ARTIFICIAL NEURAL NETWORK-BASED FAULT DETECTION AND CLASSIFICATION IN 330KV THREE-PHASE TRANSMISSION LINES: A COMPARATIVE STUDY WITH CONVENTIONAL METH...
The increasing sophistication of cyber threats, particularly against critical infrastructure like healthcare Internet of Things (IoT) networks, demand...
This project delves into the transformative potential of integrating blockchain technology into real estate transactions, with a primary focus on enha...
Brain tumours have been known to be detected early and accurately as a constituent of effective clinical intervention and better patient survival. Nev...
This paper presents improving the reliability of critical safety instrument system using mathematical method and machine learning technique. The aim o...
This study presents a Deep Neural Network (DNN) model for short-term load forecasting for mitigation of losses in power system. The model developed in...
The growing prevalence of pipeline failures has given rise to significant economic, social, and environmental consequences, necessitating urgent inter...
The rapid evolution of computer technology and networking has transformed the way individuals, organizations, and nations communicate, interact, and c...
The traditional Low-Frequency Transformers (LFTs) have been used for a long time as fundamental units in electrical power systems, offering galvanic i...
This paper presents the modeling of intelligent handover decision algorithm for 4G mobile network using genetic algorithm. The aim is to ensure that t...
This paper presents the detection and isolation of black hole attack in wireless broadband ecosystem using artificial intelligence technique. Many lit...
In order to solve degradation-related difficulties, a thorough knowledge of lithium-ion battery (LIB) behaviour is important given the rapid expansion...
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