This study addresses the critical challenge of detecting and mitigating stochastic deceptive attacks in cyber environments through a novel hybrid appr...
Autoclave is a machine used to carry out industrial and scientific processes requiring elevated temperature and pressure in relation to ambient pres...
This study presents the development and analysis of a new block hybrid method for the direct solution of second-order initial value problems (IVPs) of...
This study delves into the critical issue of pipeline oil theft in Nigeria, a nation heavily reliant on its oil industry. By harnessing the power of a...
Technological Incubation Centers (TICs) are vital institutions for fostering entrepreneurship, innovation, and economic development, particularly in e...
This study presents a Convolutional Neural Network (CNN) based extractor for the automated tracking and detection of pancreatic tumors using a combina...
This paper describes the development of a convolutional neural network (CNN) based vehicle accident prevention and control system which is developed t...
This paper aims to develop a model for reducing oil pipeline corrosion in the oil and gas industries using ant colony optimization techniques. The pri...
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 improving power output generation from biogas using simplex optimization technique. This aim is to address the issues of poor powe...
This paper presents the development of a cardiovascular heart disease classification model using neural network based data mining technique. The aim w...
This paper addresses the crucial issue of data protection in cloud networks through the utilization of password-based identification and authenticatio...
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