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Volume 2 Issue IX, Sep 2023

ENHANCING CYBER-SECURITY FOR 5G NETWORK: A FOCUS ON MACHINE LEARNING BASED THREAT DETECTION

*Nweke Okwuchukwu A., Ugwu Edith A., Asogwa Tochukwu C., Kwubeghari A

This study explores the evolution of wireless technology from 1G to 5G, highlighting the progress and benefits of 5G networks, including faster data speeds, low latency, and support for a massive n...

A MODEL TO DETECT OIL THEFT IN NIGERIAN PIPELINES USING ARTIFICIAL INTELLIGENCE

*Chiedu Raphael S., Ugwu Edith A., Asogwa Tochukwu C., Oliokwe Bibian N.

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 artificial intelligence (AI), mainly through the...

CONVOLUTIONAL NEURAL NETWORK MODEL FOR HEART DISEASE CLASSIFICATION

*Nwobodo Nnenna H., **Ezigbo Lucy I.

Heart disease has dominated the cause of mortality rate in the world. In western African, high kolanut intake has been reported to be one of the main factors which have provoked the rising cases of...

INTELLIGENT HOME DEMAND SERVICES APPLICATION SYSTEM

*Nwobodo Harmony N., **Chibueze Kingsley I.

In contemporary society, the modern home has undergone a significant transformation, largely driven by the proliferation of advanced technologies and the ever-increasing demands of home services fo...

NEURAL NETWORK-BASED APPROACH FOR CLASSIFYING BRAIN TUMORS USING MAGNETIC RESONANCE IMAGING

*Nwobodo Harmony N., **Kwubeghari A.

This research presents a neural network-based approach for classifying brain tumors using magnetic resonance imaging (MRI). The primary objective is to develop a model capable of accurately detecti...

INVESTIGATING THE IMPACT OF ADAPTIVE DECISION-FEEDBACK EQUALIZER IN WIRELESS COMMUNICATION NETWORKS

*Nwobodo Harmony N., **Ezeji Georginia N.

This study investigates the performance and operation of the adaptive Decision-Feedback Equalizer (DFE) in wireless communication networks. The DFE is a nonlinear equalizer that combines a forward ...

DETECTION OF ELECTRICITY METER BYPASS IN NIGERIA USING MACHINE LEARNING

*Onyia J.O., Ugwu Edith A., Asogwa Tochukwu C., Anameje Chinwe A.

This study focused on the detection of electricity meter bypass in Nigeria using machine learning algorithms. The aim was to develop an intelligent model with the capacity to detect potential custo...