Our research introduces ADSiamNet, a 1D Convolutional Neural Network-based Siamese network model for anomaly detection and rectification. ADSiamNet effectively identifies localized patterns in ...

This project uses a 1D Convolutional Neural Network (CNN) to classify arrhythmias in ECG data. The dataset used is the MIT-BIH Arrhythmia Database, which contains ECG recordings of various arrhythmia ...

I then use this dataset to perform a three-label classification analysis via deep learning (DL) techniques (B) by building a variant of a hybrid model architecture of sequences of 1D convolutional ...

What is a “Convolutional Neural Network” (CNN)? A Convolutional Neural Network (CNN) represents a sophisticated advancement in artificial intelligence technology, specifically designed to ...

Researchers have developed a new artificial intelligence (AI) technique that brings machine vision closer to how the human brain processes images. Called Lp-Convolution, this method improves the ...

Yann LeCun, Meta's chief AI scientist and one of the pioneers of artificial intelligence, believes LLMs will be largely ...

Google and the Computer History Museum release AlexNet’s original 2012 source code on GitHub, offering a rare look at a pivotal moment in AI history.