Scientific Research Publishing

Research on Structural Damage Identification Method Based on Convolutional Neural Network ()

1 College of Finance and Commerce, Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 ...
IEEE

Nonstationary Discrete Convolution Kernel for Multimodal Process Monitoring

Abstract: Data-driven process monitoring has benefited from the development and application of kernel transformations, especially when various types of nonlinearity exist in the data. However, when ...
eeworldonline

How to use convolution to implement filters: part 4

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 ...
Frontiers

High-efficiency sparse convolution operator for event-based cameras

Event-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in ...
GitHub

error in inference process (no valid convolution algorithms available in CuDNN)

error in inference process (no valid convolution algorithms available in CuDNN) #25 ...
Frontiers

Rapid detection of Yunnan Xiaomila based on lightweight YOLOv7 algorithm

1 Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, Yunnan, China 2 Engineering Training Center, Kunming University of Science and Technology, Kunming, ...
IEEE

An Asynchronous Convolution Process Engine forVGG-16 Neural Network

Abstract: VGG-16 neural network is one of the most powerful artificial intelligence algorithms widely used in computer vision. There are many accelerators proposed for VGG-16 to obtain high energy ...