Results 41 to 50 of about 8,753,061 (307)

Fault-tolerant quantum error detection [PDF]

open access: yesScience Advances, 2016
We show the fault-tolerant encoding, measurement, and operation of a logical qubit via quantum error detection. Quantum computers will eventually reach a size at which quantum error correction becomes imperative. Quantum information can be protected from
N. Linke   +6 more
semanticscholar   +1 more source

Knowledge Error Detection via Textual and Structural Joint Learning

open access: yesBig Data Mining and Analytics
Knowledge graphs are essential tools for representing real-world facts and finding wide applications in various domains. However, the process of constructing knowledge graphs often introduces noises and errors, which can negatively impact the performance
Xiaoyu Wang   +4 more
doaj   +1 more source

Accurate Monitoring and Fault Detection in Wind Measuring Devices through Wireless Sensor Networks

open access: yesSensors, 2014
Many wind energy projects report poor performance as low as 60% of the predicted performance. The reason for this is poor resource assessment and the use of new untested technologies and systems in remote locations.
Komal Saifullah Khan, Muhammad Tariq
doaj   +1 more source

Compositional Sequence Labeling Models for Error Detection in Learner Writing [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2016
In this paper, we present the first experiments using neural network models for the task of error detection in learner writing. We perform a systematic comparison of alternative compositional architectures and propose a framework for error detection ...
Marek Rei, H. Yannakoudakis
semanticscholar   +1 more source

Neuroadaptive haptics: a proof-of-concept comparing reinforcement learning from explicit ratings and neural signals for adaptive XR systems

open access: yesFrontiers in Virtual Reality
IntroductionNeuroadaptive technology provides a promising path to enhancing immersive extended reality (XR) experiences by dynamically tuning multisensory feedback to user preferences. This study introduces a novel system employing reinforcement learning
Lukas Gehrke   +3 more
doaj   +1 more source

Design and implementation of parallel CRC algorithm for fibre channel on FPGA

open access: yesThe Journal of Engineering, 2019
Fibre channel (FC) provides the high-speed and low-latency communication between the end systems, widely used in data storage, aerospace applications and large electronic equipment including radar systems.
Wu Chuxiong, Shi Haifeng
doaj   +1 more source

IoT data cleaning techniques: A survey

open access: yesIntelligent and Converged Networks, 2022
Data cleaning is considered as an effective approach of improving data quality in order to help practitioners and researchers be devoted to downstream analysis and decision-making without worrying about data trustworthiness.
Xiaoou Ding   +5 more
doaj   +1 more source

La flexión nominal en la producción escrita de estudiantes benineses del profesorado de ELE [PDF]

open access: yesIkastorratza.e-Revista de Didáctica, 2020
This paper aims to examine the level of knowledge mastery of nominal concordance constructions in Beninese students in teaching Spanish as a foreign language and check if there are differences according to sex and status of government grant holder or not.
Laurent-Fidèle Sossouvi, Mei- Chih Lin
doaj   +1 more source

Quantum error correction for continuously detected errors [PDF]

open access: yesPhysical Review A, 2003
We show that quantum feedback control can be used as a quantum error correction process for errors induced by weak continuous measurement. In particular, when the error model is restricted to one, perfectly measured, error channel per physical qubit, quantum feedback can act to perfectly protect a stabilizer codespace. Using the stabilizer formalism we
Ahn, Charlene   +2 more
openaire   +8 more sources

Exploiting Unlabeled Data for Neural Grammatical Error Detection [PDF]

open access: yesJournal of Computational Science and Technology, 2016
Identifying and correcting grammatical errors in the text written by non-native writers have received increasing attention in recent years. Although a number of annotated corpora have been established to facilitate data-driven grammatical error detection
Zhuoran Liu, Yang Liu
semanticscholar   +1 more source

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