LISS2019 : proceedings of the 9th International Conference on Logistics, Informatics and Service Sciences / Juliang Zhang, Martin Dresner, Runtong Zhang, Guowei Hua, Xiaopu Shang, editors.
International Conference on Logistics, Informatics and Service Sciences (9th : 2019 : College Park, Md.); Zhang, Juliang.; Dresner, Martin.; Zhang, Runtong.; Hua, Guowei.; Shang, Xiaopu.
2020
HD38.5
Available Online

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Title LISS2019 : proceedings of the 9th International Conference on Logistics, Informatics and Service Sciences / Juliang Zhang, Martin Dresner, Runtong Zhang, Guowei Hua, Xiaopu Shang, editors.
Meeting Name International Conference on Logistics, Informatics and Service Sciences (9th : 2019 : College Park, Md.)
ISBN 9789811556821 (electronic book)
9811556822 (electronic book)
9811556814
9789811556814
DOI https://doi.org/10.1007/978-981-15-5
Publication Details Singapore : Springer, 2020.
Language English
Description 1 online resource
Item Number 10.1007/978-981-15-5
Call Number HD38.5
Dewey Decimal Classification 658.5
Summary This book focuses on AI and data-driven technical and management innovations in logistics, informatics and services. The respective papers analyze in detail the latest fundamental advances in the state of the art and practice of logistics, informatics, service operations and service science. The book gathers the outcomes of the "9th International Conference on Logistics, Informatics and Service Sciences," which was held at the University of Maryland, USA.
Note International conference proceedings.
Access Note Access limited to authorized users.
Added Author Zhang, Juliang.
Dresner, Martin.
Zhang, Runtong.
Hua, Guowei.
Shang, Xiaopu.
Available in Other Form Print version: 9789811556814
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The Risk Sharing of Inter-city Railway PPP Project in China
The Integration Degree of Logistics Industry and Regional Agglomeration Industry
Governments Role Choice in Market Regulation from an Information-Disclosure Perspective
A Data-driven Methodology for Operational Risk Analytics Using Bayesian Network
Order Batching of Intelligent Warehouse Order Picking System Based on Logistics Robots
Modeling and Analysis on the Capacity of Centralized Directional Multi-hop Ad Hoc Networks
Adaptive Routing Based on Wireless Ad Hoc Networks
Grid Path Planning for Mobile Robots with Improved Q-learning Algorithm
Content-based Weibo User Interest Recognition
Intellectual Structure Detection Using Heterogeneous Data Clustering Method
Technical Efficiency Analysis of Bus Companies.

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