This study presents a finite element-based approach to the mathematical modeling and dynamic analysis of a flexible three-degree-of-freedom (3DoF) rob...
This paper presents a predictive algorithm for the early detection of neuropathic diabetes using machine learning. The study aimed at developing a mac...
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 research is focused on enhancing the performance of data switched networks using the knockout principle and parallel fabrics. The high demand of ...
This paper presents the reduction of harmonic distortion in power transmission system using passive Fourier filtering technique The aim was to minimiz...
Wireless Sensor Networks (WSNs) are crucial for various applications, and ranking sensor nodes within these networks is a fundamental challenge. The S...
This paper presents improving the quality of power supply in 0.75MVA, Maryland 33/11kv distribution network using passive harmonic filtering scheme. T...
This paper presents the development of an intelligent system for the detection of coronavirus using artificial neural network. This was done after ser...
This study focuses on optimizing the power factor of distribution transformers through the implementation of a shunt capacitor bank. By sizing and dep...
In the field of accident control due to driver's drowsiness, the conventional approach involved monitoring and analyzing the driver's physiological si...
Gliomas are among the most aggressive brain tumors experienced and the accurate classification of such disease is critical for effective diagnosis and...
Spectrum management has become a burning problem in the Fifth-Generation (5G) wireless networks as a result of growing traffic load, scarcity of spect...
Showing 133 to 144 of 183 papers
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