Artikkelit, joihin on yleisen käytön mandaatti - Jiang LiLisätietoja
Ei saatavilla missään: 1
Experimental Validation of Reconstructed Microstructure via Deep Learning in Discontinuous Fiber Platelet Composite
MN Saquib, R Larson, S Sattar, J Li, S Kravchenko, O Kravchenko
Journal of Applied Mechanics, 1-61, 2023
Mandaatit: US National Science Foundation
Jäävätyt: 4
Hyperparameters Effect in Deep Convolutional Neural Network Model on Prediction of Fiber Orientation Distribution in Prepreg Platelet Molded Composites
RA Larson, R Hoque, V Jamora, J Li, S Kravchenko, O Kravchenko
AIAA SCITECH 2022 Forum, 0103, 2022
Mandaatit: US National Science Foundation
Vastuussa olevat kirjailijat: O Kravchenko
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
CV Dolph, C Ippolito, LJ Glaab, MJ Logan, LD Tran, B Danette Allen, ...
Journal of Aerospace Information Systems 20 (8), 489-507, 2023
Mandaatit: US National Aeronautics and Space Administration
Vastuussa olevat kirjailijat: CV Dolph
Most and Least Retrievable Images in Visual-Language Query Systems
L Zhu, R Ning, J Li, C Xin, H Wu
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
Mandaatit: US National Science Foundation, US Department of Defense
Vastuussa olevat kirjailijat: H Wu
High Performance Remote Radioactive Material Identification of Mixtures
B Ayhan, C Kwan, KA Islam, A Stavola, S Hendry, J Li
IEEE Transactions on Nuclear Science, 2022
Mandaatit: US Department of Defense
Vastuussa olevat kirjailijat: C Kwan
Saatavilla jossain: 59
Deep learning based imaging data completion for improved brain disease diagnosis
R Li, W Zhang, HI Suk, L Wang, J Li, D Shen, S Ji
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014, 305-312, 2014
Mandaatit: US National Institutes of Health
A Robust Deep Model for Improved Classification of AD/MCI Patients
F Li, L Tran, KH Thung, S Ji, D Shen, J Li
IEEE Journal of Biomedical and Health Informatics, 19 (5), 1610-1616, 2015
Mandaatit: US National Institutes of Health
A deep transfer learning approach for improved post-traumatic stress disorder diagnosis
D Banerjee, K Islam, K Xue, J Li
Knowledge and Information Systems 1 (1), 1-32, 2019
Mandaatit: US Department of Defense
Achieving 100x Acceleration for N-1 Contingency Screening With Uncertain Scenarios Using Deep Convolutional Neural Network
Y Du, F Li, J Li, T Zheng
IEEE Transactions on Power Systems 34 (4), 3303-3305, 2019
Mandaatit: US National Science Foundation
Vegetation Detection Using Deep Learning and Conventional Methods
B Ayhan, C Kwan, B Budavari, L Kwan, Y Lu, D Perez, J Li, D Skarlatos, ...
Remote Sensing 12 (15), 2502, 2020
Mandaatit: US Department of Energy, US Department of Defense
A vision-based automatic safe landing-site detection system
YF Shen, ZU Rahman, D Krusienski, J Li
IEEE Transactions on Aerospace and Electronic Systems 49 (1), 294-311, 2013
Mandaatit: US National Institutes of Health
Invisible Poison: A Blackbox Clean Label Backdoor Attack to Deep Neural Networks
R Ning, J Li, C Xin, H Wu
IEEE INFOCOM, 2021
Mandaatit: US National Science Foundation, US Department of Defense
An Accurate Vegetation and Non-Vegetation Differentiation Approach Based on Land Cover Classification
C Kwan, D Gribben, B Ayhan, J Li, S Bernabe, A Plaza
Remote Sensing 12 (23), 3880, 2020
Mandaatit: US Department of Energy, US Department of Defense
Deep Learning for Land Cover Classification Using Only a Few Bands
C Kwan, B Ayhan, B Budavari, Y Lu, D Perez, J Li, S Bernabe, A Plaza
Remote Sensing 12 (12), 2000, 2020
Mandaatit: US Department of Energy, US Department of Defense
Performance across WorldView-2 and RapidEye for reproducible seagrass mapping
MM Coffer, BA Schaeffer, RC Zimmerman, V Hill, J Li, KA Islam, ...
Remote Sensing of Environment 250, 112036, 2020
Mandaatit: US National Aeronautics and Space Administration
A manifold learning approach to urban land cover classification with optical and radar data
H Zhang, J Li, T Wang, H Lin, Z Zheng, Y Li, Y Lu
Landscape and Urban Planning 172, 11-24, 2018
Mandaatit: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Flood Detection Using Multi-Modal and Multi-Temporal Images: A Comparative Study
KA Islam, MS Uddin, C Kwan, J Li
Remote Sensing 12 (15), 2455, 2020
Mandaatit: US Department of Defense
Assessment of Spatiotemporal Fusion Algorithms for Planet and Worldview Images
C Kwan, X Zhu, F Gao, B Chou, D Perez, J Li, Y Shen, K Koperski, ...
Sensors 18 (4), 1051, 2018
Mandaatit: US Department of Defense
DeepMag: Sniffing Mobile Apps in Magnetic Field through Deep Convolutional Neural Networks
R Ning, C Wang, CS Xin, J Li, H Wu
IEEE Conference on Pervasive Computing and Communication (PerCom), Mar 19-23 …, 2018
Mandaatit: US National Science Foundation
Fast Cascading Outage Screening Based on Deep Convolutional Neural Network and Depth-First Search
Y Du, F Li, T Zheng, J Li
IEEE Transactions on Power Systems 35 (4), 2704-2715, 2020
Mandaatit: US National Science Foundation, UK Natural Environment Research Council
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