This study focused on the detection of electricity meter bypass in Nigeria using machine learning algorithms. The aim was to develop an intelligent mo...
The accomplishment of high demand of data via the internet transmission medium when fabrics Data are of higher demand during peak hours, has led to pa...
This work focused on optimizing the spectral efficiency of the Wi-Fi-Ad-hoc network connection used in the study. A cooperative relayed antenna diver...
The paper presents a review of machine learning approaches for the early detection of Stress and Hypertension (SH) in pregnant women. It discusses the...
Voltage stability issues are a major concern in Nigeria due to many system failures and surges in electrical installations around Enugu. Owing to the ...
Autoclave is a machine used to carry out industrial and scientific processes requiring elevated temperature and pressure in relation to ambient pres...
This paper aims to develop a model for reducing oil pipeline corrosion in the oil and gas industries using ant colony optimization techniques. The pri...
This paper presents signature based detection mechanism for cloud based log management using machine learning technique. The study aimed at detecting ...
This study presents the improvement of Nigeria’s 34-bus, 330/132?kV transmission network performance through Flexible AC Transmission System (FACTS)...
The Revamped Mean Round Robin (RMRR) CPU scheduling algorithm is an impartial scheduling algorithm that gives same time quantum to all processes. Howe...
The background of the study centres on the challenges faced in contract litigation due to the complexity and volume of legal documents involved. Tradi...
This paper presents addressing constraints of mobility management in 4G network through hybrid optimization technique. Literatures were reviewed and r...
Showing 73 to 84 of 143 papers
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