There was an error while loading. Please reload this page. The official Faster R-CNN code (written in MATLAB) is available here. If your goal is to reproduce the ...

This MATLAB implementation simulates and analyzes continuous-time signals and systems by generating signals, applying convolution, testing linearity and time-invariance, and visualizing results. It ...

Abstract: This study investigates using Neural Networks with convolution(CNNs) MATLAB to detect microplastic contamination in human tissues. As microplastics threaten ...

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.

A website called 'Animated AI' has been published that uses animation to explain 'Convolutional Neural Networks (CNN),' a technology widely used in the field of machine learning. The website visually ...

Introduction: Diabetic macular edema (DME) is a major cause of vision impairment in the patients with diabetes. Optical Coherence Tomography (OCT) is an important ophthalmic imaging method, which can ...

The accurate classification of power quality disturbance (PQD) signals is of great significance for the establishment of a real-time monitoring system of modern power grids, ensuring the safe and ...