Convolutional Neural Networks (CNNs) -- the most widely used AI model for image recognition -- process ... shapes -- stretching horizontally or vertically based on the task, much like how the ...

The Lp-Convolution technique enhances AI image recognition, mimicking brain processes to improve accuracy and efficiency while reducing computational demands.

Abstract: The study aimed to develop an automatic identification system based on convolutional neural networks (CNN) to detect wanted individuals ... working with a private data set composed of 50,000 ...

This research introduces a federated hybrid TSC method that combines image-based time series representation techniques with Convolutional Neural Networks (CNNs) in a decentralized framework.

The course starts with the basics of backpropagation, then proceeds to multi-layer perceptrons (MLPs), convolutional neural networks (CNNs), and finally builds up to modern deep neural networks like ...

Our novel approach is dedicated to refining image classification using customized CNN ... This repository demonstrates a simple and effective implementation of a Convolutional Neural Network (CNN) ...

The application of deep learning algorithms in protein structure prediction ... states and hybrid approaches integrating physical modeling. A convolutional neural network (CNN) is a type of neural ...