employing a phasor-based intelligent monit...
This paper presents the modeling of vehicle accident prevention and control system using machine learning technique. The study revealed from literatur...
This research presents a neural network-based approach for classifying brain tumors using magnetic resonance imaging (MRI). The primary objective is t...
This paper presents the modeling of a real-time flood detection and control system using machine learning techniques. The experimental and simulation ...
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