生手 发表于 2025-3-21 16:55:55

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Insubordinate 发表于 2025-3-21 21:02:14

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ANTIC 发表于 2025-3-22 02:52:07

Wahlen in der Bundesrepublik Deutschland,ures of these two approaches, we derive and compare explicit and implicit network diffusion and finite element methods for the SIS model. The learning objectives of this chapter on network epidemiology are to

relieve 发表于 2025-3-22 06:03:49

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figurine 发表于 2025-3-22 09:26:01

grate data and physics-based modeling.This innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynam

很是迷惑 发表于 2025-3-22 13:35:28

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很是迷惑 发表于 2025-3-22 21:02:36

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枯燥 发表于 2025-3-22 22:42:38

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LAVE 发表于 2025-3-23 02:13:45

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BILIO 发表于 2025-3-23 09:24:02

Textbook 2021, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of COVID-19. It teaches the relevant tools to model and simulate nonlinear dynamic systems in view of a global pandemic that is acutely relevant to human health..
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查看完整版本: Titlebook: Computational Epidemiology; Data-Driven Modeling Ellen Kuhl Textbook 2021 The Editor(s) (if applicable) and The Author(s), under exclusive