Results 1 to 10 of about 359 (156)

ECC‐BERT: Classification of error correcting codes using the improved bidirectional encoder representation from transformers [PDF]

open access: yesIET Communications, 2022
Abstract The recent concept of contextual information in error correcting code (ECC) can significantly improve the capacity of the blind recognition of codes with deep learning (DL) approaches. However, the fundamental challenges of existing DL‐based methods are inflexible structure and limited kernel size which bring great ...
Sida Li 0001   +3 more
openaire   +2 more sources

RATT-ECC [PDF]

open access: yesACM Transactions on Architecture and Code Optimization, 2016
This article proposes a rate-adaptive, two-tiered error-correction scheme (RATT-ECC) that provides strong reliability (10 10 x reduction in raw FIT rate) for an HBM-like 3D DRAM system.
Hsing Min Chen   +3 more
openaire   +1 more source

Laser Induced Single Event Upset (SEU) Testing of Commercial Memory Devices with Embedded Error Correction Codes (ECC)

open access: yesJournal of Physics: Conference Series, 2022
Abstract Results of laser-induced single event upset testing of devices with embedded error correction codes are described. Specifically, the memory system, consisting of a Micron MT41K256M16TW-107 IT: P 32 Meg×16×8 banks Dual Dynamic Random Access Memories (DDRs) was tested on a self-made test board. Two samples of each memory system or
Yang Han   +4 more
openaire   +1 more source

PEPITEM Regulates the Synovial Microenvironment During Immune‐Mediated Inflammatory Arthritis to Limit Disease

open access: yesArthritis &Rheumatology, EarlyView.
Objective Here we investigate the status of the adiponectin–PEPITEM pathway in early, treatment naive rheumatoid arthritis (RA) and psoriatic arthritis (PsA) and the therapeutic efficacy of PEPITEM administration in preclinical models. Methods Peripheral blood was isolated from patients with clinical suspect arthralgia and suspected inflammatory ...
Mussarat Wahid   +34 more
wiley   +1 more source

COBASE: A new copula‐based shuffling method for ensemble weather forecast postprocessing

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We propose COBASE, a novel copula‐based postprocessing methododology that combines the strengths of multivariate parametric correction with non‐parametric rank‐based approaches. We consider two case studies for multi‐site temperature in Austria and multi‐site temperature and dew‐point temperature in the Netherlands.
Maurits Flos   +4 more
wiley   +1 more source

Bivariate postprocessing of wind vectors

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner   +3 more
wiley   +1 more source

Investigating the Environmental Impact of Additive Construction: A Systematic Analysis of the Life Cycle Assessment Studies

open access: yesSustainable Development, EarlyView.
ABSTRACT Additive Manufacturing (AM) has been identified as a potential catalyst for a paradigm shift within the construction industry, due to its capacity to enhance sustainability, reduce waste, and augment design flexibility. This study presents a systematic literature review (SLR) that explores the application of Life Cycle Assessment (LCA) in ...
Antonio Mastropasqua   +3 more
wiley   +1 more source

Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch   +4 more
wiley   +1 more source

Deep learning assisted high‐resolution microscopy image processing for phase segmentation in functional composite materials

open access: yesJournal of Microscopy, EarlyView.
Abstract In the domain of battery research, the processing of high‐resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior understanding of the components involved. The utilisation of deep learning methodologies for image analysis has attracted considerable interest in recent years, with ...
Ganesh Raghavendran   +7 more
wiley   +1 more source

Simplex‐based model for nanoparticle grain identification in four‐dimensional scanning transmission electron microscopy data

open access: yesJournal of Microscopy, EarlyView.
Abstract Grain identification in polycrystalline nanoparticles, for example, determining which crystal phases are present at each spatial location, is fundamental to materials characterisation. This is particularly challenging when grains overlap extensively, as commonly occurs in four‐dimensional scanning transmission electron microscopy (4D‐STEM ...
Wei Liu   +5 more
wiley   +1 more source

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