Underdevelopment – Beta Version
Displaying 261 - 270 of 343
Type Year Title Authors Published In/At DOI or Online Location NGI Project Title NGI File # In NOAA Institutional Repository
Other Type Presentation 2023 Patterns of Microbial and Plankton Diversity from eDNA Collected on GOMECC-4 Thompson, L. R., S. R. Anderson, L. Barbero NOAA Ocean Acidification Community Meeting Assessing Ecosystem Responses of Gulf of Mexico Communities to OA using Environmental DNA (eDNA-GOMECC-4) 21-NGI3-132
Journal Article 2022 Class-Aware Fish Species Recognition Using Deep Learning for an Imbalanced Dataset Alaba, S.Y.,Nabi, M.M.,Shah, C., Prior, J., Campbell, M., Wallace, F, Ball, J.,Moorhead, R. MDPI Sensors https://doi.org/10.3390/s22218268 Develop Innovative Sampling Technologies 20-NGI3-126 / 21-NGI4-13 / 22-NGI4-25
Journal Article 2023 Estimating precision and accuracy of automated video post-processing: A step towards implementation of AI/ML for optics-based fish sampling Prior, J.,Campbell, M.,Dawkins, M., Mickle, P. F.,Moorhead, R, Alaba, S.Y.,Shah, C., Salisbury, J. R.,Rademacher, K. R., Felts, A. P., Wallace, F. Frontiers in Marine Science https://doi.org/10.3389/fmars.2023.1150651 Develop Innovative Sampling Technologies 20-NGI3-126 / 21-NGI4-13 / 22-NGI4-25
Conference Presentation 2023 MI-AFR: multiple instance active learning-based approach for fish species recognition in underwater environments Shah, C., Alaba, S.Y.,Nabi, M.M., Caillouet, R., Prior, J., Campbell, M., Wallace, F.,Ball, J.,Moorhead, R. SPIE Ocean Sensing and Monitoring XV https://doi.org/10.1117/12.2663404 Develop Innovative Sampling Technologies 20-NGI3-126 / 21-NGI4-13 / 22-NGI4-25
Conference Presentation 2023 An enhanced YOLOv5 model for fish species recognition from underwater environments Shah, C., Alaba, S.Y.,Nabi, M.M., Prior, J., Campbell, M., Wallace, F.,Ball, J.,Moorhead, R. SPIE Ocean Sensing and Monitoring XV https://doi.org/10.1117/12.2663408 Developing Innovative Sampling Technologies 20-NGI3-126 / 21-NGI4-13 / 22-NGI4-25
Conference Presentation 2023 Semi-supervised learning for fish species recognition Alaba, S.Y.,Shah, C.,Nabi, M.M., Ball, J.,Moorhead, R, Han, D., Prior, J., Campbell, M., Wallace, F. SPIE Ocean Sensing and Monitoring XV https://doi.org/10.1117/12.2663422 Developing Innovative Sampling Technologies 20-NGI3-126 / 21-NGI4-13 / 22-NGI4-25
Journal Article 2023 Ocean Mesoscale and Frontal-Scale Ocean–Atmosphere Interactions and Influence on Large-Scale Climate: A Review Seo, H., O’Neill, L.W., Bourassa, M.A., Czaja, A., Drushka, K., Edson, J.B., Fox-Kemper, B., Frenger, I., Gille, S.T., Kirtman, B.P. and Minobe, S. Journal of Climate https://doi.org/10.1175/JCLI-D-21-0982.1 Climate Variability in Ocean Surface Turbulent Fluxes 22-NGI4-26 / 21-NGI4-04
Journal Publication 2023 Predicting Indian Ocean Cyclone Parameters Using an Artificial Intelligence Technique Chand, C. P., M. M. Ali, B. Himasri, M. A. Bourassa, and Y. Zheng Atmosphere https://doi.org/10.3390/atmos13071157 Climate Variability in Ocean Surface Turbulent Fluxes 22-NGI4-26 / 21-NGI4-04
Journal Article 2022 Analysis of the 10-20-day Intraseasonal Oscillation in the Indian Ocean using Surface Winds Roman-Stork, H, and M. A. Bourassa Remote Sensing https://doi.org/10.3390/rs14143419 Climate Variability in Ocean Surface Turbulent Fluxes 22-NGI4-26 / 21-NGI4-04
Book/Book Chapter 2023 Oceanographic buoys: Providing ocean data to assess the accuracy of variables derived from satellite measurements Perez, R. C., G. R. Foltz, R. Lumpkin, J. Wei, K. Voss, M. Ondrusek, M. Wang, and M. A. Bourassa Elsevier https://doi.org/10.1016/B978-0-12-823953-7.00022-8 Climate Variability in Ocean Surface Turbulent Fluxes 22-NGI4-26 / 21-NGI4-04