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Borowiec ML, Dikow RB, Frandsen PB, McKeeken A, Valentini G, White AE. Deep learning as a tool for ecology and evolution. Methods Ecol Evol 2022. [DOI: 10.1111/2041-210x.13901] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Marek L. Borowiec
- Entomology, Plant Pathology and Nematology University of Idaho Moscow ID USA
- Institute for Bioinformatics and Evolutionary Studies (IBEST) University of Idaho Moscow ID USA
| | - Rebecca B. Dikow
- Data Science Lab, Office of the Chief Information Officer Smithsonian Institution Washington DC USA
| | - Paul B. Frandsen
- Data Science Lab, Office of the Chief Information Officer Smithsonian Institution Washington DC USA
- Department of Plant and Wildlife Sciences Brigham Young University Provo UT USA
| | - Alexander McKeeken
- Entomology, Plant Pathology and Nematology University of Idaho Moscow ID USA
| | | | - Alexander E. White
- Data Science Lab, Office of the Chief Information Officer Smithsonian Institution Washington DC USA
- Department of Botany, National Museum of Natural History Smithsonian Institution Washington DC USA
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Li S, Jian J, Poopal RK, Chen X, He Y, Xu H, Yu H, Ren Z. Mathematical modeling in behavior responses: The tendency-prediction based on a persistence model on real-time data. Ecol Modell 2022. [DOI: 10.1016/j.ecolmodel.2021.109836] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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Hussein AM, Abd Elaziz M, Abdel Wahed MS, Sillanpää M. A new approach to predict the missing values of algae during water quality monitoring programs based on a hybrid moth search algorithm and the random vector functional link network. JOURNAL OF HYDROLOGY 2019; 575:852-863. [DOI: 10.1016/j.jhydrol.2019.05.073] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
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Crisci C, Terra R, Pacheco JP, Ghattas B, Bidegain M, Goyenola G, Lagomarsino JJ, Méndez G, Mazzeo N. Multi-model approach to predict phytoplankton biomass and composition dynamics in a eutrophic shallow lake governed by extreme meteorological events. Ecol Modell 2017. [DOI: 10.1016/j.ecolmodel.2017.06.017] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Ye L, Cai Q, Zhang M, Tan L. Real-time observation, early warning and forecasting phytoplankton blooms by integrating in situ automated online sondes and hybrid evolutionary algorithms. ECOL INFORM 2014. [DOI: 10.1016/j.ecoinf.2014.04.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Ye L, Cai Q. Spring phytoplankton blooms in Xiangxi Bay of Three-Gorges Reservoir: spatiotemporal dynamics across sharp nutrient gradients. JOURNAL OF FRESHWATER ECOLOGY 2011; 26:11-18. [DOI: 10.1080/02705060.2011.553815] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
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