eLife

High-Fidelity Neural Speech Reconstruction through an Efficient Acoustic-Linguistic Dual-Pathway Framework

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
GitHub

convolutional-encoder-decoder

Add a description, image, and links to the convolutional-encoder-decoder topic page so that developers can more easily learn about it.
IEEE

NL-CoWNet: A Deep Convolutional Encoder–Decoder Architecture for OCT Speckle Elimination Using Nonlocal and Subband Modulated DT-CWT Blocks

Abstract: Optical coherence tomography (OCT), a noninvasive diagnostic technology for identifying and treating various ocular diseases, encounters a loss of image quality due to the introduction of ...
Scientific Research Publishing

Xie, P., Li, T., Liu, J., Du, S., Yang, X. and Zhang, J. (2020) Urban Flow Prediction from Spatiotemporal Data Using Machine Learning: A Survey. Information Fusion, 59, 1-12.

ABSTRACT: Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction ...
GitHub

High Resolution Canopy Height Maps

PyTorch implementation and pretrained models for High resolution Canopy Height Prediction inference. For details, see the paper: Very high resolution canopy height maps from RGB imagery using ...
Frontiers

GLN-LRF: global learning network based on large receptive fields for hyperspectral image classification

Deep learning has been widely applied to high-dimensional hyperspectral image classification and has achieved significant improvements in classification accuracy. However, most current hyperspectral ...
Frontiers

AM-MTEEG: multi-task EEG classification based on impulsive associative memory

Electroencephalogram-based brain-computer interfaces (BCIs) hold promise for healthcare applications but are hindered by cross-subject variability and limited data. This article proposes a multi-task ...
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 ...
redsharknews.com

Astonishing new Nvidia GeForce RTX 50 Series GPUs double performance in video, 3D, and genAI

The new Nvidia GeForce RTX 50 Series GPUs feature up to three encoders for 4:2:2 video and FP4 for ramped up AI performance, plus new AI tools for livestreaming, DLSS 4 to boost 3D rendering, NVIDIA ...
IEEE

Supervised Convolutional Encoder-Decoder With Gated Linear Units for Detecting Fetal R-Peaks

Abstract: Noninvasive fetal electrocardiography (ECG) is prevalently used for monitoring fetal heartbeats during pregnancy due to its affordability, ease of use, and constant monitoring capability. A ...