College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China ...

You can use these live scripts as demonstrations in lectures, class activities, or interactive assignments outside class. This module covers the definition and computation of 1D and 2D convolution, as ...

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...

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Abstract: The convolutional coding technique is used to encode and decode a continuous stream of bits. The basic concept behind the convolution is the overlapping of two signals to form the other one.

Mild cognitive impairment (MCI) is a nervous system disease, and its clinical status can be used as an early warning of Alzheimer's disease (AD). Subtle and slow changes in brain structure between ...

Abstract: Inference engines (IEs) based on convolutional neural networks (CNN) are memory intensive and computationally complex. The IEs require optimum data format for representing kernel weights and ...