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Hydrology / Stream gauge / Statistics / Data mining / Information / Science / Data


Development of Inferential Sensors for Real-time Quality Control of Water-level Data for the Everglades Depth Estimation Network Ruby C. Daamen1, Edwin Roehl, Jr.2 and Paul A. Conrads3 ___________________________________
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Jacksonville / Greenville / /

Company

Southern Florida Project Comprehensive Review / Pearson / Advanced Data Mining Intl / /

Country

United States / /

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Facility

Columbia Metropolitan Convention Center / /

IndustryTerm

input site / post-processing / artificial neural network / real-time water-level gaging stations / qualified technical personnel travel / real-time hydrologic monitoring networks / given site / industrial applications / real-time data / post-processing logic / /

Organization

United States Army / /

Person

Edwin Roehl / Jr. / Vincent Guinot / Yui Liong / Philippe Gourbesville / Jean Cunge / /

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Position

Chief Technical Officer / /

ProgrammingLanguage

Ruby / /

ProvinceOrState

Florida / South Carolina / /

Region

Southern Florida / Central Florida / /

Technology

Data Mining / neural network / Process Control / two algorithms / /

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