Multi-sensors data fusion for monitoring of powdered and granule products: Current status and future perspectives

Asachi, M orcid.org/0000-0002-9112-4839 and Alonso Camargo-Valero, M (2023) Multi-sensors data fusion for monitoring of powdered and granule products: Current status and future perspectives. Advanced Powder Technology, 34 (7). 104055. ISSN 0921-8831

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Item Type: Article
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© 2023 The Society of Powder Technology Japan. Published by Elsevier B.V. and The Society of Powder Technology Japan. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Critical Quality Attributes (CQAs), Data Fusion, Multi-Sensors Technology, Powdered and Granule Products, Process Analytical Technology (PAT)
Dates:
  • Published: July 2023
  • Published (online): 2 May 2023
  • Accepted: 12 April 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 26 Jul 2023 10:05
Last Modified: 26 Jul 2023 10:05
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.apt.2023.104055
Open Archives Initiative ID (OAI ID):

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