Kamu erişimi zorunlu olan makaleler - Milad MemarzadehDaha fazla bilgi edinin
Hiçbir yerde sunulmuyor: 2
Semi-supervised active learning for anomaly detection in aviation
M Memarzadeh, B Matthews, T Templin, A Sharif Rohani, D Weckler
Journal of Aerospace Information Systems 20 (4), 181-194, 2023
Zorunlu olanlar: US National Aeronautics and Space Administration
Novel Active Learning Framework for Anomaly Detection in Aviation with Expert in the Loop
M Memarzadeh, B Matthews, T Templin, A Sharif Rohani, D Weckler
AIAA SCITECH 2022 Forum, 2542, 2022
Zorunlu olanlar: US National Aeronautics and Space Administration
Bir yerde sunuluyor: 20
Unsupervised anomaly detection in flight data using convolutional variational auto-encoder
M Memarzadeh, B Matthews, I Avrekh
Aerospace 7 (8), 115, 2020
Zorunlu olanlar: US National Aeronautics and Space Administration
Rebuilding global fisheries under uncertainty
M Memarzadeh, GL Britten, B Worm, C Boettiger
Proceedings of the National Academy of Sciences 116 (32), 15985-15990, 2019
Zorunlu olanlar: US National Science Foundation, US Department of Agriculture
Model-free reinforcement learning with model-based safe exploration: Optimizing adaptive recovery process of infrastructure systems
M Memarzadeh, M Pozzi
Structural Safety 80, 46-55, 2019
Zorunlu olanlar: US National Science Foundation
Hidden-model processes for adaptive management under uncertain climate change
M Pozzi, M Memarzadeh, K Klima
Journal of Infrastructure Systems 23 (4), 04017022, 2017
Zorunlu olanlar: US National Science Foundation
Multi-Class Anomaly Detection in Flight Data Using Semi-Supervised Explainable Deep Learning Model
M Memarzadeh, B Matthews, T Templin
AIAA Scitech 2021 Forum, 0774, 2021
Zorunlu olanlar: US National Aeronautics and Space Administration
Adaptive management of ecological systems under partial observability
M Memarzadeh, C Boettiger
Biological Conservation 224, 9-15, 2018
Zorunlu olanlar: US National Science Foundation, US Department of Agriculture
Optimizing dynamics of integrated food–energy–water systems under the risk of climate change
M Memarzadeh, S Moura, A Horvath
Environmental Research Letters 14 (7), 074010, 2019
Zorunlu olanlar: US National Science Foundation
Robust and explainable semi-supervised deep learning model for anomaly detection in aviation
M Memarzadeh, A Akbari Asanjan, B Matthews
Aerospace 9 (8), 437, 2022
Zorunlu olanlar: US National Aeronautics and Space Administration
Multi-agent management of integrated food-energy-water systems using stochastic games: from Nash equilibrium to the social optimum
M Memarzadeh, S Moura, A Horvath
Environmental Research Letters 15 (9), 0940a4, 2020
Zorunlu olanlar: US National Science Foundation
Probabilistic wildfire segmentation using supervised deep generative model from satellite imagery
A Akbari Asanjan, M Memarzadeh, PA Lott, E Rieffel, S Grabbe
Remote Sensing 15 (11), 2718, 2023
Zorunlu olanlar: US National Aeronautics and Space Administration
Resolving the measurement uncertainty paradox in ecological management
M Memarzadeh, C Boettiger
The American Naturalist 193 (5), 645-660, 2019
Zorunlu olanlar: US National Science Foundation, US Department of Agriculture
Physics-informed surrogate modeling for supporting climate resilience at groundwater contamination sites
A Meray, L Wang, T Kurihana, I Mastilovic, S Praveen, Z Xu, ...
Computers & Geosciences 183, 105508, 2024
Zorunlu olanlar: US Department of Energy, US National Aeronautics and Space Administration
Anomaly detection in aeronautics data with quantum-compatible discrete deep generative model
T Templin, M Memarzadeh, W Vinci, PA Lott, AA Asanjan, AA Armenakas, ...
Machine Learning: Science and Technology 4 (3), 035018, 2023
Zorunlu olanlar: US National Science Foundation, US National Aeronautics and Space Administration
Quantum-compatible variational segmentation for image-to-image wildfire detection using satellite data
AA Asanjan, M Memarzadeh, PA Lott, T Templin, E Rieffel
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
Zorunlu olanlar: US National Aeronautics and Space Administration
A sequential decision making prospective on resilience.
M Pozzi, M Memarzadeh
ICOSSAR, 12th International Conference on Structural Safety and Reliability, 2017
Zorunlu olanlar: US National Science Foundation
AI-aided exploration of lunar arch forms under in-plane seismic loading
J Maqdah, M Memarzadeh, G Kampas, C Málaga-Chuquitaype
Acta Mechanica 235 (3), 1517-1533, 2024
Zorunlu olanlar: UK Engineering and Physical Sciences Research Council
Anomaly Detection in Flight Operational Data Using Deep Learning
M Memarzadeh, BL Matthews, DI Weckler
System-Wide Safety Technical Challenge 1 Close Out Event, 2023
Zorunlu olanlar: US National Aeronautics and Space Administration
Optimization of Airport Runway Configuration with Forecast-Augmented Offline Reinforcement Learning
S Nethi, M Memarzadeh, K Kalyanam
AIAA SciTech Forum and Exposition, 2024
Zorunlu olanlar: US National Aeronautics and Space Administration
Yayıncılık ve maddi kaynak bilgileri otomatik olarak bir bilgisayar programı tarafından belirlenmektedir