Water characterization and early contamination detection in highly varying stochastic background water, based on Machine Learning methodology for processing real-time UV-Spectrophotometry.
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[1] Roy C. Haught,et al. On–Line water quality parameters as indicators of distribution system contamination , 2007 .
[2] Gary Winston,et al. A tap water turbidity crisis in Tel Aviv, Israel, due to technical failure: toxicological and risk management issues. , 2003, International journal of hygiene and environmental health.
[3] Barak Fishbain,et al. Prediction of Bacterial Contamination Outbursts in Water Wells through Sparse Coding , 2017, Scientific Reports.
[4] G Langergraber,et al. Time-resolved delta spectrometry: a method to define alarm parameters from spectral data. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.
[5] B. Fishbain,et al. Contamination Detection of Water with Varying Routine Backgrounds by UV-Spectrophotometry , 2018, Journal of Water Resources Planning and Management.
[6] M. H. Hodge,et al. Confusion matrix analysis of single and multidimensional auditory displays. , 1962, Journal of experimental psychology.
[7] Steven C. Allgeier,et al. Optimizing operational reliability of the Cincinnati contamination warning system , 2011 .
[8] Jian Zhang,et al. Online Monitoring of Water-Quality Anomaly in Water Distribution Systems Based on Probabilistic Principal Component Analysis by UV-Vis Absorption Spectroscopy , 2014 .
[9] I. Miettinen,et al. Contaminated water caused the first outbreak of giardiasis in Finland, 2007: A descriptive study , 2010, Scandinavian journal of infectious diseases.
[10] Michael Elad,et al. Sparse and Redundant Representations - From Theory to Applications in Signal and Image Processing , 2010 .
[11] Mark Gibson,et al. Technologies and Techniques for Early Warning Systems to Monitor and Evaluate Drinking Water Quality: A State-of-the-Art Review , 2005 .
[12] Avi Ostfeld,et al. Comparison of two multivariate classification models for contamination event detection in water quality time series , 2015 .
[13] Peter H. Gleick,et al. Water and terrorism , 2006 .
[14] Dibo Hou,et al. Detection of water-quality contamination events based on multi-sensor fusion using an extented Dempster–Shafer method , 2013 .
[15] Avi Ostfeld,et al. Event detection in water distribution systems from multivariate water quality time series. , 2012, Environmental science & technology.
[16] Avi Ostfeld,et al. A Coupled Decision Trees Bayesian Approach for Water Distribution Systems Event Detection , 2012 .
[17] C. Moldaenke,et al. Detection of chemical threat agents in drinking water by an early warning real‐time biomonitor , 2003, Environmental toxicology.
[18] Dan Kroll,et al. OPERATIONAL AND LABORATORY VERIFICATION TESTING OF A HEURISTIC ON-LINE WATER MONITORING SYSTEM FOR SECURITY , 2007 .
[19] Katherine A. Klise,et al. Event Detection from Water Quality Time Series , 2007 .
[20] B. H. Tangena,et al. A Novel Approach for Early Warning of Drinking Water Contamination Events , 2011 .
[21] Avi Ostfeld,et al. A dynamic thresholds scheme for contaminant event detection in water distribution systems. , 2013, Water research.
[22] Avi Ostfeld,et al. A coupled classification - evolutionary optimization model for contamination event detection in water distribution systems. , 2014, Water research.