GitHub

ConvNTC: convolutional neural tensor completion for detecting “A–A–B” type biological triplets

Systematically investigating interactions among molecules of the same type across different contexts is crucial for unraveling disease mechanisms and developing potential therapeutic strategies. The ...
Frontiers

Pneumothorax detection and segmentation from chest X-ray radiographs using a patch-based fully convolutional encoder-decoder network

Pneumothorax, a life-threatening condition characterized by air accumulation in the pleural cavity, requires early and accurate detection for optimal patient outcomes. Chest X-ray radiographs are a ...
GitHub

Error Correcting Codes - Binary Convolutional Code

Binary Convolutional Codes (BCC) are a type of error-correcting code used in digital communication systems to mitigate the effects of noise and interference during transmission. This repository ...
IEEE

Urban Change Detection based Convolutional Auto Encoder - Content Loss using High-Resolution Images

Abstract: The Change Detection (CD) in high-resolution images is significant for understanding the surface of land. There have developed numerous Deep Learning (DL) approaches to CD, many of these ...
Scientific Research Publishing

A Combination Method of Stacked Convolutional Auto-Encoder and Selective Kernel Attention Mechanism for Image Classification ()

1 College of Information Engineering, Xinchuang Software Industry Base, Yancheng Teachers University, Yancheng, China. 2 Yancheng Agricultural College, Yancheng, China. Convolutional auto-encoders ...
IEEE

Performance analysis of convolutional code over different code rates and constraint length in wireless communication

Abstract: The Forward Error Correction (FEC) is appropriate technique used for controlling error in modern data transmission over noisy communication channels ...
Visual Studio Magazine

Convolutional Neural Networks for MNIST Data Using PyTorch

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...