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Research article

First published 2004-10

A rule merging technique for handling noise in inductive learning

D T Pham, S Bigot, S S Dimov

Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science

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Research article

First published 2020-6

Monolingual and Bilingual Word Recognition and Word Learning in Background Noise

Giovanna Morini, Rochelle S. Newman

Language and Speech

Open access

Research article

First published 2025

Bayesian machine learning for measurement noise estimation of focus variation microscopy instrument

Anas Alburayt, Wahyudin P. Syam

Measurement and Control

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Research article

First published 2018-12-24

Intelligent noise prediction scheme with pattern analysis and deep learning technique

Sang-Hyeon Lee, Moon-Sik Kang

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2015-11

Effect of Repeated Exposures on Word Learning in Quiet and Noise

Kristina M. Blaiser, Peggy B. Nelson, Kathryn Kohnert

Communication Disorders Quarterly

Open access

Review article

First published 2025-3

The effect of classroom acoustics and noise on preschool children’s listening,learning,and wellbeing: A scoping review

Kiri Mealings, Joerg M Buchholz

Building Acoustics

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Research article

First published 2025

A semi-supervised learning framework for bearing fault recognition under strong noise

Ning Zhou, Lei Liu, Yao Cheng [...]

Structural Health Monitoring

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Research article

First published 2025-5

Tire noise prediction based on transfer learning and multi-modal fusion

Chen Liang, Menglong Hao, Yucheng Shen [...]

Proceedings of the Institution of Mechanical Engineers,Part D: Journal of Automobile Engineering

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Research article

First published 2021-04-22

Confident sequence learning: A sequence class-label noise filtering technique to improve scene digit recognition

Haiqing Liu, Daoxing Li, Yuancheng Li

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2023-5

Deep learning-based noise reduction for coronary CT angiography: using four-dimensional noise-reduction images as the ground truth

Takuma Kobayashi, Tatsuya Nishii, Kensuke Umehara [...]

Acta Radiologica

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