The adoption of Internet of Things (IoT)-based monitoring and control systems in the oil and gas industry offers the promise of revolutionizing pipeli...
This paper presents the modeling of a deep learning and fuzzy logic behavioral approach for the autonomous navigation of a robot in a Global Positioni...
Pipeline gas leakage posessafety and environmental risks in the oil and gas industry which necessitates the adoption of efficient detection methods. T...
Breast cancer stands out as one of the most noticeable and impassive diseases worldwide, primarily affecting women. Detecting it at its initial stage ...
The increasing complexity of cyber threats has made traditional network defence mechanisms inadequate; especially in smart environments handling high-...
Over the years, the increasing incidence of mortality among women due to breast cancer has posed a significant challenge, necessitating urgent solutio...
Over recent years, Researchers have displayed a keen interest in dynamic research domains, including the realm of Face Recognition Systems. This study...
In order to solve degradation-related difficulties, a thorough knowledge of lithium-ion battery (LIB) behaviour is important given the rapid expansion...
This paper presents the detection and isolation of black hole attack in wireless broadband ecosystem using artificial intelligence technique. Many lit...
This work is presented to demonstrate the principles and technical procedure for energy hybridization in optimal Unmanned Aerial Vehicle (UAV) operati...
Satellite Attitude Determination and Control Systems (ADCS) are critical for maintaining satellite stability and accurate orientation while in orbit. ...
This paper presents the application of machine learning technique and recursive polynomial estimator for improving the reliability of critical safety ...
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