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...
Sepsis is a life-threatening disorder that may easily escalate to the deterioration of organs and death unless early detected and addressed. Early det...
This study develops a mathematical model using a system of differential equations to describe the dynamics of reinforcement and punishment on behaviou...
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 artificial intelligence-based short-term load forecasting system for demand site management of the Trans-Eku...
This paper aims to develop a model for reducing oil pipeline corrosion in the oil and gas industries using ant colony optimization techniques. The pri...
Pipeline gas leakage posessafety and environmental risks in the oil and gas industry which necessitates the adoption of efficient detection methods. T...
This paper presents the reduction and control of congestion in multi-tier 4G-LTE-A network using hybrid artificial intelligence technique. The study...
This paper presents the improvement ofenergy efficiency on a mobile ad-hoc network(MANET) using an energy optimization algorithm (EOA). The study addr...
This paper presents improving the quality of power supply in a distribution network using a genetic-based SVC. The research methodologies used in this...
This study presents the development and analysis of a new block hybrid method for the direct solution of second-order initial value problems (IVPs) of...
In the world of communication networks, which provide services to a variety of highly demanding applications, effective resource allocation is essenti...
Showing 13 to 24 of 182 papers
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