Using Audiometric Data to Weigh and Prioritize Factors that Affect Workers’ Hearing Loss through Support Vector Machine (SVM) Algorithm-Reference-Cited by-同舟云学术

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Using Audiometric Data to Weigh and Prioritize Factors that Affect Workers’ Hearing Loss through Support Vector Machine (SVM) Algorithm

Published:2020 Issue:2 Volume:54 Page:99-112
ISSN:1541-0161
Container-title:Sound&Vibration
language:en
Short-container-title:

Author:

ElahiShirvan Hossein,Ghotbi-Ravandi MohammadReza,Zare Sajad,Ghazizadeh Ahsaee Mostafa

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Mechanical Engineering,Acoustics and Ultrasonics,Safety, Risk, Reliability and Quality

Link

http://www.techscience.com/sv/v54n2/38973/pdf

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HyTEA: Hybrid Tree Evolutionary Algorithm;Lecture Notes in Computer Science;2023

2. Evaluation of Environmental Sound Pressure Level, Drawing of Noise-Isosonic Map Using Surfer V.19, and Prioritization of Engineering Noise Control Methods Using the Analytic Hierarchy Process (AHP): A Field Study in CGS Stations;Sound&Vibration;2022

3. Contributions and limitations of using machine learning to predict noise-induced hearing loss;International Archives of Occupational and Environmental Health;2021-01-25

4. Evaluation of Individual and Environmental Sound Pressure Level and Drawing Noise-Isosonic Maps using Surfer V.14 and Noise at Work V.5.0;Sound&Vibration;2021

5. Acoustic Properties of Micro-Perforated Panels Made from Oil Palm Empty Fruit Bunch Fiber Reinforced Polylactic Acid;Sound&Vibration;2021

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