Articoli con mandati relativi all'accesso pubblico - Chinmay KulkarniUlteriori informazioni
Non disponibile pubblicamente: 1
Three-dimensional time-optimal path planning in the ocean
CS Kulkarni, PFJ Lermusiaux
Ocean Modelling 152, 101644, 2020
Mandati: US National Science Foundation, US Department of Defense
Disponibili pubblicamente: 14
A future for intelligent autonomous ocean observing systems
PFJ Lermusiaux, DN Subramani, J Lin, CS Kulkarni, A Gupta, A Dutt, ...
Mandati: US Department of Defense, US National Oceanic and Atmospheric Administration
Extent of impact of deep-sea nodule mining midwater plumes is influenced by sediment loading, turbulence and thresholds
C Muñoz-Royo, T Peacock, MH Alford, JA Smith, A Le Boyer, CS Kulkarni, ...
Communications Earth & Environment 2 (1), 148, 2021
Mandati: Banking Foundation "la Caixa"
Optimal planning and sampling predictions for autonomous and Lagrangian platforms and sensors in the northern Arabian Sea
PFJ Lermusiaux, PJ Haley Jr, S Jana, A Gupta, CS Kulkarni, C Mirabito, ...
Oceanography 30 (2), 172-185, 2017
Mandati: US Department of Defense, US National Oceanic and Atmospheric Administration
Time-optimal path planning: Real-time sea exercises
DN Subramani, PFJ Lermusiaux, PJ Haley, C Mirabito, S Jana, ...
OCEANS 2017-Aberdeen, 1-10, 2017
Mandati: US Department of Defense
Real-time sediment plume modeling in the Southern California Bight
CS Kulkarni, PJ Haley, PFJ Lermusiaux, A Dutt, A Gupta, C Mirabito, ...
OCEANS 2018 MTS/IEEE Charleston, 1-10, 2018
Mandati: US Department of Defense, US National Aeronautics and Space Administration …
Plastic pollution in the coastal oceans: Characterization and modeling
PFJ Lermusiaux, M Doshi, CS Kulkarni, A Gupta, PJ Haley, C Mirabito, ...
OCEANS 2019 MTS/IEEE SEATTLE, 1-10, 2019
Mandati: US National Science Foundation, US Department of Defense
Data-driven learning and modeling of AUV operational characteristics for optimal path planning
JR Edwards, J Smith, A Girard, D Wickman, PFJ Lermusiaux, ...
OCEANS 2017-Aberdeen, 1-5, 2017
Mandati: US Department of Defense
Advection without compounding errors through flow map composition
CS Kulkarni, PFJ Lermusiaux
Journal of Computational Physics 398, 108859, 2019
Mandati: US National Science Foundation, US Department of Defense, US National …
Environmental ocean and plume modeling for deep sea mining in the Bismarck Sea
J Coulin, PJ Haley, S Jana, CS Kulkarni, PFJ Lermusiaux, T Peacock
Oceans 2017-Anchorage, 1-10, 2017
Mandati: US Department of Defense, US National Oceanic and Atmospheric Administration
Seavizkit: Interactive maps for ocean visualization
WH Ali, MH Mirhi, A Gupta, CS Kulkarni, C Foucart, MM Doshi, ...
OCEANS 2019 MTS/IEEE SEATTLE, 1-10, 2019
Mandati: US National Science Foundation, US Department of Defense, US National …
Sparse regression and adaptive feature generation for the discovery of dynamical systems
CS Kulkarni, A Gupta, PFJ Lermusiaux
Dynamic Data Driven Applications Systems: Third International Conference …, 2020
Mandati: US Department of Defense
Clustering of massive ensemble of vehicle trajectories in strong, dynamic and uncertain ocean flows
A Dutt, DN Subramani, CS Kulkarni, PFJ Lermusiaux
OCEANS 2018 MTS/IEEE Charleston, 1-7, 2018
Mandati: US Department of Defense
Time-optimal multi-waypoint mission planning in dynamic environments
DL Ferris, DN Subramani, CS Kulkarni, PJ Haley, PFJ Lermusiaux
OCEANS 2018 MTS/IEEE Charleston, 1-8, 2018
Mandati: US Department of Defense
Flow maps and coherent sets for characterizing residence times and connectivity in Lagoons and coral reefs: The case of the Red Sea
M Doshi, CS Kulkarni, WH Ali, A Gupta, PFJ Lermusiaux, P Zhan, I Hoteit, ...
Oceans 2019 Mts/Ieee Seattle, 1-8, 2019
Mandati: US National Science Foundation, US Department of Defense
Le informazioni sulla pubblicazione e sul finanziamento vengono stabilite automaticamente da un software