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Estimating seawater intrusion impacts on coastal intakes as a result of climate change

Journal - American Water Works Association, 2013-11, Vol.105 (11), p.E642-E650

2013

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Modeling fouling in a large RO system with artificial neural networks

Journal of membrane science, 2018-04, Vol.552, p.95-106

2018

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The use of data-mining techniques for developing effective decision support systems: a case study of simulating the effects of climate change on coastal salinity intrusion

Geological Society special publication, 2017-01, Vol.408 (1), p.221-234

2017

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Decision Support System for Optimally Managing Water Resources to Meet Multiple Objectives in the Savannah River Basin

Journal of South Carolina water resources, 2015-06 (2), p.16-23

2015

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Using Real-Time Water-Resource Data to Manage Conflicting Water Needs in the Savannah River Basin, Georgia and South Carolina

Proceedings of the Water Environment Federation, 2015, Vol.2015 (5), p.1077-1096

2015

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Transforming Large Databases Into Critical Knowledge Using Data Mining– Three Case Studies in South Carolina and Georgia

Proceedings of the Water Environment Federation, 2006-01, Vol.2006 (6), p.6248-6267

2006

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Control Nitrification With Online Monitoring

Opflow (Denver, Colo.), 2012-08, Vol.38 (8), p.20-22

2012

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Maximizing Data-Collection Networks by Using Data-Mining Techniques – Case Studies in the Florida Everglades

Proceedings of the Water Environment Federation, 2008-01, Vol.2008 (12), p.4384-4398

2008

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Integrating Categorical and Real-Time Monitoring Data to Optimally Model Water Quality for Waterbasins and Beyond

Proceedings of the Water Environment Federation, 2009-01, Vol.2009 (6), p.845-857

2009

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Separating Anthropogenic Influences on Hydrology Using Data Mining Techniques – A Case Study of the Congaree National Park, South Carolina

Proceedings of the Water Environment Federation, 2007-10, Vol.2007 (8), p.8808-8830

2007

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Simulating and Mitigating the Effect of Climate Change on Estuarine Salinity Intrusion Using Data-Mining Techniques – A Case Study on the Lower Savannah River Estuary, GA

Proceedings of the Water Environment Federation, 2010-01, Vol.2010 (17), p.483-500

2010

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Managing Forest Water Quantity and Quality under Climate Change

Climate Change Adaptation and Mitigation Management Options, 2014, p.265-322

2014

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DEVELOPMENT OF AN EMPIRICAL MODEL OF A COMPLEX, TIDALLY AFFECTED RIVER USING ARTIFICIAL NEURAL NETWORKS

Proceedings of the Water Environment Federation, 2003-01, Vol.2003 (4), p.1-30

2003

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Flexible Control of an Organic Matrix Composite Cure Process using Object-Oriented Control Concepts

1990 American Control Conference, 1990, p.1980-1985

1990

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MAKING SENSE OF IT ALL: A NEW APPROACH IN TRANSFORMING UTILITY DATA INTO INFORMATION

Proceedings of the Water Environment Federation, 2007-01, Vol.2007 (16), p.2399-2410

2007

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Estimating seawater intrusion impacts on coastal intakes as a result of climate change

Modeling fouling in a large RO system with artificial neural networks

The use of data-mining techniques for developing effective decision support systems: a case study of simulating the effects of climate change on coastal salinity intrusion

Decision Support System for Optimally Managing Water Resources to Meet Multiple Objectives in the Savannah River Basin

Using Real-Time Water-Resource Data to Manage Conflicting Water Needs in the Savannah River Basin, Georgia and South Carolina

Transforming Large Databases Into Critical Knowledge Using Data Mining– Three Case Studies in South Carolina and Georgia

Control Nitrification With Online Monitoring

Maximizing Data-Collection Networks by Using Data-Mining Techniques – Case Studies in the Florida Everglades

Integrating Categorical and Real-Time Monitoring Data to Optimally Model Water Quality for Waterbasins and Beyond

Separating Anthropogenic Influences on Hydrology Using Data Mining Techniques – A Case Study of the Congaree National Park, South Carolina

Simulating and Mitigating the Effect of Climate Change on Estuarine Salinity Intrusion Using Data-Mining Techniques – A Case Study on the Lower Savannah River Estuary, GA

Managing Forest Water Quantity and Quality under Climate Change

DEVELOPMENT OF AN EMPIRICAL MODEL OF A COMPLEX, TIDALLY AFFECTED RIVER USING ARTIFICIAL NEURAL NETWORKS

Flexible Control of an Organic Matrix Composite Cure Process using Object-Oriented Control Concepts

MAKING SENSE OF IT ALL: A NEW APPROACH IN TRANSFORMING UTILITY DATA INTO INFORMATION

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