GulfSCEI Publications

Publications

  • Panta, M., Hoque, T., Abdelguerfi, M., Flanagin, M., IterLUNet: Deep Learning Architecture for Pixel-Wise Crack Detection in Levee Systems, IEEE ACCESS, 2023, doi 10.1109/ACCESS.2023.3241877.
  • Pokhrel, P., Ioup, E., Hoque, T., Abdelguerfi, M., Simeonov, J., A Transformer- Based Regression Scheme for Forecasting Significant Wave Heights in Oceans, IEEE Journal of Oceanic Engineering, vol. 47, no. 4, pp. 1010-1023, Oct. 2022, doi: 10.1109/JOE.2022.3173454
  • Murphy, D., Ioup, E., Hoque, T., Abdelguerfi, M., Multi-Channel Residual Learning for Marine Mammal Classification, IEEE ACCESS, 2022, doi: 10.1109/ACCESS.2022.3220735.
  • Holmberg, E, Ioup, E., Abdelguerfi, M., A Stochastic Geo-Spatiotemporal Bipartite Network to Optimize GCOOS Sensor Placement Strategies, Second Workshop on Knowledge Graphs and Bid Data in Conjunction with 2022 IEEE Conference on Big Data, On Line Workshop, December 2022. [Full Paper]
  • Kuchi, A., Panta, M., Hoque, T., Abdelguerfi, M., Flanagin, M., A Machine Learning Approach to Detecting Cracks in Levees and Floodwalls, Remote Sensing Applications: Society and Environment, Elsevier, 2021.
  • Pokhrel, P., Ioup, E., Hoque, M., Abdelguerfi, M., Simenov, J., Forecasting Rogue Waves in Oceanic Waters, IEEE International Conference on Machine Learning and Applications (ICMLA), Seattle, Washing, December 2020.
  • Rajendra, R., Michael, C., Ioup, E., Hoque, T., Abdelguerfi, M., Online Feature Selection for Semantic Segmentation, The 9th International Conference on Data Analytics, Nice - France, October 2020.
  • Sharma, A., Hoque, T., Ioup, E., Abdelguerfi, M., Wind Forecasting from Airplane Data, 2020 International IEEE Geoscience and Remote Sensing Conference, Hawaii, July 2020.
  • Kuchi, A., Hoque, T., Abdelguerfi, M., Flanagin, M, Crack Detection from Satellite or Drone Imagery Using Machine Learning Approaches, 2020 International IEEE Geoscience and Remote Sensing Conference, Hawaii, July 2020.
  • Maryan, C., Hoque, T., Michael, C., Ioup, E., Abdelguerfi, M., "Machine Learning Applications in Detecting Rip Channels from Images", Applied Soft Computing, Elsevier, 2019.
  • Kuchi, A., Hoque, T., Flanagin, M., Abdelguerfi, M., Machine Learning Applications in Detecting Sand Boils from Images," Applied Soft Computing, Elsevier, 2019.
  • Frey, D.J., A. Mishra, M.D. Houque, M. Abdelguerfi and T.M. Soniat. 2018. A Machine Learning Approach to Determine Oyster Vessel Behavior. Mach. Learn. Knowl. Extr. 1, 4; doi:10.3390/MAKE 101000.
  • Soniat, T.M. (Ed.) Synopsis of the Fifth Annual Louisiana Oyster Stock Assessment Workshop. University of New Orleans, New Orleans, LA. 28 pp.
  • Ioup, E., Z. Yang, B. Barre, J. Sample, K. Shaw & M. Abdelguerfi. 2015. Annotated uncertainty of geospatial and environmental data. IEEE Internet Computing 19(1):18-27.
  • Soniat, T.M. (Ed.) 2015. Synopsis of the Fourth Annual Louisiana Oyster Stock Assessment Workshop. University of New Orleans, New Orleans, LA. 23 pp.
  • Soniat, T. M., N. Cooper, E. R. Powell, J. M. Klinck, M. Abdelguerfi, S. Tu, R. Mann & P. D. Banks., 2014. “Estimating sustainable harvests of eastern oysters, Crassostrea virginica.” J. Shellfish Res. 33:381-394.
  • Soniat, T.M. (Ed.) 2014. Synopsis of the Third Annual Louisiana Oyster Stock Assessment Workshop. University of New Orleans, New Orleans, LA. 23 pp.
  • Soniat, T. M., C. P. Conzelmann, J. D. Byrd, D. P. Roszell, J. L. Bridevaux, K. J. Suir & S. B. Colley. 2013. Predicting the effects of proposed Mississippi River diversions on oyster habitat quality: application of an oyster habitat suitability index model. J. Shellfish Res. 32:629-638.
  • Soniat, T.M. (Ed.) 2103. Synopsis of the Second Annual Louisiana Oyster Stock Assessment Workshop. University of New Orleans, New Orleans, LA. 24 pp.
  • Soniat, T. M., J. M. Klinck, E. N. Powell, N. Cooper, M. Abdelguerfi, E. E. Hofmann, J. Dahal, S. Tu, J. Finigan, B. S. Eberline, J. F. La Peyre, M. K. La Peyre & F. Quaddoura., 2012. “A shell-neutral modeling approach yields sustainable oyster harvest estimates: a retrospective analysis of the Louisiana state primary seed grounds.” J. Shellfish Res. 31:1103-1112.
  • Soniat, T.M (Ed.) 2012. Synopsis of the First Annual Louisiana Oyster Stock Assessment Workshop. University of New Orleans, New Orleans, LA. 10 pp.