Search Results
, R. M. , V. Krasnopolsky , J.-H. G. M. Alves , and S. G. Penny , 2019 : Nonlinear wave ensemble averaging in the Gulf of Mexico using neural network . J. Atmos. Oceanic Technol. , 36 , 113 – 127 , https://doi.org/10.1175/JTECH-D-18-0099.1 . 10.1175/JTECH-D-18-0099.1 Chang , B. , L. Meng , E. Haber , F. Tung , and D. Begert , 2018 : Multi-level residual networks from dynamical systems view . arXiv, 14 pp., https://arxiv.org/abs/1710.10348 . Chen , C.-C. , A
, R. M. , V. Krasnopolsky , J.-H. G. M. Alves , and S. G. Penny , 2019 : Nonlinear wave ensemble averaging in the Gulf of Mexico using neural network . J. Atmos. Oceanic Technol. , 36 , 113 – 127 , https://doi.org/10.1175/JTECH-D-18-0099.1 . 10.1175/JTECH-D-18-0099.1 Chang , B. , L. Meng , E. Haber , F. Tung , and D. Begert , 2018 : Multi-level residual networks from dynamical systems view . arXiv, 14 pp., https://arxiv.org/abs/1710.10348 . Chen , C.-C. , A
. Bevilacqua , 2018 : Computer vision and deep learning techniques for pedestrian detection and tracking: A survey . Neurocomputing , 300 , 17 – 33 , https://doi.org/10.1016/j.neucom.2018.01.092 . 10.1016/j.neucom.2018.01.092 Campos , R. M. , V. Krasnopolsky , J.-H. G. M. Alves , and S. G. Penny , 2019 : Nonlinear wave ensemble averaging in the Gulf of Mexico using neural network . J. Atmos. Oceanic Technol. , 36 , 113 – 127 , https://doi.org/10.1175/JTECH-D-18-0099.1 . 10.1175/JTECH
. Bevilacqua , 2018 : Computer vision and deep learning techniques for pedestrian detection and tracking: A survey . Neurocomputing , 300 , 17 – 33 , https://doi.org/10.1016/j.neucom.2018.01.092 . 10.1016/j.neucom.2018.01.092 Campos , R. M. , V. Krasnopolsky , J.-H. G. M. Alves , and S. G. Penny , 2019 : Nonlinear wave ensemble averaging in the Gulf of Mexico using neural network . J. Atmos. Oceanic Technol. , 36 , 113 – 127 , https://doi.org/10.1175/JTECH-D-18-0099.1 . 10.1175/JTECH