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F-specific RNA coliphages: occurrence, types, and survival in natural waters

Water research (Oxford), 2002-05, Vol.36 (9), p.2419-2425

2002

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Artificial neural network modelling: a summary of successful applications relative to microbial water quality

Water science and technology, 2003-01, Vol.47 (3), p.235-240

2003

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Land-use effects on water quality of a first-order stream in the Ozark Highlands, mid-southern United States

River research and applications, 2011-07, Vol.27 (6), p.772-790

2011

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Multivariate Logistic Regression for Predicting Total Culturable Virus Presence at the Intake of a Potable-Water Treatment Plant: Novel Application of the Atypical Coliform/Total Coliform Ratio

Applied and Environmental Microbiology, 2007-06, Vol.73 (12), p.3965-3974

2007

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Investigating the Effect of Carbon Shape on Virus Adsorption

Environmental science & technology, 2000-07, Vol.34 (13), p.2779-2783

2000

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A neural network approach to identifying non-point sources of microbial contamination

Water research (Oxford), 1999, Vol.33 (14), p.3099-3106

1999

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Novel bacterial ratio for predicting faecal age

Water science and technology, 2003-01, Vol.47 (3), p.45-49

2003

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Robust Training Termination Criterion for Back-Propagation ANNs Applicable to Small Data Sets

Journal of computing in civil engineering, 2007-01, Vol.21 (1), p.39-46

2007

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The utility of the AC/TC ratio for watershed management: a case study

Water science and technology, 2004-01, Vol.50 (1), p.199-203

2004

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Predicting Enteric Virus Presence in Surface Waters Using Artificial Neural Network Models

Environmental engineering science, 2008-01, Vol.25 (1), p.53-62

2008

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Iodine disinfection of a model bacteriophage, MS2, demonstrating apparent rebound

Water research (Oxford), 1999, Vol.33 (1), p.169-179

1999

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Neural network modelling of Cryptosporidium and Giardia concentrations in the Delaware River, USA

Water science and technology, 2001-01, Vol.43 (12), p.125-132

2001

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Characterization of Dairy Milk House Waste water in Kentucky

Applied engineering in agriculture, 2007-03, Vol.23 (2), p.165-170

2007

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A neural-network-based classification scheme for sorting sources and ages of fecal contamination in water

Water research (Oxford), 2002-09, Vol.36 (15), p.3765-3774

2002

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Predictive input parameters for enteric virus presence at the inlet of a potable water supply

Water science and technology, 2006-01, Vol.54 (3), p.17-21

2006

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Effect of Aging and Conditioning on Diffusion and Sorption of Small Molecules in Polymer Glasses

Macromolecules, 2000-03, Vol.33 (6), p.2192-2199

2000

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Increased suicide risk among workers following toxic metal exposure at the Paducah gaseous diffusion plant from 1952 to 2003: a cohort study

international journal of occupational and environmental medicine, 2011-10, Vol.2 (4), p.199-214

2011

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Use of acetaminophen and sucralose as co-analytes to differentiate sources of human excreta in surface waters

Water research (Oxford), 2019-06, Vol.157, p.1-7

2019

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New approach to use of total coliform test for watershed management

Water science and technology, 2000-01, Vol.42 (1-2), p.65-69

2000

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Volume Change of Glassy Polymers by Sorption of Small Molecules and Its Relation to the Intermolecular Space

Macromolecules, 1997-12, Vol.30 (25), p.8058-8065

1997

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The influence of sorption of small molecules on the yield stress of glassy polymers

Polymer (Guilford), 1999-03, Vol.40 (7), p.1807-1814

1999

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Use of Total Coliform Test for Watershed Monitoring with Respect to Atypicals

Journal of environmental engineering (New York, N.Y.), 2000-02, Vol.126 (2), p.175-181

2000

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Seeing the Elephant

Journal of environmental engineering (New York, N.Y.), 2006-02, Vol.132 (2), p.156-156

Brion, Gail

2006

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USING NEURAL NETWORKS to predict peak Cryptosporidium concentrations

Journal - American Water Works Association, 2001-01, Vol.93 (1), p.99-105

2001

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Backfilling missing microbial concentrations in a riverine database using artificial neural networks

Water research (Oxford), 2007, Vol.41 (1), p.217-227

2007

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F-specific RNA coliphages: occurrence, types, and survival in natural waters

Artificial neural network modelling: a summary of successful applications relative to microbial water quality

Land-use effects on water quality of a first-order stream in the Ozark Highlands, mid-southern United States

Multivariate Logistic Regression for Predicting Total Culturable Virus Presence at the Intake of a Potable-Water Treatment Plant: Novel Application of the Atypical Coliform/Total Coliform Ratio

Investigating the Effect of Carbon Shape on Virus Adsorption

A neural network approach to identifying non-point sources of microbial contamination

Novel bacterial ratio for predicting faecal age

Robust Training Termination Criterion for Back-Propagation ANNs Applicable to Small Data Sets

The utility of the AC/TC ratio for watershed management: a case study

Predicting Enteric Virus Presence in Surface Waters Using Artificial Neural Network Models

Iodine disinfection of a model bacteriophage, MS2, demonstrating apparent rebound

Neural network modelling of Cryptosporidium and Giardia concentrations in the Delaware River, USA

Characterization of Dairy Milk House Waste water in Kentucky

A neural-network-based classification scheme for sorting sources and ages of fecal contamination in water

Predictive input parameters for enteric virus presence at the inlet of a potable water supply

Effect of Aging and Conditioning on Diffusion and Sorption of Small Molecules in Polymer Glasses

Increased suicide risk among workers following toxic metal exposure at the Paducah gaseous diffusion plant from 1952 to 2003: a cohort study

Use of acetaminophen and sucralose as co-analytes to differentiate sources of human excreta in surface waters

New approach to use of total coliform test for watershed management

Volume Change of Glassy Polymers by Sorption of Small Molecules and Its Relation to the Intermolecular Space

The influence of sorption of small molecules on the yield stress of glassy polymers

Use of Total Coliform Test for Watershed Monitoring with Respect to Atypicals

Seeing the Elephant

USING NEURAL NETWORKS to predict peak Cryptosporidium concentrations

Backfilling missing microbial concentrations in a riverine database using artificial neural networks

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