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, ...
IEEE

Synthetic Time-Series Data Generation for Smart Grids Using 3D Autoencoder GAN

Abstract: Given the growing significance of data-driven approaches in analysis and decision-making in smart grid, the availability of diverse and representative datasets is paramount. However, ...
IEEE

Reviving Legacy Seismic Data via Machine Learning Technique—Part 2: Estimating 3-D Seismic Volumes From 2-D Seismic Lines With VQ-VAE

Abstract: We propose a machine learning-based method that estimates a 3-D seismic volume from irregularly placed 2-D seismic lines, addressing the challenges regarding the local disturbances contained ...
GitHub

CONVOLUTIONAL-AUTOENCODER-FOR-IMAGE-DENOISING

This code implements a Denoising Autoencoder using PyTorch to clean noisy images from the MNIST dataset. It uses a convolutional neural network architecture, where the encoder compresses the input ...