Abstract: Object detection (OD) in unmanned aerial vehicle (UAV) images faces many challenges, with diverse-scale objects and small objects being particularly prominent issues. To alleviate these ...
MathWorks, a leading developer of mathematical computing and simulation software, has revealed that a recent ransomware attack is behind an ongoing service outage. Headquartered in Natick, ...
State Key Laboratory of Power System Operation and Control, Department of Electrical Engineering, Tsinghua University, Beijing 100084, People’s Republic of China ...
A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on the ...
Convolution is used in a variety of signal-processing applications, including time-domain-waveform filtering. In a recent series on the inverse fast Fourier transform (FFT), we concluded with a ...
There is no denying that deep learning, especially with generative models AI, has deeply transformed how we use computers. It has also quickly become where a very large fraction of the world’s ...
Abstract: Cracks are among the most common, most likely, and earliest of all pavement distresses. Detecting and repairing cracks as early as possible can help extend the service life of pavements.
The Breast Cancer Detection System is an application developed to predict whether an input image represents a breast with cancer or not. It utilizes a deep learning model trained on a dataset of ...
An image descriptor, suitable for keyword spotting, that is computed as a function of Convolutional Neural Network intermediate layer responses. Implemented in MATLAB.
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