Understanding how machines interpret visual information starts with two fundamental concepts in image processing: convolution and correlation. These techniques are often mentioned in textbooks, but ...
In order to address the challenges of identifying, detecting, and tracking moving objects in video surveillance, this paper emphasizes image-based dynamic entity detection. It delves into the ...
The practise of applying different techniques to an image in order to enhance it or extract useful information from it is known as image processing. It is a form of signal processing in which a ...
Audio equalization is the process of adjusting the balance between frequency components within an audio signal. The purpose of equalization is to make an audio signal sound better, more clear, and ...
The Fourier Neural Operator (FNO) [1] is a neural operator with an integral kernel parameterized in Fourier space. This allows for an expressive and efficient architecture. Applications of the FNO ...
A key problem in the field of near infrared (NIR) spectrum study is to obtain the valuable information from the complex NIR signal. A maximum information extraction method based on Wavelet Transform ...
In order to analyse the sports psychology of athletes and to identify the psychology of athletes in their movements, a human action recognition (HAR) algorithm has been designed in this study. First, ...
What You See Is Not What You Get: On the Accuracy of Voxel-Based Dosimetry in Molecular Radiotherapy
Improvements in quantitative SPECT/CT have aroused growing interest in voxel-based dosimetry for radionuclide therapies, because it promises visualization of absorbed doses at a voxel level. In this ...
The tomato crop is an important staple in the market and it is one of the most common crops daily consumed. Plant or crop diseases cause reduction of quality and quantity of the production; ...
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