The telecommunications industry in Nigeria has been characterised by a boom in mobile subscriptions and internet penetration within the country in the...
Accessing equitable learning settings can be extremely difficult for people with disabilities, such as vision loss, despite the fact that receiving a ...
Zero-day attacks pose one of the most formidable challenges in modern cybersecurity due to their unpredictability and the absence of prior signatures....
The increasing sophistication of cyber threats, particularly against critical infrastructure like healthcare Internet of Things (IoT) networks, demand...
The changing nature of the frequency and complexity of cyber threats necessitates the need to implement network security based on intelligent and adap...
Multipath propagation remains a major challenge in wireless communication systems, causing signal degradation, fading, and reduced transmission reliab...
Spectrum management has become a burning problem in the Fifth-Generation (5G) wireless networks as a result of growing traffic load, scarcity of spect...
The rapid evolution of cyber threats, particularly botnet attacks, poses significant risks to network security, challenging traditional defence mechan...
This study developed an effective botnet detection and management system using machine learning techniques. An ensemble model combining Artificial Neu...
Computed tomography, are often formerly referred to as computerized axial tomography (CAT) scan, which is an X-ray procedure that combines many X-ray ...
Gliomas are among the most aggressive brain tumors experienced and the accurate classification of such disease is critical for effective diagnosis and...
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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