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Objective Function Water Pipelines Numerical Models Alumina Ceramics Support Project Ball-Milling Polynomial Regression Analysis Augmented Reality(AR) Ceramic Powder Quality Characteristic Optimization Methods Alumina Powder Ict Convergence Particle Size Distributions Hydrus-1d Environmental Protection Agency Disinfection By-Products General Method Grinding Performance Key Parameters Latent Variables Milling Speed Multivariate Statistical Techniques Data-Driven Statistical Hypothesis Test Side Branches Pipeline Vibration Need For Second-Order Polynomial(SOP) Urban Water Management Unsaturated Soil Transient Response Regression Model Advanced Modeling Influential Factor Abnormality Detection Confidence Interval Dynamic Independent Component Analysis Desirability Approach Drinking Water Distribution Systems Data Preprocessing Forecasting Model High-Quality Hybrid Method Input Selection Support Vector Regression(SVR) Storm Water Management Model(SWMM) Soil Conditions Public Data Water Hammer Water Supply Systems Optimization Algorithm Overall Quality Type Ii Error Transient Analysis Asset Management Cost-Effective Fault Type Sensor Data Interaction Effects Valve Action Water Supply Network Water Treatment Plants Optimization Problem Urban Area Auto-Associative Kernel Regression False Alarm Rate Machine Learning Approach Solid Content Significant Factor Preprocessing Steps Unsteady Friction Water Mains Water Quality Analysis Type I Error Field Capacity Environmental Factor(E-factor) Central Composite Design(CCD) Classification Models Fault Detection Statistical Methods Short-Term Sensitivity Analysis Soil Moisture Vibration Sensor Prediction Interval Process Optimization Ball Size Controllable Factors Comparative Study Exploratory Data Analysis Milling Parameters Milling Time Milling Performance Product Quality Pressure Response Pressure Decay Volume Percentage Water Demand Forecasting Wet Grinding Optimal Processing Parameters Urban Flooding Case Studies Digital Twin Machine Learning Technique(MLT) Technical Assistance Modeling Techniques Pipeline Structure Process Model Unique Solution Hydrologic Cycle Anomaly Detection Detection Rate(DR) Detection Techniques Data Portal Experiment Results Feature Importance Functional Relationship Industrial Plants Leak Detection Leakage Detection Low Impact Development Management Challenges Miss Detection Manufacturing Processes Simulation Results Pipeline Networks Pipeline Management Pipeline System