This paper presents the modeling of an intelligent virtual power plant for optimal energy network management and control using machine learning techni...
Pipeline gas leakage posessafety and environmental risks in the oil and gas industry which necessitates the adoption of efficient detection methods. T...
The weed invasion is one of the most severe challenges to sustainable rice production, which diminishes crop production and over depends on herbicides...
This study presents the design and implementation of a real-time traffic sign detection system using a transfer learning approach based on the YOLOv8s...
This paper presents the development of an intelligent system for the detection of coronavirus using artificial neural network. This was done after ser...
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 work is aimed at improving the bottle capping system with an adaptive model predictive controller. To achieve this, first, a robust pneumatic fri...
This study aimed to enhance the security of Nigeria's 330kV grid network through the implementation of intelligent margin and sensitivity-controlled F...
Wireless Sensor Networks (WSNs) are crucial for various applications, and ranking sensor nodes within these networks is a fundamental challenge. The S...
Zero-day attacks pose one of the most formidable challenges in modern cybersecurity due to their unpredictability and the absence of prior signatures....
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 an optimal control simulation of a diesel injection system using a Neuro model predictive-based Electronic Control Unit (ECU). The...
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