Merkliste
Die Merkliste ist leer.
Der Warenkorb ist leer.
Kostenloser Versand möglich
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.
Machine Vision for Industry 4.0
ISBN/GTIN

Machine Vision for Industry 4.0

Applications and Case Studies
E-BookEPUBE-Book
Verkaufsrang202156in
CHF80.60

Beschreibung

This book discusses the use of machine vision and technologies in specific engineering case studies and focuses on how machine vision techniques are impacting every step of industrial processes and how smart sensors and cognitive big data analytics are supporting the automation processes in Industry 4.0 applications.
Weitere Beschreibungen

Details

Weitere ISBN/GTIN9781000518238
ProduktartE-Book
EinbandE-Book
FormatEPUB
Erscheinungsdatum22.03.2022
Auflage22001 A. 1. Auflage
Seiten322 Seiten
SpracheEnglisch
Dateigrösse14245 Kbytes
Illustrationen124 schwarz-weiße Abbildungen, 35 schwarz-weiße Fotos, 89 schwarz-weiße Zeichnungen, 42 schwarz-weiße Tabellen
Artikel-Nr.17807989
KatalogVC
Datenquelle-Nr.3274587
Weitere Details

Autor

Dr. Roshani Raut is an Associate Professor in the Department of Information Technology and also handling the charge of Associate Dean International Relations at Pimpri Chinchwad College of Engineering, Pune, India. She completed her doctorate in computer science and engineering. She has more than 17 years of experience and is a member of ACM and ISTE. She has availed the research and workshop grants from BCUD, Pune University. She has presented more than 70 research communications in national and international conferences and journals and published 15 patents. She has been invited as a TPC member and session chair for various national and international conferences. She has served as editor for various books of IGI Global, CRC Press/Taylor & Francis, and Scrivener Wiley, etc. Her research area includes Artificial Intelligence, Machine Learning, Data Mining, Deep Learning, Internet of Things, and so on. Her details are available on https://roshaniraut531.wixsite.com/roshaniraut/

Dr. Salah-ddine Krit is an Associate Professor at the Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University Agadir Morocco, He is currently the Director of Engineering Science and Energies Laboratory and the Chief of the Department of Mathematics, Informatics and Management. He received his PhD in software engineering from Sidi Mohammed Ben Abdellah University, Fez, Morroco. He worked as an Engineer Team Leader in audio and power management integrated circuits research, design, simulation and layout of analog and digital blocks dedicated for mobile and satellite communication systems. He has authored and co-authored over 130 journal articles, proceedings, and book chapters published by reputable publishers.

Dr. Prasenjit Chatterjee is an Associate Professor of Mechanical Engineering Department at the MCKV Institute of Engineering, India. He has published over 80 research papers in various international journals and has received numerous awards including Outstanding Researcher Award and University Gold Medal. He has been the guest editor of several special issues and has edited and authored several books on decision-making approaches and sustainability. He is the Lead Series Editor of International Perspectives on Decision Analysis and Operations Research, Emerald Group Publishing. Dr. Chatterjee is one of the developers of a new data-driven multiple-criteria decision-making method called Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS).

Weitere Produkte von Chatterjee, Prasenjit

Hrsg.