Congeal 发表于 2025-3-26 23:01:48

Big Data-Driven Citywide Human Mobility Modeling for Emergency Management,emergency management: (1) . a rare event in the past, (2) . the human mobility during a rare event, and (3) . an imaginary rare event. In the end, we conclude with a summarization of this chapter and future directions on this topic.

爱哭 发表于 2025-3-27 01:46:37

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mechanism 发表于 2025-3-27 07:32:35

Masud Chaichian,Nikolai F. Nelipaand emergency services, and describe various methods of user, content, network, context, and visual analytics to process and analyze social media data for disaster management and community resilience.

LAY 发表于 2025-3-27 11:48:45

Path Integrals and Transition Amplitudesemergency management: (1) . a rare event in the past, (2) . the human mobility during a rare event, and (3) . an imaginary rare event. In the end, we conclude with a summarization of this chapter and future directions on this topic.

起皱纹 发表于 2025-3-27 17:36:33

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爵士乐 发表于 2025-3-27 19:41:07

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MUT 发表于 2025-3-28 01:54:52

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能量守恒 发表于 2025-3-28 04:10:58

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Meager 发表于 2025-3-28 09:58:46

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Migratory 发表于 2025-3-28 13:42:24

Introduction to Emergency Management,ation technology have a profound impact on emergency management by making unprecedented volumes of data available to decision makers. This has resulted in new challenges related to an effective management of large volumes of data. In this chapter, we examine basic concepts of emergency management and provide its brief history.
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查看完整版本: Titlebook: Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data; Rajendra Akerkar Book 2020 Springer Nature Switzerla