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Refinado por: Base de dados/Biblioteca: NASA Technical Reports Server remover
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Temporal Interpolation of Geostationary Satellite Imagery With Optical Flow
Temporal Interpolation of Geostationary Satellite Imagery With Optical Flow
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Temporal Interpolation of Geostationary Satellite Imagery With Optical Flow

Vandal, Thomas J. ; Nemani, Ramakrishna R.

IEEE transaction on neural networks and learning systems, 2023-07, Vol.34 (7), p.3245-3254

Ames Research Center: IEEE

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2
A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing
A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing
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A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing

Duffy, Kate ; Vandal, Thomas J. ; Wang, Weile ; Nemani, Ramakrishna R. ; Ganguly, Auroop R.

IEEE transaction on neural networks and learning systems, 2023-07, Vol.34 (7), p.3345-3356

Ames Research Center: IEEE

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3
GstLAL: A software framework for gravitational wave discovery
GstLAL: A software framework for gravitational wave discovery
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GstLAL: A software framework for gravitational wave discovery

Cannon, Kipp ; Caudill, Sarah ; Chan, Chiwai ; Cousins, Bryce ; Creighton, Jolien D.E. ; Ewing, Becca ; Fong, Heather ; Godwin, Patrick ; Hanna, Chad ; Hooper, Shaun ; Huxford, Rachael ; Magee, Ryan ; Meacher, Duncan ; Messick, Cody ; Morisaki, Soichiro ; Mukherjee, Debnandini ; Ohta, Hiroaki ; Pace, Alexander ; Privitera, Stephen ; de Ruiter, Iris ; Sachdev, Surabhi ; Singer, Leo ; Singh, Divya ; Tapia, Ron ; Tsukada, Leo ; Tsuna, Daichi ; Tsutsui, Takuya ; Ueno, Koh ; Viets, Aaron ; Wade, Leslie ; Wade, Madeline

SoftwareX, 2021-06, Vol.14, p.100680, Article 100680 [Periódico revisado por pares]

Goddard Space Flight Center: Elsevier B.V

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4
Aircraft Engine Run-to-Failure Dataset Under Real Flight Conditions for Prognostics and Diagnostics
Aircraft Engine Run-to-Failure Dataset Under Real Flight Conditions for Prognostics and Diagnostics
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Aircraft Engine Run-to-Failure Dataset Under Real Flight Conditions for Prognostics and Diagnostics

Chao, Manuel Aria ; Kulkarni, Chetan ; Goebel, Kai ; Fink, Olga

Data (Basel), 2021-01, Vol.6 (1), p.5 [Periódico revisado por pares]

Ames Research Center: MDPI

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5
Reservoir Assessment Tool 2.0: Stakeholder driven improvements to satellite remote sensing based reservoir monitoring
Reservoir Assessment Tool 2.0: Stakeholder driven improvements to satellite remote sensing based reservoir monitoring
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Reservoir Assessment Tool 2.0: Stakeholder driven improvements to satellite remote sensing based reservoir monitoring

Das, Pritam ; Hossain, Faisal ; Khan, Shahzaib ; Biswas, Nishan Kumar ; Lee, Hyongki ; Piman, Thanapon ; Meechaiya, Chinaporn ; Ghimire, Uttam ; Hosen, Kamal

Environmental modelling & software : with environment data news, 2022-11, Vol.157 (105533), p.105533, Article 105533 [Periódico revisado por pares]

Goddard Space Flight Center: Elsevier Ltd

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6
Photometric Analysis in the Kepler Science Operations Center Pipeline
Photometric Analysis in the Kepler Science Operations Center Pipeline
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Photometric Analysis in the Kepler Science Operations Center Pipeline

Twicken, Joseph D ; Clarke, Bruce D ; Bryson, Stephen T ; Tenenbaum, Peter ; Wu, Hayley ; Jenkins, Jon M ; Girouard, Forrest ; Klaus, Todd C

Proceedings of SPIE, the International Society for Optical Engineering, 2010, Vol.7740

Ames Research Center: Society of Photo-optical Instrumentation Engineers (SPIE)

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7
Building a landslide hazard indicator with machine learning and land surface models
Building a landslide hazard indicator with machine learning and land surface models
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Building a landslide hazard indicator with machine learning and land surface models

Stanley, T.A. ; Kirschbaum, D.B. ; Sobieszczyk, S. ; Jasinski, M.F. ; Borak, J.S. ; Slaughter, S.L.

Environmental modelling & software : with environment data news, 2020-07, Vol.129, p.104692, Article 104692 [Periódico revisado por pares]

Goddard Space Flight Center: Elsevier Ltd

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8
Mobile device application for monitoring cyanobacteria harmful algal blooms using Sentinel-3 satellite Ocean and Land Colour Instruments
Mobile device application for monitoring cyanobacteria harmful algal blooms using Sentinel-3 satellite Ocean and Land Colour Instruments
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Mobile device application for monitoring cyanobacteria harmful algal blooms using Sentinel-3 satellite Ocean and Land Colour Instruments

Schaeffer, Blake A. ; Bailey, Sean W. ; Conmy, Robyn N. ; Galvin, Michael ; Ignatius, Amber R. ; Johnston, John M. ; Keith, Darryl J. ; Lunetta, Ross S. ; Parmar, Rajbir ; Stumpf, Richard P. ; Urquhart, Erin A. ; Werdell, P. Jeremy ; Wolfe, Kurt

Environmental modelling & software : with environment data news, 2018-11, Vol.109, p.93-103 [Periódico revisado por pares]

Goddard Space Flight Center: Elsevier Ltd

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9
Integrated modeling of aerosol, cloud, precipitation and land processes at satellite-resolved scales
Integrated modeling of aerosol, cloud, precipitation and land processes at satellite-resolved scales
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Integrated modeling of aerosol, cloud, precipitation and land processes at satellite-resolved scales

Peters-Lidard, Christa D. ; Kemp, Eric M. ; Matsui, Toshihisa ; Santanello, Joseph A. ; Kumar, Sujay V. ; Jacob, Jossy P. ; Clune, Thomas ; Tao, Wei-Kuo ; Chin, Mian ; Hou, Arthur ; Case, Jonathan L. ; Kim, Dongchul ; Kim, Kyu-Myong ; Lau, William ; Liu, Yuqiong ; Shi, Jainn ; Starr, David ; Tan, Qian ; Tao, Zhining ; Zaitchik, Benjamin F. ; Zavodsky, Bradley ; Zhang, Sara Q. ; Zupanski, Milija

Environmental modelling & software : with environment data news, 2015-05, Vol.67, p.149-159 [Periódico revisado por pares]

Goddard Space Flight Center: Elsevier Ltd

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10
Efficient Simulation Budget Allocation for Selecting an Optimal Subset
Efficient Simulation Budget Allocation for Selecting an Optimal Subset
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Efficient Simulation Budget Allocation for Selecting an Optimal Subset

Chen, Chun-Hung ; He, Donghai ; Fu, Michael ; Lee, Loo Hay

INFORMS journal on computing, 2008-09, Vol.20 (4), p.579-595 [Periódico revisado por pares]

Ames Research Center: INFORMS

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