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Titlebook: Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management; 14th International C Vincent G. Duffy Conference

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發(fā)表于 2025-3-21 16:28:38 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management
副標(biāo)題14th International C
編輯Vincent G. Duffy
視頻videohttp://file.papertrans.cn/280/279398/279398.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management; 14th International C Vincent G. Duffy Conference
描述.This book constitutes the refereed proceedings of the 14th Digital Human Modeling & Applications in Health, Safety, Ergonomics & Risk Management (DHM) Conference, held as part of the 25th International Conference, HCI International 2023, which was held virtually in Copenhagen, Denmark in July 2023..The total of 1578 papers and 396 posters included in the HCII 2023 proceedings was carefully reviewed and selected from 7472 submissions.. .The DHM 2023 method focuses on different areas of application and has produced works focused on human factors and ergonomics based on human models, novel approaches in healthcare and the application of artificial intelligence in medicine. Interesting applications will be shown in many sectors. Work design and productivity, robotics and intelligent systems are among this year‘s human-machine modeling and results reporting efforts..
出版日期Conference proceedings 2023
關(guān)鍵詞Digital Human Models; Healthcare; Artificial Intelligence in medicine; Human-technology modeling; Digita
版次1
doihttps://doi.org/10.1007/978-3-031-35748-0
isbn_softcover978-3-031-35747-3
isbn_ebook978-3-031-35748-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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A Hybrid Multi-criteria Framework for Evaluating the Performance of Clinical Labs During the Covid-1 diseases, epidemics/pandemics, and other disastrous events. However, various operational shortcomings become glaring in the labs also propelled by the virus’s ever-changing dynamics and rapid evolution. Therefore, this paper presents a novel hybrid intuitionistic Multi-criteria Decision-Making (MCD
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