Results 61 to 70 of about 1,528,226 (285)

Graph Neural Network Pooling for BCH Channel Decoding in Software Defined Satellites [PDF]

open access: yes
editorial reviewedThis paper delves into the transformative impact of Deep Learning (DL) techniques on decoding tasks at the physical layer onboard regenerative software-defined satellites, reshaping traditional error correction methodologies ...
VARADARAJULU, Swetha   +4 more
core   +1 more source

Iterative source and channel decoding relying on correlation modelling for wireless video transmission [PDF]

open access: yes, 2013
Since joint source-channel decoding (JSCD) is capable of exploiting the residual redundancy in the source signals for improving the attainable error resilience, it has attracted substantial attention.
Wang, Tao   +3 more
core   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

open access: yesAdvanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle   +5 more
wiley   +1 more source

Engineered Nanotopography to Modulate Growth and Signaling of Neuronal Networks

open access: yesAdvanced Functional Materials, EarlyView.
This study examines the interaction between neurons and nanoscale topographies on engineered substrates. Neurons cultured on nanowires, nanopillars and nanoneedles exhibit enhanced neurite outgrowth, form more organized neuronal circuits, and display improved synaptic connectivity, compared to flat substrates.
Hao Nguyen Tran   +8 more
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

open access: yesAdvanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong   +12 more
wiley   +1 more source

Understanding the role of eye movement pattern and consistency during face recognition through EEG decoding

open access: yesnpj Science of Learning
Eye movement patterns and consistency during face recognition are both associated with recognition performance. We examined whether they reflect different mechanisms through EEG decoding.
Guoyang Liu   +4 more
doaj   +1 more source

A Neural Network Lattice Decoding Algorithm [PDF]

open access: yes2018 IEEE Information Theory Workshop (ITW), 2018
To appear in ITW ...
Mohammad-Reza Sadeghi 0001   +3 more
openaire   +4 more sources

Erasure codes with a banded structure for hybrid iterative-ML decoding [PDF]

open access: yes, 2009
This paper presents new FEC codes for the erasure channel, LDPC-Band, that have been designed so as to optimize a hybrid iterative-Maximum Likelihood (ML) decoding.
Soro, Alexandre   +7 more
core   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

open access: yesAdvanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam   +6 more
wiley   +1 more source

On the Interpretability of Neural Network Decoders

open access: yesAdvanced Quantum Technologies
Abstract Neural‐network (NN) based decoders are becoming increasingly popular in the field of quantum error correction (QEC), including for decoding of state‐of‐the‐art quantum computation experiments. In this work, established interpretability methods are used from the field of machine learning, to introduce a toolbox to achieve an ...
Bödeker, Lukas   +2 more
openaire   +4 more sources

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