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An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut +16 more
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Quantum error correction below the surface code threshold. [PDF]
Google Quantum AI and Collaborators.
europepmc +1 more source
Evaluating LLMs' grammatical error correction performance in learner Chinese. [PDF]
Lin S.
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Hardware-efficient quantum error correction via concatenated bosonic qubits. [PDF]
Putterman H +120 more
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Mitigating Transmission Errors: A Forward Error Correction-Based Framework for Enhancing Objective Video Quality. [PDF]
Imtiaz MB, Kamran R.
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Joint encryption and error correction for secure quantum communication. [PDF]
Jha N, Parakh A, Subramaniam M.
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Error Correction in Residue Arithmetic
IEEE Transactions on Computers, 1972It is shown how single-error correction in a residue arithmetic system can be accomplished in an efficient and fast manner. Two redundant moduli are necessary. This construction is extended to multiple errors. Another method of error detection or correction for residue arithmetic is also described. Implementation of these methods is considered.
exaly +2 more sources
Error-correcting codes for correcting bursts of errors
Transactions of the American Institute of Electrical Engineers, Part I: Communication and Electronics, 1960In data transmission systems that are subject to noise, it is found that errors do not occur randomly but in bursts. Consequently, much interest has centered lately on the problem of constructing suitable error-correcting codes.
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Efficient Grammatical Error Correction with Hierarchical Error Detections and Correction
2021 IEEE International Conference on Web Services (ICWS), 2021Noisy text is common in semantic services and can have bad effects. Grammatical Error Correction (GEC) can be used to improve text quality, but traditional neural machine translation approaches need hundreds of milliseconds to correct a single text, which is unacceptable to time-sensitive services.
Fayu Pan, Bin Cao 0004
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