This paper presents a predictive algorithm for the early detection of neuropathic diabetes using machine learning. The study aimed at developing a mac...
This paper presents the application of machine learning technique and recursive polynomial estimator for improving the reliability of critical safety ...
The growing prevalence of pipeline failures has given rise to significant economic, social, and environmental consequences, necessitating urgent inter...
Over the years the maritime industries have faced many challenges of insecurity, theft, piracy and maritime terrorism among other problems which have ...
This paper presents the modeling of an intelligent virtual power plant for optimal energy network management and control using machine learning techni...
This research presents improving the power system stability of a wind turbine system using Doubly Fed Induction Generator (DFIG). This was embarked on...
Voltage stability issues are a major concern in Nigeria due to many system failures and surges in electrical installations around Enugu. Owing to the ...
This paper presents the modeling of vehicle accident prevention and control system using machine learning technique. The study revealed from literatur...
This paper presents the development of a cardiovascular heart disease classification model using neural network based data mining technique. The aim w...
The paper presents a review of machine learning approaches for the early detection of Stress and Hypertension (SH) in pregnant women. It discusses the...
This research addresses the limitations of the current wireless network due to fixed spectrum assignment, leading to inefficient spectrum usage and ne...
Showing 13 to 24 of 174 papers
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