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LISS 2023 : Proceedings of 13th International Conference on Logistics, Informatics and Service Sciences / edited by Daqing Gong, Yixuan Ma, Xiaowen Fu, Juliang Zhang, Xiaopu Shang

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Operations ResearchPublisher: Singapore : Springer Nature Singapore, 2024Publisher: Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: 1 Online-Ressource(XI, 891 p. 269 illus., 209 illus. in color.)ISBN:
  • 9789819740451
Subject(s): Genre/Form: Additional physical formats: 9789819740444 | 9789819740468 | 9789819740475 | Erscheint auch als: 9789819740444 Druck-Ausgabe | Erscheint auch als: 9789819740468 Druck-Ausgabe | Erscheint auch als: 9789819740475 Druck-AusgabeDOI: DOI: 10.1007/978-981-97-4045-1Online resources: Summary: Retroverse Envisioning Combined Physical Fitness and Embodied Learning -- An Attribute Relationship Clustering Algorithm for Telecom Customer Group Discovery -- A Review on Sustainable Transportation and Circular Economy Actions on Urban -- Research on processing game problem of Fixed-Proportions Co-products under correlated demand.Summary: The proceeding volume focuses on the “AI and data driven technical and management innovation in logistics, informatics and services”. In detail the included scientific papers analyze the latest fundamental advances in the state of the art and practice of logistics, informatics, service operations and service science. The proceedings volume is documentation of LISS 2023 at Beijing and Hong Kong in July 26-28, 2023. It is co-organized by Beijing Jiaotong University and The Hong Kong Polytechnic University.PPN: PPN: 1896062717Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-BUM | ZDB-2-SXBM
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