Các bài viết có thể truy cập công khai - Stefano GalelliTìm hiểu thêm
Không có ở bất kỳ nơi nào: 4
Deep-learning approach to the detection and localization of cyber-physical attacks on water distribution systems
R Taormina, S Galelli
Journal of Water Resources Planning and Management 144 (10), 04018065, 2018
Các cơ quan ủy nhiệm: National Research Foundation, Singapore
Toward improved design of check dam systems: a case study in the Loess Plateau, China
D Pal, S Galelli, H Tang, Q Ran
Journal of Hydrology 559, 762-773, 2018
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Pressure-driven modeling of cyber-physical attacks on water distribution systems
HC Douglas, R Taormina, S Galelli
Journal of Water Resources Planning and Management 145 (3), 06019001, 2019
Các cơ quan ủy nhiệm: National Research Foundation, Singapore
Real-time detection of cyber-physical attacks on water distribution systems using deep learning
R Taormina, S Galelli
World environmental and water resources congress 2017, 469-479, 2017
Các cơ quan ủy nhiệm: National Research Foundation, Singapore
Có tại một số nơi: 23
Battle of the attack detection algorithms: Disclosing cyber attacks on water distribution networks
R Taormina, S Galelli, NO Tippenhauer, E Salomons, A Ostfeld, ...
Journal of Water Resources Planning and Management 144 (8), 04018048, 2018
Các cơ quan ủy nhiệm: US National Science Foundation, European Commission, National Research …
A Review of Cybersecurity Incidents in the Water Sector
A Hassanzadeh, A Rasekh, S Galelli, M Aghashahi, R Taormina, ...
Journal of Environmental Engineering 146 (5), 2020
Các cơ quan ủy nhiệm: European Commission, National Research Foundation, Singapore
Characterizing cyber-physical attacks on water distribution systems
R Taormina, S Galelli, NO Tippenhauer, E Salomons, A Ostfeld
Journal of Water Resources Planning and Management 143 (5), 04017009, 2017
Các cơ quan ủy nhiệm: National Research Foundation, Singapore
Examining global electricity supply vulnerability to climate change using a high-fidelity hydropower dam model
SWD Turner, JY Ng, S Galelli
Science of the Total Environment 590, 663-675, 2017
Các cơ quan ủy nhiệm: US Department of Energy
Complex relationship between seasonal streamflow forecast skill and value in reservoir operations
SWD Turner, JC Bennett, DE Robertson, S Galelli
Hydrology and Earth System Sciences 21 (9), 4841-4859, 2017
Các cơ quan ủy nhiệm: US Department of Energy
Constrained concealment attacks against reconstruction-based anomaly detectors in industrial control systems
A Erba, R Taormina, S Galelli, M Pogliani, M Carminati, S Zanero, ...
Proceedings of the 36th Annual Computer Security Applications Conference …, 2020
Các cơ quan ủy nhiệm: European Commission, National Research Foundation, Singapore
Solar energy and regional coordination as a feasible alternative to large hydropower in Southeast Asia
K Siala, AK Chowdhury, TD Dang, S Galelli
Nature Communications 12 (1), 4159, 2021
Các cơ quan ủy nhiệm: National Research Foundation, Singapore
Exploding the myths: An introduction to artificial neural networks for prediction and forecasting
HR Maier, S Galelli, S Razavi, A Castelletti, A Rizzoli, IN Athanasiadis, ...
Environmental modelling & software 167, 105776, 2023
Các cơ quan ủy nhiệm: Australian Research Council
Coherent streamflow variability in monsoon Asia over the past eight centuries—Links to oceanic drivers
HTT Nguyen, SWD Turner, BM Buckley, S Galelli
Water Resources Research 56 (12), e2020WR027883, 2020
Các cơ quan ủy nhiệm: US Department of Energy
Predicting the Likely Thermal Impact of Current and Future Dams Around the World
S Ahmad, F Hossain, G Holtgrieve, T Pavelsky, S Galelli
Earth's Future 9 (10), e2020EF001916, 2021
Các cơ quan ủy nhiệm: US National Science Foundation, US National Aeronautics and Space Administration
Enabling a low-carbon electricity system for Southern Africa
AFMK Chowdhury, R Deshmukh, GC Wu, A Uppal, A Mileva, T Curry, ...
Joule 6 (8), 1826-1844, 2022
Các cơ quan ủy nhiệm: US National Science Foundation
Cascading failures in interconnected power-to-water networks
E Pournaras, R Taormina, M Thapa, S Galelli, V Palleti, R Kooij
ACM SIGMETRICS Performance Evaluation Review 47 (4), 16-20, 2020
Các cơ quan ủy nhiệm: National Research Foundation, Singapore
Increasing drought risks over the past four centuries amidst projected flood intensification in the Kabul River Basin (Afghanistan and Pakistan)—Evidence from tree rings
N Khan, HTT Nguyen, S Galelli, P Cherubini
Geophysical Research Letters 49 (24), e2022GL100703, 2022
Các cơ quan ủy nhiệm: Swiss National Science Foundation, US Agency for International Development
Simulation of cyber-physical attacks on water distribution systems with EPANET
R Taormina, S Galelli, NO Tippenhauer, E Salomons, A Ostfeld
Proceedings of the Singapore Cyber-Security Conference (SG-CRC) 2016, 123-130, 2016
Các cơ quan ủy nhiệm: National Research Foundation, Singapore
Droughts, Pluvials, and Wet Season Timing Across the Chao Phraya River Basin: A 254-Year Monthly Reconstruction From Tree Ring Widths and δ18O
TTN Hung, S Galelli, C Xu, BM Buckley
Geophysical Research Letters 49 (17), e2022GL100442, 2022
Các cơ quan ủy nhiệm: US National Science Foundation, US National Institutes of Health, Chinese …
Multi‐proxy, multi‐season streamflow reconstruction with mass balance adjustment
HTT Nguyen, S Galelli, C Xu, BM Buckley
Water Resources Research 57 (8), e2020WR029394, 2021
Các cơ quan ủy nhiệm: US National Science Foundation, Chinese Academy of Sciences, National …
Chương trình máy tính sẽ tự động xác định thông tin xuất bản và thông tin về nhà tài trợ