04608nam a22006255i 4500 978-3-031-74006-0 DE-He213 20251030114635.0 cr nn 008mamaa 241223s2024 sz | s |||| 0|eng d 9783031740060 978-3-031-74006-0 10.1007/978-3-031-74006-0 doi QA402.5-402.6 PBU bicssc MAT042000 bisacsh PBU thema Dynamics of Disasters [electronic resource] : From Natural Phenomena to Human Activity / edited by Ilias S. Kotsireas, Anna Nagurney, Panos M. Pardalos, Stefan Wolfgang Pickl, Chrysafis Vogiatzis. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XII, 251 p. 39 illus., 27 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Springer Optimization and Its Applications, 1931-6836 ; 217 Preface -- Networks under deep uncertainty -- Artificial Intelligence and Machine Learning in Precision Health: An Overview of Methods, Challenges, and Future Directions -- An Enhanced Multi-UAVs' Provider Framework for Delivering 5G Services using a Game Theoretic Approach -- Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations -- Prioritized Maximum Multi-Commodity Flow in Evacuation Planning -- Analysis of Digital Narratives of Greece’s Worst Train Accident -- Quantification of International Trade Network Performance Under Disruptions to Supply, Transportation, and Demand Capacity, and Exchange Rates in Disasters -- A geo-database of natural hazard events to identify relationships between hazards -- A random variational inequality model of an international agricultural supply chain with a vulnerability analysis under disaster scenarios -- Assessing the Impact of Multi-Hazard Events in Spain: A Clustering Index Framework. Based on the “Sixth International Conference on Dynamics of Disasters” (Piraeus, Greece, July 2023), this volume includes contributions from experts who share their latest discoveries on disasters either caused by natural phenomena or human activities. Authors provide overviews of the tactical points involved in disaster relief, outlines of hurdles from mitigation and preparedness to response and recovery and uses for mathematical models to describe disasters and their impacts. This volume includes additional invited manuscripts from other experts and leaders in the field. Topics covered include economics, optimization, machine learning, government, management, business, humanities, engineering, medicine, mathematics, computer science, behavioral studies, emergency services, and environmental studies and will engage readers from a wide variety of fields and backgrounds. Mathematical optimization. 65522 Operations research. 57943 Management science. 57941 Machine learning. 55059 Business logistics. 61225 Optimization. 65528 Operations Research, Management Science. 65527 Machine Learning. 55059 Supply Chain Management. 66371 Kotsireas, Ilias S. editor. edt http://id.loc.gov/vocabulary/relators/edt 89428 Nagurney, Anna. editor. edt http://id.loc.gov/vocabulary/relators/edt 89429 Pardalos, Panos M. editor. (orcid)0000-0001-9623-8053 https://orcid.org/0000-0001-9623-8053 edt http://id.loc.gov/vocabulary/relators/edt 68568 Pickl, Stefan Wolfgang. editor. edt http://id.loc.gov/vocabulary/relators/edt 69479 Vogiatzis, Chrysafis. editor. edt http://id.loc.gov/vocabulary/relators/edt 89430 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031740053 Printed edition: 9783031740077 Printed edition: 9783031740084 Springer Optimization and Its Applications, 1931-6836 ; 217 73211 https://doi.org/10.1007/978-3-031-74006-0 ZDB-2-SMA ZDB-2-SXMS 65966 65966