Articulates a series of scientific and technological developments described in a didactic way Shows a broad view of biometrics in several contexts: Current cases of study in five different areas Provides experimental results in different environments (availability of data and computer code to reproduce the experiments) Includes transdisciplinary approaches and discussions for each chapter Innovation as part of the final cases of study: developments are already affecting the new businesses of the digital age and the era of the brain

The book articulates a series of scientific and technological developments described in a didactic way. The book shows a broad view of system identification in several contexts: Current cases of study are in different control methods. Experimental results in different environments (availability of data and computer code to reproduce the experiments). Transdisciplinary approaches and discussions for each chapter. Innovation as part of the final cases of study: developments are already affecting the new big data of the digital age and the era of the advanced control.

Machine Learning in Manufacturing: Quality 4.0 and the Zero Defects Vision reviews the process monitoring of this new concept. The book identifies the nine big data issues in manufacturing and addresses them using an ad hoc 7-step problem-solving strategy that increases the likelihood of successfully deploying this Quality 4.0 initiative. With real case studies from General Motors, the book explains how to successfully deploy AI in manufacturing and how to move quality standards forward by developing virtually defect-free processes. This book will enable engineers to identify Quality 4.0 applications and manufacturing companies to successfully implement Quality 4.0 practices.Industrial big data and arti?cial intelligence are propelling a new era of manufacturing: smart manufacturing. Although these driving technologies have the capacity to advance the state-of-the-art in manufacturing, current benchmarks of quality, conformance, productivity and innovation in industrial manufacturing have set a very high bar for machine learning algorithms.