This research presents a neural network-based approach for classifying brain tumors using magnetic resonance imaging (MRI). The primary objective is t...
The background of the study centres on the challenges faced in contract litigation due to the complexity and volume of legal documents involved. Tradi...
Gliomas are among the most aggressive brain tumors experienced and the accurate classification of such disease is critical for effective diagnosis and...
The changing nature of the frequency and complexity of cyber threats necessitates the need to implement network security based on intelligent and adap...
This study explores the evolution of wireless technology from 1G to 5G, highlighting the progress and benefits of 5G networks, including faster data s...
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...
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