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Estimating Forest Structure from UAV-Mounted LiDAR Point Cloud Using Machine Learning
Estimating Forest Structure from UAV-Mounted LiDAR Point Cloud Using Machine Learning
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Estimating Forest Structure from UAV-Mounted LiDAR Point Cloud Using Machine Learning

Neuville, Romain ; Bates, Jordan Steven ; Jonard, François

Remote sensing (Basel, Switzerland), 2021, Vol.13 (3), p.352 [Periódico revisado por pares]

MDPI AG

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Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data
Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data
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Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data

McMurry, Julie A ; Juty, Nick ; Blomberg, Niklas ; Burdett, Tony ; Conlin, Tom ; Conte, Nathalie ; Courtot, Mélanie ; Deck, John ; Dumontier, Michel ; Fellows, Donal K ; Gonzalez-Beltran, Alejandra ; Gormanns, Philipp ; Grethe, Jeffrey ; Hastings, Janna ; Hériché, Jean-Karim ; Hermjakob, Henning ; Ison, Jon C ; Jimenez, Rafael C ; Jupp, Simon ; Kunze, John ; Laibe, Camille ; Le Novère, Nicolas ; Malone, James ; Martin, Maria Jesus ; McEntyre, Johanna R ; Morris, Chris ; Muilu, Juha ; Müller, Wolfgang ; Rocca-Serra, Philippe ; Sansone, Susanna-Assunta ; Sariyar, Murat ; Snoep, Jacky L ; Soiland-Reyes, Stian ; Stanford, Natalie J ; Swainston, Neil ; Washington, Nicole ; Williams, Alan R ; Wimalaratne, Sarala M ; Winfree, Lilly M ; Wolstencroft, Katherine ; Goble, Carole ; Mungall, Christopher J ; Haendel, Melissa A ; Parkinson, Helen

PLoS biology, 2017-06, Vol.15 (6), p.e2001414 [Periódico revisado por pares]

United States: Public Library of Science

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3
Impact of population density on Covid-19 infected and mortality rate in India
Impact of population density on Covid-19 infected and mortality rate in India
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Impact of population density on Covid-19 infected and mortality rate in India

Bhadra, Arunava ; Mukherjee, Arindam ; Sarkar, Kabita

Modeling earth systems and environment, 2021-03, Vol.7 (1), p.623-629 [Periódico revisado por pares]

Cham: Springer International Publishing

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4
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment
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The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

Haendel, Melissa A ; Chute, Christopher G ; Bennett, Tellen D ; Eichmann, David A ; Guinney, Justin ; Kibbe, Warren A ; Payne, Philip R O ; Pfaff, Emily R ; Robinson, Peter N ; Saltz, Joel H ; Spratt, Heidi ; Suver, Christine ; Wilbanks, John ; Wilcox, Adam B ; Williams, Andrew E ; Wu, Chunlei ; Blacketer, Clair ; Bradford, Robert L ; Cimino, James J ; Clark, Marshall ; Colmenares, Evan W ; Francis, Patricia A ; Gabriel, Davera ; Graves, Alexis ; Hemadri, Raju ; Hong, Stephanie S ; Hripscak, George ; Jiao, Dazhi ; Klann, Jeffrey G ; Kostka, Kristin ; Lee, Adam M ; Lehmann, Harold P ; Lingrey, Lora ; Miller, Robert T ; Morris, Michele ; Murphy, Shawn N ; Natarajan, Karthik ; Palchuk, Matvey B ; Sheikh, Usman ; Solbrig, Harold ; Visweswaran, Shyam ; Walden, Anita ; Walters, Kellie M ; Weber, Griffin M ; Zhang, Xiaohan Tanner ; Zhu, Richard L ; Amor, Benjamin ; Girvin, Andrew T ; Manna, Amin ; Qureshi, Nabeel ; Kurilla, Michael G ; Michael, Sam G ; Portilla, Lili M ; Rutter, Joni L ; Austin, Christopher P ; Gersing, Ken R

