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 harnessing the potential of smart turbines to enhance the effectiveness of micro grid power generators. The key emphasis lies in...
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 study introduces an improved method for traffic sign detection and recognition, specifically designed for complex urban environments and varying ...
Since driver fatigue is a major contributor to traffic accidents globally, identifying it early on is essential to improving road safety. Considering ...
Interference remains a critical challenge in next-generation wireless networks, affecting both quality of service (QoS) and spectral efficiency. This ...
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 ...
Showing 1 to 12 of 149 papers
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