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 ...
Frontiers

A 3D Fully Convolutional Neural Network With Top-Down Attention-Guided Refinement for Accurate and Robust Automatic Segmentation of Amygdala and Its Subnuclei

Recent advances in deep learning have improved the segmentation accuracy of subcortical brain structures, which would be useful in neuroimaging studies of many neurological disorders. However, most ...
Scientific Research Publishing

FPGA Design and Implementation of a Convolutional Encoder and a Viterbi Decoder Based on 802.11a for OFDM ()

Department of Communication Engineering, Hefei University of Technology, Hefei, China. In this paper, a modified FPGA scheme for the convolutional encoder and Viterbi decoder based on the IEEE 802.11a ...
GitHub

Zahratabatabaei/Convolutional-Auto-Encoder

Towards More Transparent and Accurate Cancer Diagnosis with an Unsupervised CAE Approach; WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval; Self-supervised learning of a tailored ...
IEEE

NSE-CATNet: Deep Neural Speech Enhancement Using Convolutional Attention Transformer Network

Abstract: Speech enhancement (SE) is a critical aspect of various speech-processing applications. Recent research in this field focuses on identifying effective ways to capture the long-term ...
Europe PMC

Attention-based convolutional neural network with multi-modal temporal information fusion for motor imagery EEG decoding.

Convolutional neural network (CNN) has been widely applied in motor imagery (MI)-based brain computer interface (BCI) to decode electroencephalography (EEG) signals. However, due to the limited ...
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 ...
GitHub

TerryonZhao/Channel-Coding-Viterbi-Algorithm

This repository contains the implementation of a communication system with various encoding, modulation, and decoding schemes. The project was developed for the SSY125 course and focuses on evaluating ...