Výsledky vyhledávání - "James E. Ivey"

Recent increases in global urea usage, including its incorporation in slow-release fertilizers commonly used in lawn care in Florida, have the potential to alter the form and amount of nitrogen inputs to coastal waters. This shift may, in turn, impac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a82851b8e1c4ea68bcb367ed76c83d18

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Drivers of phytoplankton dynamics in old Tampa Bay, FL (USA), a subestuary lagging in ecosystem recovery

Autor: James E. Ivey, Alina A. Corcoran, Susan Murasko, Erin H. Leone, Jennifer L. Wolny

Publikováno v: Estuarine, Coastal and Shelf Science. 185:130-140

In the past four decades, consistent and coordinated management actions led to the recovery of Tampa Bay, FL (USA) – an estuary that was declared dead in the 1970s. An exception to this success story is Old Tampa Bay, the northernmost subestuary of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a47cca792acf0aa316cfa6dbbe5697a2
https://doi.org/10.1016/j.ecss.2016.11.009

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Coastal ‘Big Data’ and nature-inspired computation: Prediction potentials, uncertainties, and knowledge derivation of neural networks for an algal metric

Autor: James E. Ivey, Gary R. Weckman, Gary L. Fahnenstiel, David F. Millie, Ehsan Ardjmand, David Fries, William A. Young

Publikováno v: Estuarine, Coastal and Shelf Science. 125:57-67

Coastal monitoring has become reliant upon automated sensors for data acquisition. Such a technical commitment comes with a cost; particularly, the generation of large, high-dimensional data streams (‘Big Data’) that personnel must search through

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f90a415d40837b48c0049df8313078e3
https://doi.org/10.1016/j.ecss.2013.04.001

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Modeling microalgal abundance with artificial neural networks: Demonstration of a heuristic ‘Grey-Box’ to deconvolve and quantify environmental influences

Autor: Hunter J. Carrick, William A. Young, James E. Ivey, David F. Millie, Gary L. Fahnenstiel, Gary R. Weckman

Publikováno v: Environmental Modelling & Software. 38:27-39

An artificial neural network (ANN)-based technology - a 'Grey-Box', originating the iterative selection, depiction, and quantitation of environmental relationships for modeling microalgal abundance, as chlorophyll (CHL) a, was developed and evaluated

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::092401a7b0fea5de957d0bb7c6cadf09
https://doi.org/10.1016/j.envsoft.2012.04.009

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