The role of diseases in unifying the health of global estuaries by Tallam, Krti, White, Elliott

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Application of Deep Learning for Classification of Intertidal Eelgrass from Drone-Acquired Imagery by Tallam, Krti, Nguyen, Nam, Ventura, Jonathan, Fricker, Andrew, Calhoun, Sadie, O’Leary, Jennifer, Fitzgibbons, Mauriça, Robbins, Ian, Walter, Ryan K.

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Mixing and dilution controls on marine CO2 removal using alkalinity enhancement by Khangaonkar, Tarang, Carter, Brendan R, Premathilake, Lakshitha, Yun, Su Kyong, Ni, Wenfei, Stoll, Mary Margaret, Ward, Nicholas D, Hemery, Lenaïg G, Torres Sanchez, Carolina, Subban, Chinmayee V, Ringham, Mallory C, Eisaman, Matthew D, Pelman, Todd, Tallam, Krti, Feely, Richard A

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Modeling epidemics: A primer and Numerus Model Builder implementation by Getz, Wayne M., Salter, Richard, Muellerklein, Oliver, Yoon, Hyun S., Tallam, Krti

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Deep Learning Segmentation of Satellite Imagery Identifies Aquatic Vegetation Associated with Snail Intermediate Hosts of Schistosomiasis in Senegal, Africa by Liu, Zac Yung-Chun, Chamberlin, Andrew J., Tallam, Krti, Jones, Isabel J., Lamore, Lance L., Bauer, John, Bresciani, Mariano, Wolfe, Caitlin M., Casagrandi, Renato, Mari, Lorenzo, Gatto, Marino, Diongue, Abdou Ka, Toure, Lamine, Rohr, Jason R., Riveau, Gilles, Jouanard, Nicolas, Wood, Chelsea L., Sokolow, Susanne H., Mandle, Lisa, Daily, Gretchen, Lambin, Eric F., De Leo, Giulio A.

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Identification of Snails and Schistosoma of Medical Importance via Convolutional Neural Networks: A Proof-of-Concept Application for Human Schistosomiasis by Tallam, Krti, Liu, Zac Yung-Chun, Chamberlin, Andrew J, Jones, Isabel J, Shome, Pretom, Riveau, Gilles, Ndione, Raphael A, Bandagny, Lydie, Jouanard, Nicolas, Eck, Paul Van, Ngo, Ton, Sokolow, Susanne H, De Leo, Giulio A

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Climatic, land-use and socio-economic factors can predict malaria dynamics at fine spatial scales relevant to local health actors: Evidence from rural Madagascar by Pourtois, Julie D, Tallam, Krti, Jones, Isabel, Hyde, Elizabeth, Chamberlin, Andrew J, Evans, Michelle V, Ihantamalala, Felana A, Cordier, Laura F, Razafinjato, Bénédicte R, Rakotonanahary, Rado J L, Tsirinomen'ny Aina, Andritiana, Soloniaina, Patrick, Raholiarimanana, Sahondraritera H, Razafinjato, Celestin, Bonds, Matthew H, De Leo, Giulio A, Sokolow, Susanne H, Garchitorena, Andres

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Predicting Flood Hazards in the Vietnam Central Region: An Artificial Neural Network Approach by Pham Quang, Minh, Tallam, Krti

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Mixing and dilution controls on marine CO 2 removal using alkalinity enhancement by Khangaonkar, Tarang, Carter, Brendan R, Premathilake, Lakshitha, Yun, Su Kyong, Ni, Wenfei, Stoll, Mary Margaret, Ward, Nicholas D, Hemery, Lenaïg G, Torres Sanchez, Carolina, Subban, Chinmayee V, Ringham, Mallory C, Eisaman, Matthew D, Pelman, Todd, Tallam, Krti, Feely, Richard A

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Climatic, land-use and socio-economic factors can predict malaria dynamics at fine spatial scales relevant to local health actors: Evidence from rural Madagascar by Julie D. Pourtois, Krti Tallam, Isabel Jones, Elizabeth Hyde, Andrew J. Chamberlin, Michelle V. Evans, Felana A. Ihantamalala, Laura F. Cordier, Bénédicte R. Razafinjato, Rado J. L. Rakotonanahary, Andritiana Tsirinomen’ny Aina, Patrick Soloniaina, Sahondraritera H. Raholiarimanana, Celestin Razafinjato, Matthew H. Bonds, Giulio A. De Leo, Susanne H. Sokolow, Andres Garchitorena

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Novel Machine Learning Approach for Predicting Poverty using Temperature and Remote Sensing Data in Ethiopia by Shah, Om, Tallam, Krti

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