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...
The rapid proliferation of the internet and the heterogeneity of user equipment have led to complex challenges in managing network traffic and ensurin...
The presence of complex and heterogeneous tumour characteristics is still a decisive problem in the diagnosis of brain tumours that makes it a signifi...
Breast cancer stands out as one of the most noticeable and impassive diseases worldwide, primarily affecting women. Detecting it at its initial stage ...
The Nigerian power sector is grappling with significant frequency instability in its 330kV transmission network, a challenge intensified by aging infr...
Accessing equitable learning settings can be extremely difficult for people with disabilities, such as vision loss, despite the fact that receiving a ...
This paper reviews the impacts of machine learning and artificial intelligence technology to improve the educational sector and teaching/learning effi...
The proliferation of 5G networks has revolutionized communication paradigms, introducing unprecedented speeds and connectivity. However, the dense dep...
This paper describes the development of a convolutional neural network (CNN) based vehicle accident prevention and control system which is developed t...
This research presents a neural network-based approach for classifying brain tumors using magnetic resonance imaging (MRI). The primary objective is t...
This study presents a Deep Neural Network (DNN) model for short-term load forecasting for mitigation of losses in power system. The model developed in...
This research is focused on enhancing the performance of data switched networks using the knockout principle and parallel fabrics. The high demand of ...
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