ARTIFICIAL NEURAL NETWORK-BASED FAULT DETECTION AND CLASSIFICATION IN 330KV THREE-PHASE TRANSMISSION LINES: A COMPARATIVE STUDY WITH CONVENTIONAL METH...
This paper presents the development of an intelligent system for the detection of coronavirus using artificial neural network. This was done after ser...
The background of the study centres on the challenges faced in contract litigation due to the complexity and volume of legal documents involved. Tradi...
This paper presents the development of ghost workers detection system using biometric based convolutional neural network. The study started with liter...
Brain tumours have been known to be detected early and accurately as a constituent of effective clinical intervention and better patient survival. Nev...
This study aimed to enhance the security of Nigeria's 330kV grid network through the implementation of intelligent margin and sensitivity-controlled F...
This research is focused on enhancing the performance of data switched networks using the knockout principle and parallel fabrics. The high demand of ...
This paper presents the modeling of an intelligent virtual power plant for optimal energy network management and control using machine learning techni...
This paper presents a predictive algorithm for the early detection of neuropathic diabetes using machine learning. The study aimed at developing a mac...
Ensuring real-time data transfer in Wireless Industrial Control System (WICS) networks has been a persistent challenge, marked by issues such as secur...
This study investigates the performance and operation of the adaptive Decision-Feedback Equalizer (DFE) in wireless communication networks. The DFE is...
Wireless Sensor Networks (WSNs) are crucial for various applications, and ranking sensor nodes within these networks is a fundamental challenge. The S...
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