ARTIFICIAL NEURAL NETWORK-BASED FAULT DETECTION AND CLASSIFICATION IN 330KV THREE-PHASE TRANSMISSION LINES: A COMPARATIVE STUDY WITH CONVENTIONAL METH...
This paper presents the modeling of vehicle accident prevention and control system using machine learning technique. The study revealed from literatur...
Gliomas are among the most aggressive brain tumors experienced and the accurate classification of such disease is critical for effective diagnosis and...
The rapid proliferation of the internet and the heterogeneity of user equipment have led to complex challenges in managing network traffic and ensurin...
This paper on automated data labeling for health care using integrated deep learning technique was aimed at developing a software application system i...
This paper presents the modeling of a deep learning and fuzzy logic behavioral approach for the autonomous navigation of a robot in a Global Positioni...
The Nigerian power sector faces frequent frequency instability issues that disrupt the balance between electricity supply and demand, causing power ou...
This paper presents improving the quality of power supply in 0.75MVA, Maryland 33/11kv distribution network using passive harmonic filtering scheme. T...
This paper presents the improvement ofenergy efficiency on a mobile ad-hoc network(MANET) using an energy optimization algorithm (EOA). The study addr...
This paper presents addressing constraints of mobility management in 4G network through hybrid optimization technique. Literatures were reviewed and r...
This paper presents a predictive algorithm for the early detection of neuropathic diabetes using machine learning. The study aimed at developing a mac...
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