GitHub

Hosseinhb69/Flower-Classification-using-Convolution-Neural-Network-model-with-and-without-transfer-learning

This project aims to classify images of 17 types of flowers using deep learning techniques. Two approaches are explored: Custom CNN — A convolutional neural network trained from scratch. Transfer ...
IEEE

A novel transfer algorithm based on time convolution and EEGNet for motor imagery classification

Abstract: EEG signals have great individual variability, and there are obvious individual differences in the frequency domain and amplitude of subject’s EEG signal. These characteristics have led to ...
IEEE

A Fast SAR Image Generation Method Based on System Transfer Function Convolution

Abstract: The scarcity of synthetic aperture radar (SAR) datasets is a fundamental issue in the field of SAR image applications. Large-scale, diverse and high-quality data is the key to achieving good ...
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 ...