Computed tomography, are often formerly referred to as computerized axial tomography (CAT) scan, which is an X-ray procedure that combines many X-ray ...
Due to the growing need for wireless broadband, there is a continued increased request for dynamic spectrum access of TV White Spaces (TVWS) by most c...
This study presents a Deep Neural Network (DNN) model for short-term load forecasting for mitigation of losses in power system. The model developed in...
This paper on improving the precision of electro-pneumatic actuator based robotic bottle capper using Adaptive Model Predictive Control is focused on ...
This study focuses on optimizing the power factor of distribution transformers through the implementation of a shunt capacitor bank. By sizing and dep...
This paper on the improvement of fuel consumption using an intelligent neuro-based MPC of aheavy-duty vehicle is focused on analyzing the performance ...
Stroke, a leading cause of disability and mortality worldwide, presents a critical challenge for healthcare systems. While demographic factors have tr...
This paper reviews the impacts of machine learning and artificial intelligence technology to improve the educational sector and teaching/learning effi...
The paper proposes a hybrid of adaptive interference canceller and fuzzy hibernation controller for improving the performance of a hub base transceive...
Since driver fatigue is a major contributor to traffic accidents globally, identifying it early on is essential to improving road safety. Considering ...
Wireless Sensor Networks (WSNs) are crucial for various applications, and ranking sensor nodes within these networks is a fundamental challenge. The S...
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