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2021 | OriginalPaper | Buchkapitel

Machine Learning for Smart Manufacturing for Healthcare Applications

verfasst von : Nivesh Gadipudi, I. Elamvazuthi, S. Parasuraman, Alberto Borboni

Erschienen in: Futuristic Trends in Intelligent Manufacturing

Verlag: Springer International Publishing

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Abstract

Smart manufacturing is the integration of information technology infrastructure and intelligent computational algorithms in manufacturing process. Smart manufacturing provides intelligent and interoperable environments, effectively targeting the mass production requirements and quality. In this work, the interdependence between the current smart manufacturing industry and healthcare applications are presented. Importance of product tracking of state of art healthcare equipment using cloud-based environments and improved manufacturing processes using machine learning algorithms leverages further innovations in healthcare applications including drug discovery, early diagnosis of diseases, rehabilitation and pandemic modelling.

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Vorheriges Kapitel ANFIS and RSM Modelling Analysis on Surface Roughness of PB Composites in Drilling with HSS Drills

Nächstes Kapitel A Comparative Analysis of Two Soft Computing Methods for Sales Forecasting in Dairy Production: A Case Study

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Titel: Machine Learning for Smart Manufacturing for Healthcare Applications
verfasst von: Nivesh Gadipudi
I. Elamvazuthi
S. Parasuraman
Alberto Borboni
Verlag: Springer International Publishing
Buch: Futuristic Trends in Intelligent Manufacturing
Print ISBN: 978-3-030-70008-9

Electronic ISBN: 978-3-030-70009-6

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-70009-6_9

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