| Remote sensing approach to detect burn severity risk zones in Palo Verde National Park, Costa Rica PF Rozario, BD Madurapperuma, Y Wang Remote Sensing 10 (9), 1427, 2018 | 40 | 2018 |
| Transition modeling of land-use dynamics in the Pipestem Creek, North Dakota, USA PF Rozario, P Oduor, L Kotchman, M Kangas Journal of Geoscience and Environment Protection 5 (03), 182, 2017 | 27 | 2017 |
| Deep learning optimization in remote sensing image segmentation using dilated convolutions and ShuffleNet R Gomes, P Rozario, N Adhikari 2021 IEEE International Conference on Electro Information Technology (EIT …, 2021 | 24 | 2021 |
| A comprehensive review of machine learning used to combat COVID-19 R Gomes, C Kamrowski, J Langlois, P Rozario, I Dircks, K Grottodden, ... Diagnostics 12 (8), 1853, 2022 | 20 | 2022 |
| Land-use and land-cover change detection in Pipestem Creek watershed, North Dakota B Madurapperuma, P Rozario, P Oduor, L Kotchman International Journal of GEOMATICS and GEOSCIENCES 5 (3), 416-426, 2015 | 17 | 2015 |
| Quantifying spatiotemporal change in landuse and land cover and accessing water quality: A case study of Missouri watershed james sub-region, north Dakota PF Rozario, P Oduor, L Kotchman, M Kangas Journal of Geographic Information System 8 (06), 663, 2016 | 15 | 2016 |
| Uncertainty analysis of spatial autocorrelation of land-use and land-cover data within pipestem creek in north dakota PF Rozario, PG Oduor, L Kotchman, M Kangas Journal of Geoscience and Environment Protection 5 (8), 71-88, 2017 | 6 | 2017 |
| Comparison of data mining algorithms in remote sensing using Lidar data fusion and feature selection P Rozario, R Gomes 2021 IEEE international conference on Electro Information Technology (EIT …, 2021 | 4 | 2021 |
| A Neural-Network-Based Landscape Search Engine: LSE Wisconsin M Haffner, M DeWitte, PF Rozario, GA Ovando-Montejo Applied Sciences 13 (16), 9264, 2023 | 1 | 2023 |
| Deep Learning Patch-Based Approach for Hyperspectral Image Classification PF Rozario, E Ruehmann, T Pham, T Sun, J Jensen, H Jia, Z Yu, ... 2023 IEEE International Conference on Electro Information Technology (eIT …, 2023 | 1 | 2023 |
| Optimizing Mobile Vision Transformers for Land Cover Classification P Rozario, R Gadgil, R Gomes, J Lee, P Keller, G Sipos, G McDonnell, ... Preprints, 2023 | | 2023 |
| Low-Altitude, High-Resolution Multispectral and Thermal Remote Sensing for crop monitoring M Rodgers, R. A., Moll, N., Rozario P. F., and Goettl 30th Annual Celebration of Research and Creative Activity (CERCA …, 2022 | | 2022 |
| Comparison of Rolling Shutter Effects on Photogrametric Accuracy using UAV Platforms P Galarza, PF Rozario, M Goettl AAAG Annual Conference 2021, 2021 | | 2021 |
| Optimizing Deep Learning Architectures for Remote Sensing Image Analysis M Dewitte, PF Rozario, P Devy Mohan, R Gomes AAAG Annual Conference 2021, 2021 | | 2021 |
| Optimizing Deep Learning Architecture for Remote Sensing Image Analysis PD Mohan, M DeWitte, PF Rozario, R Gomes | | 2021 |
| Fossilpedia™: Geospatial Data Curation and Mapping of Fossils from the Hell Creek Formation in South Dakota TJ Herbert, J Sargent, S Wagner, PD Ihinger, PF Rozario | | 2021 |
| Geospatial modelling of human-induced wetland fire of semi-fossorial turtles in Palo Verde, Costa Rica PF Rozario, B Madurapperuma, Y Wang 2018 AAG Annual Meeting, 2018 | | 2018 |
| Quasi-Empirical and Spatio-Temporal Vulnerability Modeling of Environmental Risks Posed to a Watershed PF Rozario North Dakota State University, 2017 | | 2017 |
| Change Detection in Landuse and Land cover Using Remote Sensing - A Case Study of Missouri Watershed James Sub-region, North Dakota PF Rozario, PG Oduor, LA Kotchman ND-SD 2011 Joint EPSCoR Conference, North Dakota State University, 2011 | | 2011 |
| Assessing Forest Cover Dynamics for Missouri Watershed Region: Ramifications on Watershed Water Quality. PF Rozario, PG Oduor, L Kotchman NDSU Graduate Research and Arts Forum session, North Dakota State University, 2011 | | 2011 |
Rahul GomesUniversity of Wisconsin-Eau Claire在 uwec.edu 的电子邮件经过验证
