Load monitoring of aerospace structures utilizing micro-electro-mechanical systems for static and quasi-static loading conditions M Martinez, B Rocha, M Li, G Shi, A Beltempo, R Rutledge, ...
Smart materials and structures 21 (11), 115001, 2012
16 2012 Load Monitoring of Aerospace Structures Using Micro-Electro-Mechanical Systems (MEMS) M Martinez, B Rocha, M Li, G Shi, A Beltempo, R Rutledge, ...
ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent …, 2012
7 2012 SymAE: an autoencoder with embedded physical symmetries for passive time-lapse monitoring P Bharadwaj, M Li, L Demanet
SEG International Exposition and Annual Meeting, D041S100R007, 2020
6 2020 Exploration of Flight State and Control System Parameters for Prediction of Helicopter Loads via Gamma Test and Machine Learning Techniques C Cheung, JJ Valdes, M Li
Real World Data Mining Applications 17, 359-385, 2015
6 2015 Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks M Li, L Demanet, L Zepeda-Núñez
Multiscale Modeling & Simulation 20 (4), 1191-1227, 2022
5 2022 Redatuming physical systems using symmetric autoencoders P Bharadwaj, M Li, L Demanet
Physical Review Research 4 (2), 023118, 2022
5 2022 Sensor dynamics in high dimensional phase spaces via nonlinear transformations: Application to helicopter loads monitoring JJ Valdes, C Cheung, M Li
2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 2014
5 2014 Towards conservative helicopter loads prediction using computational intelligence techniques JJ Valdes, C Cheung, M Li
The 2012 International Joint Conference on Neural Networks (IJCNN), 2012
5 2012 Accurate and robust deep learning framework for solving wave-based inverse problems in the super-resolution regime M Li, L Demanet, L Zepeda-Núñez
arXiv preprint arXiv:2106.01143, 2021
4 2021 Use of evolutionary computation techniques for exploration and prediction of helicopter loads C Cheung, JJ Valdes, M Li
2012 IEEE Congress on Evolutionary Computation (CEC), 2012
4 2012 Subsurface uncertainty quantification with deep geologic priors: A variational Bayesian framework A Tewari, B Wheelock, J Clark, D Foster, M Li, Y Marzouk
Second International Meeting for Applied Geoscience & Energy, 1745-1749, 2022
3 2022 An approach to fatigue damage estimation of helicopter rotating components using computational intelligence techniques C Cheung, B Rocha, JJ Valdes, A Stefani, M Li
69th American Helicopter Society International Annual Forum 2013 2, 2013
2 2013 Principal Feature Detection via -Sobolev Inequalities MTC Li, Y Marzouk, O Zahm
arXiv preprint arXiv:2305.06172, 2023
1 2023 Applications of Deep Learning to Scientific Inverse Problems MTC Li
Massachusetts Institute of Technology, 2021
2021 SymAE: redatuming timelapse data to create virtual baseline sources in the monitoring medium P Bharadwaj, M Li, L Demanet
AGU Fall Meeting Abstracts 2020, S064-0013, 2020
2020 The Anchored Separated Representation for High Dimensional Problems MTC Li
University of Toronto, 2015
2015 SymAE: An autoencoder with embedded physical symmetries for passive time-lapse monitoring MTC Li, P Bharadwaj, L Demanet
2023 Joint Mathematics Meetings (JMM 2023), 0
Load Monitoring of Aerospace Structures utilizing Micro-Electro Mechanical Systems (MEMS) for Static and Quasi-Static Loading Conditions M Martinez, B Rocha, M Li, G Shi, A Beltempo, R Rutledge, ...