IEEE

Enhancing SEEG-Based Speech Decoding via Convolutional Encoder-Decoder and Scale-Recursive Reconstructor

Abstract: A brain-computer interface (BCI) that decodes speech directly from neural activity provides a rapid and natural means of communication for individuals with speech impairments or aphasia.
IEEE

Convolutional Encoder-Decoder Based Salient Object Detection

Abstract: Saliency detection has achieved outstanding performance by utilizing deep encoder-decoder networks. Many of the existing saliency approaches, however, are unable to effectively process ...
GitHub

davidecoccoluto/lte_4g_coders_vhdl

This repository contains synthesizable VHDL implementations of Turbo and Convolutional Encoders and Decoders used in 4G LTE systems. It aims to provide a free, open-source, and high-performance ...
EurekAlert!

Direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional neural network

A new publication from Opto-Electronic Advances, 10.29026/oea.2023.220148 discusses the direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional ...
GitHub

Automatic Image Captioning using PyTorch on COCO Dataset

This project focuses on generating captions for images using a neural network architecture that combines Convolutional Neural Networks (CNNs) as the Encoder and Recurrent Neural Network(RNN) networks ...
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 ...