Cost-Sensitive Decision Support for Industrial Batch Processes

Cost-Sensitive Decision Support for Industrial Batch Processes

In this work, cost-sensitive decision support was developed. Using Batch Data Analytics (BDA) methods of the batch data structure and feature accommodation, the batch process property and sensor data can be accommodated. The batch data structure organises the batch processes’ data, and the feature a...

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Bibliographic Details
Main Authors:	Simon Mählkvist, Jesper Ejenstam, Konstantinos Kyprianidis
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Series:	Sensors
Subjects:	Batch Data Analytics (BDA) feature-oriented cost-sensitive learning decision support machine learning
Online Access:	https://www.mdpi.com/1424-8220/23/23/9464

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