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...
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...
This study aimed to enhance the security of Nigeria's 330kV grid network through the implementation of intelligent margin and sensitivity-controlled F...
Multipath propagation remains a major challenge in wireless communication systems, causing signal degradation, fading, and reduced transmission reliab...
Gliomas are among the most aggressive brain tumors experienced and the accurate classification of such disease is critical for effective diagnosis and...
Over the years the critical industrial infrastructure has suffered many problems of which cyber-attack is among the major concerns. This attack exploi...
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