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Integrating Machine Learning and Optimization Techniques for Short-Term Management of Shared E-Scooters under Demand Uncertainty [an abstract of dissertation and a summary of dissertation review]

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Narith_Saum_abstract.pdf論文内容の要旨26.65 kBPDFView/Open
Narith_Saum_review.pdf審査の要旨81.87 kBPDFView/Open
Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/90858
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Title: Integrating Machine Learning and Optimization Techniques for Short-Term Management of Shared E-Scooters under Demand Uncertainty [an abstract of dissertation and a summary of dissertation review]
Other Titles: 機械学習と最適化技術の統合による需要不確実性下でのshared e-scooterの短期オペレーション [論文内容及び審査の要旨]
Authors: Saum, Narith Browse this author
Issue Date: 25-Sep-2023
Publisher: Hokkaido University
Conffering University: 北海道大学
Degree Report Number: 甲第15624号
Degree Level: 博士
Degree Discipline: 工学
Examination Committee Members: (主査) 准教授 杉浦 聡志, 教授 萩原 亨, 教授 内田 賢悦, 准教授 髙橋 翔
Degree Affiliation: 工学院(北方圏環境政策工学専攻)
Rights: https://creativecommons.org/licenses/by/4.0/
Type: theses (doctoral - abstract and summary of review)
URI: http://hdl.handle.net/2115/90858
Appears in Collections:課程博士 (Doctorate by way of Advanced Course) > 工学院(Graduate School of Engineering)
学位論文 (Theses) > 博士 (工学)

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