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Ergonomic risk level prediction framework for multiclass imbalanced data

  • Published:2023-10 Issue: Volume:184 Page:109556
  • ISSN:0360-8352
  • Container-title:Computers & Industrial Engineering
  • language:en
  • Short-container-title:Computers & Industrial Engineering

Author:

Senjaya Wenny Franciska,Yahya Bernardo Nugroho,Lee Seok-Lyong

Funder

National Research Foundation of Korea

Korea Ministry of Science and ICT

Hankuk University of Foreign Studies

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference56 articles.

1. A novel hybrid bidirectional unidirectional LSTM network for dynamic hand gesture recognition with Leap Motion;Ameur;Entertainment Computing,2020

2. An improved algorithm for neural network classification of imbalanced training sets;Anand;IEEE Transactions on Neural Networks,1993

3. Deep over-sampling framework for classifying imbalanced data;Ando,2017

4. ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis;Basiri;Future Generation Computer Systems,2021

5. Motion Analysis System (MAS) for production and ergonomics assessment in the manufacturing processes;Bortolini;Computers & Industrial Engineering,2020

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3. Smart Ergonomic Practices With IoT and Cloud Computing for Injury Prevention and Human Motion Analysis;2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI);2023-12-29
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