Spatio-Temporal Learning and Monitoring for Complex Dynamic Processes with Irregular Data

by Chunhui Zhao , PhD Yu Wanke

Book Details

Format Paperback / Softback

ISBN-10 044333675X

ISBN-13 9780443336751

Publisher Elsevier Science Publishing Co Inc

Imprint Academic Press Inc

Country of Manufacture GB

Country of Publication GB

Publication Date Jul 1st, 2025

Print length 258 Pages

Product Classification: Mechanical engineering Production engineering

AI Summary

Ksh 29,350.00

Werezi Extended Catalogue 0 in stock

Delivery Location

County

Location

Delivery fee: Select location

Secure

Quality

Fast

Spatio-Temporal Learning Using Irregular Data for Complex Dynamic Processes introduces learning, modeling, and monitoring methods for highly complex dynamic processes with irregular data. Two classes of robust modeling methods are highlighted, including low-rank characteristic of matrices and heavy-tailed characteristic of distributions. In this class, the missing data, ambient noise, and outlier problems are solved using low-rank matrix complement for monitoring model development. Secondly, the Laplace distribution is explored, which is adopted to measure the process uncertainty to develop robust monitoring models. The book not only discusses the complex models but also their real-world applications in industry.

Get Spatio-Temporal Learning and Monitoring for Complex Dynamic Processes with Irregular Data by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Elsevier Science Publishing Co Inc and it has pages.