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Research article

First published 2025

Kernel clustering-based deep model pruning for few category datasets

Yuchen Huang, Jie Xie, Kangwei Wang [...]

Intelligent Data Analysis: An International Journal

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Research article

First published 2019-10-09

Deep pruned nets for efficient image-based plants disease classification

Edna C. Too, Yujian Li, Pius Kwao [...]

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

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Research article

First published 2022-02-02

Filter pruning - deeper layers need fewer filters

Heng Wang, Xiang Ye, Yong Li

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

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Research article

First published 2020-11-19

Multi-granularity pruning for deep residual networks

Yangke Huang, Zhiming Wang

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

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Research article

First published 2023-10-13

Dynamic finegrained structured pruning sensitive to filter texture distribution

Ping Li, Yuzhe Wang, Cong Wu [...]

The European Journal on Artificial Intelligence

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Research article

First published 2023-7

Filter pruning via feature map clustering

Wei Li, Yongxing He, Xiaoyu Zhang [...]

Intelligent Data Analysis: An International Journal

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Research article

First published 2024-11

Application of automatic structured pruning method based on YOLO in power operation scenarios

Shuang Lin, Jianye Huang, Chenxiang Lin [...]

Intelligent Decision Technologies

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Research article

First published 2022-01-25

Distracted driver detection using compressed energy efficient convolutional neural network

Jafar A. Alzubi, Rachna Jain, Omar Alzubi [...]

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

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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 2023-12

Pixel-level pruning deep supervision UNet++ for detecting fabric defects

Erhu Zhang, Xuejuan Kang

Textile Research Journal

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