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LISS2019
Details
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.
Provides insights into solving a range of problems in logistics, informatics, service operations, and service science Highlights research in such areas as logistics, supply chain, information management, and service science Discusses key issues, reviews emerging trends, and shares the latest insights
Inhalt
The Risk Sharing of Inter-city Railway PPP Project in China.- The Integration Degree of Logistics Industry and Regional Agglomeration Industry.- Government's 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.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Editor Juliang Zhang, Martin Dresner, Xiaopu Shang, Guowei Hua, Runtong Zhang
- Titel LISS2019
- Veröffentlichung 10.07.2021
- ISBN 9811556849
- Format Kartonierter Einband
- EAN 9789811556845
- Jahr 2021
- Größe H235mm x B155mm x T54mm
- Untertitel Proceedings of the 9th International Conference on Logistics, Informatics and Service Sciences
- Gewicht 1486g
- Auflage 1st edition 2020
- Genre Management
- Lesemotiv Verstehen
- Anzahl Seiten 1004
- Herausgeber Springer Nature Singapore
- GTIN 09789811556845