Learning-Based Soft Sensing and Predictions for Process Industries

Name: Learning-Based Soft Sensing and Predictions for Process Industries
Price: 415.75 AUD
Availability: PreOrder

Theory, Methodology and Applications

By: Hamid Reza, PhD Karimi, Yongxiang, PhD Lei

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Paperback | 1 August 2026

At a Glance

Format
Paperback

Dimensions(cm)
22.9 x 15.2

Paperback

$415.75

or 4 interest-free payments of $103.94 with

Available: 1st August 2026

Preorder. Will ship when available.

Learning-Based Predictions and Soft Sensing for Process Industries: Theory, Methodology and Applications covers prediction and soft sensing in industrial processes that are subject to specific challenges with AI-empowered learning algorithms. With the aid of a data-driven modeling strategy, the book explores the problems of industrial prediction and soft sensing and formulates a series of learning-based theory, methodologies, and applications. The book introduces the basics of prediction and soft sensing backgrounds, including different categories of prediction theory. Secondly, covers the foundations of machine learning methodologies, including supervised learning prediction, semi-supervised, and self-supervised prediction. Finally, the book examines novel learning-based models/architectures.

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