Journal of Water Resource and Protection

Journal of Water Resource and Protection

ISSN Print: 1945-3094
ISSN Online: 1945-3108
www.scirp.org/Journal/jwarp
E-mail: jwarp@scirp.org
"Lake Water Monitoring Data Assessment by Multivariate Statistics"
written by Vasil Simeonov, Pavlina Simeonova, Stefan Tsakovski, Vasil Lovchinov,
published by Journal of Water Resource and Protection, Vol.2 No.4, 2010
has been cited by the following article(s):
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[8] Water Quality Monitoring Method Based on TLD 3D Fish Tracking and XGBoost
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[11] ASSESSMENT OF HEAVY METALS CONCENTRATION IN AIRBORNE PARTICULATE MATTER (PM10) IN SELECTED TRAFFIC AREAS OF THE KLANG …
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[13] STATISTICAL ANALYSIS OF SOME SOIL PARAMETERS FROM LUVISOILS IN THE REGION OF STARA ZAGORA
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[14] Application of Chemometric Analysis to the Study of Snow at the Sudety Mountains, Poland
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[16] Co‐occurrences of EDCs/PPCPs in Surface Water Using Chemometrics
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[17] Implementation of Water Quality Management by Fish School Detection Based on Computer Vision Technology
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[18] Assessing water quality in Lake Naivasha.
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[19] Chemical variability of the Tahitian Marchantia hexaptera Reich.
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[20] 基于计算机视觉与 SVM 的水质异常监测方法
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[21] Sustainable Urban Water Environment: Climate, Pollution and Adaptation
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[22] Assessing water quality in Lake Naivasha
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[23] A procedure for meaningful unsupervised clustering and its application for solvent classification
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[24] Freshwater environmental quality parameters of man-made lakes of Serbia
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[25] Spatial Differentiation of Water Quality Between Reservoirs Under Anthropogenic and Natural Factors Based on Statistical Approach
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[26] Chemical variability of the Tahitian Marchantia hexaptera Reich.
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[27] Multivariate Analyses for Monitoring EDCs and PPCPs in a Lake Water
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[28] A multivariate analysis of water quality in Lake Naivasha, Kenya
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[33] Environmetric Data Interpretation to Assess Surface Water Quality
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[35] Identification of cryptic species within liverwort Conocephalum conicum based on the volatile components
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[36] Classification of chemical analytical data with the use of a combination of the Kohonen and the probabilistic neural networks
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[37] КЛАССИФИКАЦИЯ ХИМИКО-АНАЛИТИЧЕСКИХ ДАННЫХ НА ОСНОВЕ ОБЪЕДИНЕНИЯ НЕЙРОННОЙ СЕТИ КОХОНЕНА И ВЕРОЯТНОСТНОЙ …
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[39] Data Driven Multivariate Technique for Fault Detection of Waste Water Treatment Plant
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[40] Spatio-Temporal Variations in Water Quality of the Chao Phraya River, Thailand, between 1991 and 2008
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[41] Data clustering approach to industrial process monitoring, fault detection and isolation
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