Abstract: Regular headlight systems usually fail to offer clear visibility on bendy roads and tend to misalign when the car is overloaded, which creates blind spots and is potentially hazardous.
Eisha Singh defended Bharti Singh after backlash over her comment on Ayesha Khan, saying Bharti has a pure heart and didn’t ...
The watch, known for its extreme engineering and exclusivity, features a white Quartz TPT case, a skeletonised dial and a titanium baseplate.
Abstract: A fault diagnosis method based on improved Pearson correlation algorithm and Convolutional Neural Network (CNN) is proposed to address the issue of high diagnostic speed and high proportion ...
Abstract: This paper proposes a system architecture based on deep convolutional neural network (CNN) for road detection and segmentation from aerial images. These images are acquired by an unmanned ...
Abstract: Floating point Convolutional Neural Networks(CNNs) are computationally expensive and deeper networks can be impractical to deploy on FPGAs - consuming a large number of resources and power, ...
Abstract: Existing ultra high voltage direct current (UHVDC) fault detection methods have low sensitivity and are difficult to identify high resistance ground faults. A fault diagnosis method for ...
These are the example files used in the webinar "Aprendizaje Profundo para Visión Artificial con MATLAB" - Spanish ("Deep Learning for Computer Vision with MATLAB"). Deep Learning is an area of ...
The prospect of Paramount’s buying Warner Bros. Discovery had led CNN journalists to wonder if the channel may be combined with CBS News. Instead, CNN will remain in a separate corporate entity. By ...
Abstract: With non-linear loads connected to the power grid, the harmonics they generate can cause distortion in the current and voltage waveforms, interfering with the accelerated aging of equipment.
Abstract: In recent years, neural network-based methods have shown promising results in hyperspectral image (HSI) denoising areas. Real HSIs exhibit the substantial variations in noise distribution ...
Abstract: The classification of Power Quality Disturbances (PQDs) has gained an interest in power electronics-enabled distribution networks. This paper aims to accurately classify eight frequently ...