Reference health
A predictive model of recreational water quality based on adaptive synthetic sampling algorithms and machine learning
29/29 checkable references clean · checked 2026-07-23
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
12 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 29 checked references that resolve
resolves10.1016/S1364-8152(03)00135-X
Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models
resolves10.2166/wst.2010.842
Classification and regression tree (CART) analysis for indicator bacterial concentration prediction for a Californian coastal area
resolves10.1145/1007730.1007735
A study of the behavior of several methods for balancing machine learning training data
resolves10.1061/(ASCE)WR.1943-5452.0000348
Planning the Optimal Operation of a Multioutlet Water Reservoir with Water Quality and Quantity Targets
resolves10.1016/j.watres.2012.12.026
Real-time forecasting of Hong Kong beach water quality by 3D deterministic model
resolves10.1016/j.watres.2006.08.022
Backfilling missing microbial concentrations in a riverine database using artificial neural networks
resolves10.1080/10643389.2013.829978
Modeling Fecal Indicator Bacteria Concentrations in Natural Surface Waters: A Review
resolves10.1016/j.watres.2018.11.063
Artificial neural networks as emulators of process-based models to analyse bathing water quality in estuaries
resolves10.3390/w9020105
Machine Learning Algorithms for the Forecasting of Wastewater Quality Indicators
resolves10.1016/j.watres.2008.01.002
Water quality prediction of marine recreational beaches receiving watershed baseflow and stormwater runoff in southern California, USA
resolves10.1080/15481603.2014.900983
Machine learning approaches to coastal water quality monitoring using GOCI satellite data
resolves10.1007/s00267-002-0036-4
Integrating Bioassessment and Ecological Risk Assessment: An Approach to Developing Numerical Water-Quality Criteria
resolves10.1007/s12517-019-4350-z
CART and PSO+KNN algorithms to estimate the impact of water level change on water quality in Poyang Lake, China
resolves10.1007/s00500-010-0625-8
Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling
resolves10.1016/j.watres.2012.05.023
Development of a neural-based forecasting tool to classify recreational water quality using fecal indicator organisms
resolves10.1016/S0198-9715(01)00015-1
Using neural networks and GIS to forecast land use changes: a Land Transformation Model
resolves10.1016/j.watres.2011.12.005
Wastewater quality monitoring system using sensor fusion and machine learning techniques
resolves10.1109/JETCAS.2018.2844733
Energy-Efficient Classification for Resource-Constrained Biomedical Applications
resolves10.1002/2017WR021039
Hydropower Optimization Using Artificial Neural Network Surrogate Models of a High‐Fidelity Hydrodynamics and Water Quality Model
resolves10.1111/j.1747-6593.2011.00258.x
Development and use of modelling techniques for real‐time bathing water quality predictions
resolves10.1016/j.watres.2014.09.001
Predicting water quality at Santa Monica Beach: Evaluation of five different models for public notification of unsafe swimming conditions
resolves10.1061/(ASCE)0733-9372(2008)134:9(789)
Artificial Intelligence-Based Inductive Models for Prediction and Classification of Fecal Coliform in Surface Waters
resolves10.1097/EDE.0b013e318169cc87
High Sensitivity of Children to Swimming-Associated Gastrointestinal Illness
resolves10.1016/j.ecolind.2016.02.016
Improving real-time forecasting of water quality indicators with combination of process-based models and data assimilation technique
The 12 references without a DOI — listed, not checked
no DOI — not checkedEvaluation of multivariate linear regression and artificial neural networks in prediction of water quality parameters
no DOI — not checkedEvaluating a microbial water quality prediction model for beach management under the revised EU Bathing Water Directive
no DOI — not checkedWater quality modeling in reservoirs using multivariate linear regression and two neural network models
no DOI — not checkedOctober. Comparison of accuracy level K-nearest neighbor algorithm and support vector machine algorithm in classification water quality status
no DOI — not checked10.1016/j.watres.2020.115788_bib14
no DOI — not checkedSeptember. Handling class imbalance problem using oversampling techniques: a review
no DOI — not checkedJune. ADASYN: adaptive synthetic sampling approach for imbalanced learning
no DOI — not checkedAugust. Borderline-SMOTE: a new over-sampling method in imbalanced data sets learning
no DOI — not checkedAssessing stormwater detention systems treating road runoff with an artificial neural network predicting fecal indicator organisms
no DOI — not checkedApril. A comparative study of various classification techniques to determine water quality
no DOI — not checkedLearning internal representations by error propagation
no DOI — not checkedDaily forecasting of Hong Kong beach water quality by multiple linear regression (MLR) models
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