Machine-Learning-Based Soft Sensors for LPG Distillation Columns Quality Monitoring: Comparing Strategies for Zero-Inflated Data-Reference-Cited by-同舟云学术

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Machine-Learning-Based Soft Sensors for LPG Distillation Columns Quality Monitoring: Comparing Strategies for Zero-Inflated Data

Published:2023-11-16 Issue: Volume:4 Page:1-6
ISSN:
Container-title:2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)
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Author:

Rožanec Jože M.¹^ORCID,Šircelj Beno²^ORCID,Onat Melike K.³,Sarantinoudis Nikolaos⁴^ORCID,Arampatzis George⁴^ORCID,Fortuna Blaž⁵^ORCID,Mladenić Dunja²^ORCID

Affiliation:

1. Jožef Stefan International Postgraduate School,Ljubljana,Slovenia

2. Jožef Stefan Institute,Ljubljana,Slovenia

3. Process Optimization And Operations Research Tüpras,Körfez,Türkiye

4. School of Production Engineering and Management, Technical University of Crete,Chania,Greece

5. Qlector d.o.o.,Ljubljana,Slovenia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389177/10389181/10389461.pdf?arnumber=10389461

Reference15 articles.

1. A Semi-supervised Framework for Simultaneous Classification and Regression of Zero-Inflated Time Series Data with Application to Precipitation Prediction

2. Reframing Demand Forecasting: A Two-Fold Approach for Lumpy and Intermittent Demand

3. Zero-Truncated and Zero-Inflated Models for Count Data

4. Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods

5. Specification and testing of some modified count data models

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