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Deep learning based framework for automatic damage detection in aircraft engine borescope inspection. Melbourne: 22nd International Conference on Composite Materials. Damage progression of notched and unnotched composite laminates under picture-frame shear loading. Paper Published in Conference Proceedings Deep temporal convolutional networks for short-term traffic flow forecasting. Sensors and Actuators A: Physical, 292, 30-38.
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Where thermomesh meets thermonet: A machine learning based sensor for heat source localization and peak temperature estimation. A survey of techniques for mobile service encrypted traffic classification using deep learning. Print metallic nanoparticles on a fiber probe for 1064-nm surface-enhanced Raman scattering. Schottky-Barrier photodiode internal quantum efficiency dependence on nickel silicide film thickness. Eigenmode hybridization enables lattice-induced transparency in symmetric terahertz metasurfaces for slow light applications. EURASIP Journal on Image and Video Processing, 2019(1).īurrow, J. Digital spotlighting filtering optimization for SAR imaging. Retrieved from Journal Articleīalster, E.
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San Francisco: American Geophysical Union (AGU). Mapping Himalayan and Karakoram Glaciers using deep learning approach. National Science Foundation, Federal, $317,158.00. (2018 - 2021), Non-destructive laser-induced transfer of nanostructures to flexible substrates with Sub-5 nanometer resolution. National Science Foundation, Federal, $7,703.00. (2020 - 2021), NSF research experiences for undergraduates. (2019 - 2021), Seamless cross-technology communication platform for internet of things applications. (2020 - 2022), Machine learning accelerated process development for scalable manufacturing of silica-based glass encapsulated phase changes materials using flow mold casting. National Science Foundation, Federal, $439,998.00. (2018 - 2021), SHF: Small neuromorphic architectures for on-line learning. (2017 - 2020), Neuromorphic architectures for online learning. (2017 - 2020), Extreme temperature LiS batteries. E lectro-optical combined hyperspectral imaging, infrared search & track, and long-range imaging R&D (EO-CHIL), task order 0002 – standoff high-resolution imaging (SHRI). National Science Foundation, Federal, $198,000.00. (2017 - 2020), Collaborative research: Nanopatterning and temporal control of phase-change materials for reconfigurable photonics. Autonomous unknown-application filtering and labeling for DL-based traffic classifier update. EV charging behavior analysis using hybrid intelligence for 5G smart grid. Additive opto-thermo-mechanical nano-printing and nano-repairing under ambient conditions. Ye, F., Seamless Cross-Technology Communication Platform for Internet of Things Applications, DoE/SBIR through PRIXARC LLC, $399,999.00, Funded. Ye, F., Machine Learning Accelerated Process Development for Scalable Manufacturing of Silica-based Glass Encapsulated Phase Changes Materials Using Flow Mold Casting, Department of Energy, Federal, $150,000.00, Funded. (Co-Principal), Grant, SHF:Small:Neuromorphic Architectures for On-line Learning, National Science Foundation, Federal, $439,998.00, Funded. (Co-Principal), Grant, Statistical mechanics modeling of critical phenomena in phytoplankton living in a cold environment, NSF POLS Program, Federal, $200,000.00, Funded. (Principal), Sponsored Research, Electro-optical combined hyperspectral imaging, infrared search & track, and long-range imaging R&D (EO-CHIL), task order 0002 – standoff high-resolution imaging (SHRI), Leidos, Inc., Beavercreek, Ohio (from AFRL), Local, $777,939.00, Funded. Deep-learning models for debris-covered glacier mapping. International Journal of Computer Vision (IJCV), 129, 1596-1615. Enhanced 3D human pose estimation from videos by using attention-based neural network with dilated convolutions. Liu, R., Shen, J., Wang, H., Chen, C., Cheung, S.-c., & Asari, V. New Orleans: American Geophysical Union (AGU). Machine / Deep learning-based glacier surface segmentation of ISRO-ASAR Datasets. K., Kargel, J., Osmanoglu, B., Vijay, S., Bahuguna, I.
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