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A data analytics pipeline to optimize polymer dose strategy in a semi-continuous multi-feed dewatering system 1 1 Introduction 1 2 Industrial site under study 2 2.1 Plant description 2 2.2 Process description 3 2.3 Data description 3 3 Methods 3 3.1 Section I: data retrieval 4 3.2 Section II: data wrangling 4 3.3 Section III: model development 4 3.4 Section IV: model analysis 5 4 Results 5 4.1 Section I: data retrieval 5 4.1.1 Step 1: data extraction 5 4.1.2 Step 2: data aggregation 5 4.2 Section II: data wrangling 5 4.2.1 Step 3: imputation of missing values 5 4.2.2 Step 4: study of process delays 5 4.2.3 Step 5: batch switch detection 6 4.2.4 Step 6 & 7: encoding time observation and microorganisms classification 7 4.2.5 Step 8: addition of the lagged variables 7 4.2.6 Step 9: analysis of the current mode of operation 7 4.2.7 Step 10: batch summarization 8 4.2.8 Step 11: train-test splitting 8 4.3 Section III: model development 8 4.3.1 Step 12: select model implementation 8 4.3.2 Step 13: defining model baselines 8 4.3.3 Step 14: categorical entity embedding 8 4.3.4 Step 15: hyperparameter selection 9 4.3.4.1 Random forest hyperparameter determination 9 4.3.4.2 Partial least squa

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Language

EN

Category

nonfiction