North Atlantic Right Whales Up-call Detection Using Multimodel Deep Learning. - Ali K. Ibrahim; Hanqi Zhuang; Laurent M. Chérubin; Nurgun Erdol; Gregory O. Corry-Crowe; Ali Muhamed Ali (CoRR, 2020)

Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting. - Yu Huang 017; Yufei Tang; Hanqi Zhuang; James H. VanZwieten; Laurent M. Chérubin (CoRR, 2020)

Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems. - Yu Huang 017; Yufei Tang; Xingquan Zhu 001; Min Shi 001; Ali Muhamed Ali; Hanqi Zhuang; Laurent M. Chérubin (CoRR, 2021)

ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting. - Yu Huang 017; James Li; Min Shi 001; Hanqi Zhuang; Xingquan Zhu 001; Laurent M. Chérubin; James H. VanZwieten; Yufei Tang (CoRR, 2021)

Physics-Informed Tensor-Train ConvLSTM for Volumetric Velocity Forecasting of the Loop Current. - Yu Huang 017; Yufei Tang; Hanqi Zhuang; James H. VanZwieten; Laurent M. Chérubin (Frontiers Artif. Intell., 2021)

Classifying Goliath Grouper (Epinephelus itajara) Behaviors from a Novel, Multi-Sensor Tag. - Lauran R. Brewster; Ali K. Ibrahim; Breanna C. DeGroot; Thomas J. Ostendorf; Hanqi Zhuang; Laurent M. Chérubin; Matthew J. Ajemian (Sensors, 2021)

Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems. - Yu Huang 017; Yufei Tang; Xingquan Zhu 001; Hanqi Zhuang; Laurent M. Chérubin (IEEE Access, 2022)

Deep learning prediction of two-dimensional ocean dynamics with wavelet-compressed data. - Ali Muhamed Ali; Hanqi Zhuang; Ali K. Ibrahim; Justin L. Wang; Laurent M. Chérubin (Frontiers Artif. Intell., 2022)