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    Comparison between fuzzy and non-fuzzy classification methods in the prediction of residential household water leakage / Nor Aishah Md Noh, Dr. Khairul Anwar Rasmani and Nur Rasyid... by Md Noh, Nor Aishah, Rasmani, Khairul Anwar, Mohd Rashid, Nur Rasyida

    Published 2013
    “…The aim of this research is to predict residential households water leakage using models created based on training data with fuzzy rule-based and non-fuzzy rule-based algorithms available in WEKA Machine Learning Software (Witten and Frank, 2005). The outcome is the prediction on the existence of residential household water leakage. …”
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    Research Reports
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    Metabolic Syndrome in Female Police Officers and Female Office Workers: A Cross-Sectional Study in Occupations with Different Physical Activities by Strauss M, Foshag P, Brzek A, Vollenberg R, Jehn U, Leischik R

    Published 2020-10-01
    “…Markus Strauss,1,2 Peter Foshag,2 Anna Brzek,3 Richard Vollenberg,4 Ulrich Jehn,5 Roman Leischik2 1Department of Cardiology I- Coronary and Peripheral Vascular Disease, Heart Failure Medicine, University Hospital Muenster, Cardiol, Muenster 48149, Germany; 2Department of Cardiology, Sector Preventive Medicine, Health Promotion, Faculty of Health, School of Medicine, University Witten/Herdecke, Hagen 58095, Germany; 3Department of Physiotherapy, Chair of Physiotherapy, School of Health Sciences, Medical University of Silesia, Katowice, Poland; 4Department of Medicine B, Gastroenterology and Hepatology, University Hospital Muenster, Muenster 48149, Germany; 5Department of Medicine D, Division of General Internal Medicine, Nephrology and Rheumatology, University Hospital of Muenster, Muenster 48149, GermanyCorrespondence: Markus StraussDepartment of Cardiology I- Coronary and Peripheral Vascular Disease, Heart Failure Medicine, University Hospital Muenster, Cardiol 48149, Muenster, GermanyEmail markus.strauss@ukmuenster.deIntroduction: Increase in the prevalence of metabolic syndrome (MetS) has become a worldwide major health problem. …”
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    Article
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