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Peer-Reviewed Journals
Nabi, M., Senyurek, V., Lei, F., Kurum, M., & Gurbuz, A. (2023). Quasi-Global Assessment of Deep Learning-Based CYGNSS Soil Moisture Retrieval. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE. 16, 5629-5644. DOI:10.1109/JSTARS.2023.3287591. [Abstract] [Document Site]

Peer-Reviewed Conference Abstracts
Kikuta, R., Carruth, D. W., Burch V, R. F., Ball, J. E., & Kageyama, I. (2023). Risk Assessment and Observation of Driver with Pedestrian Using Instanteneous Heart Rate and HRV. AHFE 2023 International Conference proceeding. San Francisco Marriott Marquis, San Francisco, California, USA: Applied Human Factors and Ergonomics (AHFE). DOI:10.54941/ahfe1003827. [Abstract] [Document Site]

Peer-Reviewed Conference Papers
Chen, J., Gugssa, M., Yee, J., Goodin, C., & RamDas, A. (2023). Framework for Digital Twin Creation in Off-road Environments from LiDAR Scans. Proc. SPIE 12529, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications. Orlando, FL. DOI:10.1117/12.2663632. [Document Site]

Yu, J., Chen, J., Dabbiru, L., & Goodin, C. (2023). Analysis of LiDAR Configurations on Off-road Semantic Segmentation Performance. Proc. SPIE 12540, Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure. Orlando, FL. DOI:10.1117/12.2663098. [Document Site]

Kurum, M., Farhad, M., Senyurek, V., & Gurbuz, A. (2023). Enabling Subfield Scale Soil Moisture Mapping in near Real-time by Recycling L-band GNSS Signals from Drones. EGU General Assembly 2023. EGU23-10991. DOI:10.5194/egusphere-egu23-10991. [Document Site]