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Titlebook: Optimization, Learning Algorithms and Applications; Third International Ana I. Pereira,Armando Mendes,José Lima Conference proceedings 202

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書目名稱Optimization, Learning Algorithms and Applications
副標(biāo)題Third International
編輯Ana I. Pereira,Armando Mendes,José Lima
視頻videohttp://file.papertrans.cn/704/703318/703318.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Optimization, Learning Algorithms and Applications; Third International  Ana I. Pereira,Armando Mendes,José Lima Conference proceedings 202
描述.This two-volume set CCIS 1981 and 1982 constitutes the?refereed post-conference proceedings of the?Third International Conference on Optimization, Learning Algorithms and Applications, OL2A 2023, held in?Ponta Delgada, Portugal, in September 2023..The 66 revised full papers presented in these proceedings were carefully reviewed and selected from 162 submissions. The papers are organized in the following topical sections:.Volume I:.Machine learning;?learning algorithms in engineering education;?machine learning and data analysis in internet of things;?optimization;?optimization in the SDG context..Volume II:.Computer vision based on learning algorithms;?machine learning and AI in robotics; optimization in control systems design..
出版日期Conference proceedings 2024
關(guān)鍵詞artificial intelligence; classification; computer networks; computer systems; computer vision; correlatio
版次1
doihttps://doi.org/10.1007/978-3-031-53025-8
isbn_softcover978-3-031-53024-1
isbn_ebook978-3-031-53025-8Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Optimization, Learning Algorithms and ApplicationsThird International
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Effect of?Weather Conditions and?Transactions Records on?Work Accidents in?the?Retail Sector – A Cascurrence of work accidents with weather conditions and some transactions pointed out the nonexistence of correlation between the data. Evaluating the precision and the confusion matrix of the predictive models, the study indicates a predisposition of the models to predict the non-occurrence of work
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Barriers to Organizations to Adopt Digital Transformation for Driving Eco-Innovation and Sustainablecantly impede organizations’ efforts to drive eco-innovation and sustainable performance. The article concludes by proposing avenues for future research and practical implications for organizations seeking to overcome these barriers. This contributes to the literature on digital transformation, eco-
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