Generalisable 3D printing error detection and correction via multi-head neural networks [PDF]
Nat Commun, 2022 Douglas A. J. Brion +1 more
openalex +2 more sources
An Automatic Error Detection Method for Machine Translation Results via Deep Learning
IEEE Access, 2023 Nowadays, the rapid development of natural language processing has brought great progress for the area of machine translation. Various deep neural network-based machine translation approaches have been more and more general.
Weihong Zhang
doaj +1 more source
Linguistic errors in the biomedical domain: Towards an error typology for Spanish [PDF]
Sintagma, 2021 The objective of this work is the analysis of errors contained in a corpus of medical reports in natural language and the design of a typology of errors, as there was no systematic review on verification and correction of errors in clinical ...
Jésica López Hernández +2 more
doaj +1 more source
VLSI Implementation of Multi-Bit Error Detection and Correction Codes for Space Communications
Ratio Mathematica, 2022 Data transmission in advanced space communications are suffering with the different types of noises. Further, these noises causeburst errors indata. Thus, the error correction codes (ECC) plays the major role to detect and correct the errors.
S Poongodi, Asoda Sunayana Rani
doaj +1 more source
A Universal, Low-Delay, SEC-DEC-TAEC Code for State Register Protection
IEEE Access, 2022 Finite State Machine (FSM) is widely used in electronic systems and its reliability is critical to the system. Ionizing radiation induced soft error is one of the major concerns in the design of electronic systems, especially in avionics or space ...
Meng Dong +5 more
doaj +1 more source
Non-Malleable Code in the Split-State Model
Entropy, 2022 Non-malleable codes are a natural relaxation of error correction and error detection codes applicable in scenarios where error-correction or error-detection is impossible.
Divesh Aggarwal +2 more
doaj +1 more source
SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition
, 2023 Error correction in automatic speech recognition (ASR) aims to correct those incorrect words in sentences generated by ASR models. Since recent ASR models usually have low word error rate (WER), to avoid affecting originally correct tokens, error ...
Yichong Leng +8 more
openalex +4 more sources
On the Positional Single Error Correction and Double Error Detection in Racetrack Memories
IEEE Access, 2023 In the era of non-volatile memories, the racetrack memory is a promising technology to pack hundreds of bits in a magnetic nanowire. A solid-state read head is grown alongside the nanowire to sense individual bits which are pushed across the head by a ...
Awais Saeed +4 more
doaj +1 more source
A Real-Time Error Detection (RTD) architecture and its use for reliability and post-silicon validation for F/F based memory arrays [PDF]
, 2022 This work proposes in-situ Real-Time Error Detection (RTD): embedding hardware in a memory array for detecting a fault in the array when it occurs, rather than when it is read.
Bramnik, Arkady +3 more
core +1 more source
Low-Latency Burst Error Detection and Correction in Decision-Feedback Equalization
IEEE Open Journal of Circuits and Systems, 2021 This article describes low latency, zero overhead DFE burst error correction technique. Without any encoder or decoder latency, the proposed technique makes use of the existing pre-cursor ISI to detect and correct errors on a burst of data.
Shovon Dey, Aurangozeb, Masum Hossain
doaj +1 more source