This paper presents the reduction of harmonic distortion in power transmission system using passive Fourier filtering technique The aim was to minimiz...
In the field of accident control due to driver's drowsiness, the conventional approach involved monitoring and analyzing the driver's physiological si...
This study addresses the critical challenge of detecting and mitigating stochastic deceptive attacks in cyber environments through a novel hybrid appr...
Autoclave is a machine used to carry out industrial and scientific processes requiring elevated temperature and pressure in relation to ambient pres...
This paper focuses on improving the performance of the SCADA network in a 330/132kV transmission station by employing a phasor-based intelligent monit...
This paper presents the minimization of power losses in 33/11KV distribution network using genetic algorithm and shunt capacitor compensation. A techn...
This paper presents the modeling of intelligent handover decision algorithm for 4G mobile network using genetic algorithm. The aim is to ensure that t...
This paper presents the development of a cardiovascular heart disease classification model using neural network based data mining technique. The aim w...
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...
This paper presents the modeling of a real-time flood detection and control system using machine learning techniques. The experimental and simulation ...
Quality education is a fundamental right, but individuals with impairments, such as vision loss, often face significant challenges in accessing equita...
This paper presents the modeling of vehicle accident prevention and control system using machine learning technique. The study revealed from literatur...
Showing 49 to 60 of 149 papers
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