[ViciousSquid] is updating this 90s idea for the 20s with a digital pet squid that uses a neural network to shape its behavior. The neural network that controls the squid’s behavior takes a ...

Get Instant Summarized Text (Gist) A self-attention neural network model enables rapid and accurate prediction of radiation shielding designs for space reactors, achieving less than 3% deviation ...

In this study, we propose a Virtual network-based Diffusion Convolutional Recurrent Neural Network (V-DCRNN) for estimating unobserved speed data in urban traffic networks using a virtual network. The ...

These housemates have turned every episode into a goldmine of hilarious and meme-worthy moments. From hilarious edits to viral memes across various social media platforms, PBB Celebrity Collab Edition ...

In computer vision, convolutional networks (CNNs) often adopts pooling to enlarge receptive field which has the advantage of low computational complexity. However, pooling can cause information loss ...

This repository demonstrates image classification on the CIFAR-10 dataset using a Convolutional Neural Network (CNN) in PyTorch. It walks through important deep learning terms, guides you through ...

The proposed model consists of two main steps. First, to improve the performance of a 2-D convolutional neural network (2DCNN), low-frequency features with a maximum autocorrelation factor of HSI are ...

Despite the widespread success of neural networks, their susceptibility to adversarial examples remains a significant challenge. Adversarial training (AT) has emerged as an effective approach to ...

Based on the deep learning method, the convolutional neural network model is used to extract the newly produced 3D feature to achieve load identification in this paper. The results indicate the new 3D ...