Abstract: The immense potential of optical networks provides a highly favorable option for addressing rapidly increasing bandwidth needs. Elastic Optical Networks (EONs) exhibit considerable potential ...
Abstract: Air pollution is a serious threat to human health and can occasionally result in life-threatening illnesses or even fatalities. Mitigating the effects of air pollution and issuing early ...
Abstract: In this paper, a novel classifier based on Robert’s similarity measure is introduced for emotion detection using electroencephalogram (EEG) signals. Traditional machine learning classifiers ...
Abstract: The high insertion of renewable generation in power systems influences the transmission expansion planning problem. In this paper, the uncertainty of renewable generation will be represented ...
Abstract: With the increase in electric vehicle ownership, the disorderly charging behavior carried out by a large number of electric vehicles connected to the grid creates a huge burden on the grid, ...
Abstract: The rapid global spread of COVID-19 has underscored the urgency of developing efficient diagnostic tools. Although RT-PCR is the gold standard for diagnosis, its time and resource-intensive ...
Abstract: PID control, which stands for Proportional-Integral-Derivative control, is a widely used control technique in various fields, including lighting control systems, manufacturing industry, ...
Abstract: Accurate wind speed forecasting is essential for weather prediction and wind energy planning. This paper employs fast correlation filtering and frequency domain coherence to select highly ...
Abstract: this study uses PDPWM, PODPWM, APODPWM, and SHEPWM techniques to reduce switching losses and eliminate low order harmonics in a 9-level, 13-level, 17-level, and 71-level multilevel inverter.
Abstract: As one of the primary causes of cancer-related death globally, lung cancer demands the development of sophisticated diagnostic and prognostic instruments in order to enhance patient outcomes ...
Abstract: Aiming at the issues of the current fluctuation and dependence of the control performance on model parameters accuracy in model predictive current control (MPCC) for a permanent magnet ...
Abstract: In recent years, the application of convolutional neural networks (CNN) has significantly advanced image clas-sification tasks, particularly in the medical field. In the present study, we ...