Artikel mit Open-Access-Mandaten - Shunichi KoshimuraWeitere Informationen
Nicht verfügbar: 4
Effects on river macroinvertebrate communities of tsunami propagation after the 2011 Great East Japan Earthquake
K Watanabe, S Yaegashi, H Tomozawa, S Koshimura, T Omura
Freshwater biology 59 (7), 1474-1483, 2014
Mandate: Leibniz-Gemeinschaft
Life‐cycle risk assessment of building portfolios subjected to tsunamis under non‐stationary sea‐level rise based on a compound renewal process
AK Alhamid, M Akiyama, K Aoki, S Koshimura, DM Frangopol
Earthquake Engineering & Structural Dynamics 52 (7), 1961-1982, 2023
Mandate: Japan Science and Technology Agency
Developing a Framework for Rapid Collapsed Building Mapping Using Satellite Imagery and Deep Learning Models
B Adriano, H Miura, W Liu, M Matsuoka, S Koshimura
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
Mandate: Japan Science and Technology Agency
Flood Inundation Depth Estimation from SAR-Based Flood Extent and DEM
L Moya, E Mas, S Koshimura
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
Mandate: Japan Science and Technology Agency
Verfügbar: 12
A proposed methodology for deriving tsunami fragility functions for buildings using optimum intensity measures
J Macabuag, T Rossetto, I Ioannou, A Suppasri, D Sugawara, B Adriano, ...
Natural Hazards 84, 1257-1285, 2016
Mandate: UK Engineering and Physical Sciences Research Council
The privacy and security implications of open data in healthcare
S Kobayashi, TB Kane, C Paton
Yearbook of medical informatics 27 (01), 041-047, 2018
Mandate: Department of International Development, UK, UK Economic and Social Research …
Stochastic renewal process model of time-variant tsunami hazard assessment under nonstationary effects of sea-level rise due to climate change
AK Alhamid, M Akiyama, K Aoki, S Koshimura, DM Frangopol
Structural Safety 99, 102263, 2022
Mandate: Japan Science and Technology Agency
Disaster intensity-based selection of training samples for remote sensing building damage classification
L Moya, C Geiß, M Hashimoto, E Mas, S Koshimura, G Strunz
IEEE Transactions on Geoscience and Remote Sensing 59 (10), 8288-8304, 2021
Mandate: Helmholtz Association
A Reinforcement Learning Model of Multiple UAVs for Transporting Emergency Relief Supplies
D Hachiya, E Mas, S Koshimura
Applied Sciences 12 (20), 10427, 2022
Mandate: Japan Science and Technology Agency
The 1755 Lisbon Tsunami at Vila do Bispo Municipality, Portugal
A Santos, S Koshimura
Journal of Disaster Research 10 (6), 1067-1080, 2015
Mandate: Fundação para a Ciência e a Tecnologia, Portugal
Sparse representation-based inundation depth estimation using sAR data and digital elevation model
L Moya, E Mas, S Koshimura
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022
Mandate: Japan Science and Technology Agency
Beyond tsunami fragility functions: experimental assessment for building damage estimation
R Vescovo, B Adriano, E Mas, S Koshimura
Scientific reports 13 (1), 14337, 2023
Mandate: Japan Science and Technology Agency
Advances of international collaboration on M9 disaster science: scientific session report
E Maly, K Terada, RJ LeVeque, N Kuriyama, DB Abramson, LT Nguyen, ...
Journal of Disaster Research 15 (7), 890-899, 2020
Mandate: US National Oceanic and Atmospheric Administration
Flood Hazard-Based Evacuation Curve Using Mobile Spatial Statistics
M Hashimoto, E Mas, S Egawa, D Sano, S Koshimura
Available at SSRN 4271169, 2022
Mandate: Japan Science and Technology Agency
Proposed methodology for defining optimal intensity measures for empirical tsunami fragility functions
J Macabuag, T Rossetto, I Ioannou, A Suppasri, D Sugawara, B Adriano, ...
16th World Conference on Earthquake–WCEE, 9-13, 2017
Mandate: UK Engineering and Physical Sciences Research Council
Anomaly Detection in Mobile Spatial Statistics for Disaster Risk Management
E Mas, S Koshimura
Available at SSRN 4410149, 2023
Mandate: Japan Science and Technology Agency
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