Journal of the American Medical Informatics Association : JAMIA, 2021-03, Vol.28 (3), p.427-443 [Periódico revisado por pares]

England: Oxford University Press

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admetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties
admetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties
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admetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties

Cheng, Feixiong ; Li, Weihua ; Zhou, Yadi ; Shen, Jie ; Wu, Zengrui ; Liu, Guixia ; Lee, Philip W ; Tang, Yun

Journal of chemical information and modeling, 2012-11, Vol.52 (11), p.3099-3105 [Periódico revisado por pares]

Washington, DC: American Chemical Society

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6
Combining Global and Local Measures for Structure-Based Druggability Predictions
Combining Global and Local Measures for Structure-Based Druggability Predictions
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Combining Global and Local Measures for Structure-Based Druggability Predictions

Volkamer, Andrea ; Kuhn, Daniel ; Grombacher, Thomas ; Rippmann, Friedrich ; Rarey, Matthias

Journal of chemical information and modeling, 2012-02, Vol.52 (2), p.360-372 [Periódico revisado por pares]

Washington, DC: American Chemical Society

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7
PRoNTo: Pattern Recognition for Neuroimaging Toolbox
PRoNTo: Pattern Recognition for Neuroimaging Toolbox
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PRoNTo: Pattern Recognition for Neuroimaging Toolbox

Schrouff, J. ; Rosa, M. J. ; Rondina, J. M. ; Marquand, A. F. ; Chu, C. ; Ashburner, J. ; Phillips, C. ; Richiardi, J. ; Mourão-Miranda, J.

Neuroinformatics (Totowa, N.J.), 2013-07, Vol.11 (3), p.319-337 [Periódico revisado por pares]

Boston: Springer US

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8
Innovation, foreign direct investment (FDI), and the energy–pollution–growth nexus in OECD region: a simultaneous equation modeling approach
Innovation, foreign direct investment (FDI), and the energy–pollution–growth nexus in OECD region: a simultaneous equation modeling approach
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Innovation, foreign direct investment (FDI), and the energy–pollution–growth nexus in OECD region: a simultaneous equation modeling approach

Ahmad, Manzoor ; Khattak, Shoukat Iqbal ; Khan, Anwar ; Rahman, Zia Ur

Environmental and ecological statistics, 2020-06, Vol.27 (2), p.203-232 [Periódico revisado por pares]

New York: Springer US

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9
Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model
Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model
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Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model

Barzegar, Rahim ; Aalami, Mohammad Taghi ; Adamowski, Jan

Stochastic environmental research and risk assessment, 2020-02, Vol.34 (2), p.415-433 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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10
Implications of crop model ensemble size and composition for estimates of adaptation effects and agreement of recommendations
Implications of crop model ensemble size and composition for estimates of adaptation effects and agreement of recommendations
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Implications of crop model ensemble size and composition for estimates of adaptation effects and agreement of recommendations

Rodríguez, A. ; Ruiz-Ramos, M. ; Palosuo, T. ; Carter, T.R. ; Fronzek, S. ; Lorite, I.J. ; Ferrise, R. ; Pirttioja, N. ; Bindi, M. ; Baranowski, P. ; Buis, S. ; Cammarano, D. ; Chen, Y. ; Dumont, B. ; Ewert, F. ; Gaiser, T. ; Hlavinka, P. ; Hoffmann, H. ; Höhn, J.G. ; Jurecka, F. ; Kersebaum, K.C. ; Krzyszczak, J. ; Lana, M. ; Mechiche-Alami, A. ; Minet, J. ; Montesino, M. ; Nendel, C. ; Porter, J.R. ; Ruget, F. ; Semenov, M.A. ; Steinmetz, Z. ; Stratonovitch, P. ; Supit, I. ; Tao, F. ; Trnka, M. ; de Wit, A. ; Rötter, R.P.

Agricultural and forest meteorology, 2019-01, Vol.264, p.351-362 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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