One of primary concerns during pregnancy is the challenge of accurate monitoring of Fetal Heart Rate (FHR) and interpretation of cardiogram data to he...
This paper presents smart link control scheme for wireless networks based on Kalman filter-sliding window controller. The scheme aims at improving the...
Gliomas are among the most aggressive brain tumors experienced and the accurate classification of such disease is critical for effective diagnosis and...
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 paper presents the development of an intelligent system for the detection of coronavirus using artificial neural network. This was done after ser...
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 recent years, Researchers have displayed a keen interest in dynamic research domains, including the realm of Face Recognition Systems. This study...
This research presents the kinematic modeling of a four mecanum wheel robot for environment mapping and navigation. The study developed the kinematic ...
This research presents a neural network-based approach for classifying brain tumors using magnetic resonance imaging (MRI). The primary objective is t...
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