Spatio-Temporal Learning and Monitoring for Complex Dynamic Processes with Irregular Data - Image 1

£139.68

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

Name: Spatio-Temporal Learning and Monitoring for Complex Dynamic Processes with Irregular Data
Brand: Elsevier
Price: 139.68 GBP
Availability: InStock

Civil Engineering

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Description

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. Shows how to analyze, in great detail, the industrial operational status through spatio-temporal representation learning Covers how to establish robust monitoring models for industrial processes with irregular data Indicates how to adaptively update models in order to reduce frequent false alarms for dynamic processes Explains how to take the temporal correlation into consideration to develop an adaptive monitoring model for satisfying the dynamic behaviours of industrial processes

Product Specifications

Brand: Elsevier
Format: paperback
ASIN: 044333675X
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Civil Engineering
Domain: Amazon UK
Release Date: 01 July 2025
Listed Since: 23 November 2024

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

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