Machine learning approach to crisis management exercise analysis: A case study in SURE project

Henry Joutsijoki; Sari Mäenpää; Ilari Karppi; Iina Sankala

doi:10.1007/978-3-031-35982-8_8

Machine learning approach to crisis management exercise analysis: A case study in SURE project

Henry Joutsijoki, Sari Mäenpää, Ilari Karppi, Iina Sankala

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

Original language	English
Title of host publication	Smart Technologies for Sustainable and Resilient Ecosystems
Subtitle of host publication	3rd EAI International Conference, Edge-IoT 2022, and 4th EAI International Conference, SmartGov 2022, Virtual Events, November 16-18, 2022, Proceedings
Publisher	Springer
Pages	102-116
ISBN (Electronic)	978-3-031-35982-8
DOIs	https://doi.org/10.1007/978-3-031-35982-8_8
Publication status	Published - 2023
Publication type	A4 Article in conference proceedings
Event	International Conference on Smart Governance for Sustainable Smart Cities - , Portugal Duration: 16 Nov 2022 → 18 Nov 2022

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Publisher	Springer
ISSN (Electronic)	1867-822X

Conference

Conference	International Conference on Smart Governance for Sustainable Smart Cities
Abbreviated title	Edge-IoT, SmartGov
Country/Territory	Portugal
Period	16/11/22 → 18/11/22

Publication forum classification

Publication forum level 1

Access to Document

10.1007/978-3-031-35982-8_8

Cite this

Joutsijoki, H., Mäenpää, S., Karppi, I., & Sankala, I. (2023). Machine learning approach to crisis management exercise analysis: A case study in SURE project. In Smart Technologies for Sustainable and Resilient Ecosystems: 3rd EAI International Conference, Edge-IoT 2022, and 4th EAI International Conference, SmartGov 2022, Virtual Events, November 16-18, 2022, Proceedings (pp. 102-116). (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering). Springer. https://doi.org/10.1007/978-3-031-35982-8_8

Joutsijoki, Henry ; Mäenpää, Sari ; Karppi, Ilari et al. / Machine learning approach to crisis management exercise analysis : A case study in SURE project. Smart Technologies for Sustainable and Resilient Ecosystems: 3rd EAI International Conference, Edge-IoT 2022, and 4th EAI International Conference, SmartGov 2022, Virtual Events, November 16-18, 2022, Proceedings. Springer, 2023. pp. 102-116 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering).

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title = "Machine learning approach to crisis management exercise analysis: A case study in SURE project",

author = "Henry Joutsijoki and Sari M{\"a}enp{\"a}{\"a} and Ilari Karppi and Iina Sankala",

year = "2023",

doi = "10.1007/978-3-031-35982-8_8",

language = "English",

series = "Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering",

publisher = "Springer",

pages = "102--116",

booktitle = "Smart Technologies for Sustainable and Resilient Ecosystems",

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Joutsijoki, H, Mäenpää, S, Karppi, I & Sankala, I 2023, Machine learning approach to crisis management exercise analysis: A case study in SURE project. in Smart Technologies for Sustainable and Resilient Ecosystems: 3rd EAI International Conference, Edge-IoT 2022, and 4th EAI International Conference, SmartGov 2022, Virtual Events, November 16-18, 2022, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Springer, pp. 102-116, International Conference on Smart Governance for Sustainable Smart Cities, Portugal, 16/11/22. https://doi.org/10.1007/978-3-031-35982-8_8

Machine learning approach to crisis management exercise analysis: A case study in SURE project. / Joutsijoki, Henry; Mäenpää, Sari; Karppi, Ilari et al.
Smart Technologies for Sustainable and Resilient Ecosystems: 3rd EAI International Conference, Edge-IoT 2022, and 4th EAI International Conference, SmartGov 2022, Virtual Events, November 16-18, 2022, Proceedings. Springer, 2023. p. 102-116 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Machine learning approach to crisis management exercise analysis

T2 - International Conference on Smart Governance for Sustainable Smart Cities

AU - Joutsijoki, Henry

AU - Mäenpää, Sari

AU - Karppi, Ilari

AU - Sankala, Iina

PY - 2023

Y1 - 2023

U2 - 10.1007/978-3-031-35982-8_8

DO - 10.1007/978-3-031-35982-8_8

M3 - Conference contribution

T3 - Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

SP - 102

EP - 116

BT - Smart Technologies for Sustainable and Resilient Ecosystems

PB - Springer

Y2 - 16 November 2022 through 18 November 2022

ER -

Joutsijoki H, Mäenpää S, Karppi I , Sankala I. Machine learning approach to crisis management exercise analysis: A case study in SURE project. In Smart Technologies for Sustainable and Resilient Ecosystems: 3rd EAI International Conference, Edge-IoT 2022, and 4th EAI International Conference, SmartGov 2022, Virtual Events, November 16-18, 2022, Proceedings. Springer. 2023. p. 102-116. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering). doi: 10.1007/978-3-031-35982-8_8