This study focuses on optimizing the power factor of distribution transformers through the implementation of a shunt capacitor bank. By sizing and dep...
Diabetes is a global health concern with millions of new cases annually. Early detection of the disease can prevent its progression and complications....
Abstract
This paper work is aimed at improving the resource reservation of wireless sensor network. Recently, internet networking has expanded rapid...
To identify and mitigate adversarial attacks, this paper explores the development of an intelligent and secure model for a 5G cloud-based facility uti...
This paper presents the development of an artificial intelligence-based short-term load forecasting system for demand site management of the Trans-Eku...
The study presents modelling a smart adversarial threats detection system using hybrid of Bi-Directional Generative Adversarial Network (Bi-GAN) and B...
Technological Incubation Centers (TICs) are vital institutions for fostering entrepreneurship, innovation, and economic development, particularly in e...
This study focused on the detection of electricity meter bypass in Nigeria using machine learning algorithms. The aim was to develop an intelligent mo...
This paper presents a predictive algorithm for the early detection of neuropathic diabetes using machine learning. The study aimed at developing a mac...
This study presents an impartial scheduling algorithm that allocates the same time quantum to all processes. The selection of time quantum and preempt...
This paper presents the development of biometric exam fraud detection system using artificial intelligence technique. This aim is to employ facial rec...
This study presents a Convolutional Neural Network (CNN) based extractor for the automated tracking and detection of pancreatic tumors using a combina...
Showing 109 to 120 of 143 papers
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