Computed tomography, are often formerly referred to as computerized axial tomography (CAT) scan, which is an X-ray procedure that combines many X-ray ...
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 study presents a Deep Convolutional Neural Network (Deep CNN) model for multimodal biometric recognition, integrating facial and gait features to...
Gliomas are among the most aggressive brain tumors experienced and the accurate classification of such disease is critical for effective diagnosis and...
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 addressing constraints of mobility management in 4G network through hybrid optimization technique. Literatures were reviewed and r...
This study presents the design and implementation of a real-time traffic sign detection system using a transfer learning approach based on the YOLOv8s...
In order to solve degradation-related difficulties, a thorough knowledge of lithium-ion battery (LIB) behaviour is important given the rapid expansion...
Despite the development of modern medicine being in progress, CVD is still the leading cause of death worldwide (responsible for 32% mortality). Altho...
Due to the growing need for wireless broadband, there is a continued increased request for dynamic spectrum access of TV White Spaces (TVWS) by most c...
Zero-day attacks pose one of the most formidable challenges in modern cybersecurity due to their unpredictability and the absence of prior signatures....
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