Book Description: Statistical Process Monitoring using Advanced Data-Driven and Deep Learning Approaches Authors: [Author Name(s)], [Institutional Affiliation(s)], [Email Address(es)] 2021 332 Fouzi Harrou Summary: This book provides an in-depth overview of the latest advancements in statistical process monitoring (SPM) techniques, focusing on the application of advanced data-driven and deep learning approaches to improve the accuracy and efficiency of process monitoring in various industries. With the increasing complexity of modern technologies and the growing need for real-time monitoring, SPM has become a crucial aspect of process optimization and quality control. The book covers the fundamental concepts of SPM, its evolution, and the current state-of-the-art techniques, including machine learning algorithms, data mining, and deep learning approaches. It also discusses the challenges and limitations of these techniques and their potential applications in different industries.

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