Predicting Fecal-Indicator Organisms in Coastal Waters Using a Complex Nonlinear Artificial Intelligence Model

Author:

Lam Man-Yue1ORCID,Ahmadian Reza2ORCID

Affiliation:

1. Research Associate, School of Engineering, Cardiff Univ., Cardiff CF24 3AA, UK (corresponding author). ORCID: .

2. Professor, School of Engineering, Cardiff Univ., Cardiff CF24 3AA, UK. ORCID:

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Civil and Structural Engineering,Environmental Chemistry,Environmental Engineering

Reference50 articles.

1. Modelling the transport and decay processes of microbial tracers in a macro-tidal estuary

2. Ahmadian, R., S. Bomminayuni, R. Falconer, and T. Stoesser. 2013. Numerical modelling of flow and faecal indicator organism transport at Swansea Bay, UK. Technical Rep. for the Interreg 4a Smart Coasts—Sustainable Communities Project. Cardiff, Wales: Cardiff Univ.

3. Regression Diagnostics

4. Multidimensional binary search trees used for associative searching

5. Decadal and Shorter Period Variability of Surf Zone Water Quality at Huntington Beach, California

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