Advances in Intelligent Manufacturing and Service System Informatics

Proceedings of IMSS 2023

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Éditeur :

Springer


Paru le : 2023-10-01



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Description

This book comprises the proceedings of the 12th International Symposium on Intelligent Manufacturing and Service Systems 2023. The contents of this volume focus on recent technological advances in the field of artificial intelligence in manufacturing & service systems including machine learning, autonomous control, bioinformatics, human-artificial intelligence interaction, digital twin, robotic systems, sybersecurity, etc. This volume will prove a valuable resource for those in academia and industry.
Pages
813 pages
Collection
n.c
Parution
2023-10-01
Marque
Springer
EAN papier
9789819960613
EAN PDF
9789819960620

Informations sur l'ebook
Nombre pages copiables
8
Nombre pages imprimables
81
Taille du fichier
72192 Ko
Prix
220,49 €
EAN EPUB
9789819960620

Informations sur l'ebook
Nombre pages copiables
8
Nombre pages imprimables
81
Taille du fichier
127437 Ko
Prix
220,49 €

Zekai Sen obtained B.Sc. and M.Sc. degrees from Technical University of Istanbul in 1971. His post-graduate studies were carried out at the University of London, Imperial College of Science and Technology. He was granted Diploma of Imperial College (D.I.C) and M.Sc. in Engineering Hydrology in 1972 and Ph.D. in Stochastic Hydrology in 1974. He has worked in different faculties as the head of department such as the Faculty of Earth Sciences, Hydrogeology Department; Faculty of Astronautics and Aeronautics, Meteorology Department. His main interests are hydrology, water resources, hydrogeology, hydrometeorology, hydraulics, science philosophy and history. He has published numerous papers in journals of national and international repute. 

Dr. Özer Uygun received the B.Sc., M.Sc., and Ph.D. degrees in industrial engineering from Sakarya University, Turkey, in 1999, 2002, and 2008, respectively. He started his academic position at Marmara University and worked as aLecturer from 2000 to 2003. Then, he was a Research Assistant at Sakarya University from 2003 to 2008, where he is currently an Associate Professor. He was a Researcher in the EU FP6 Network of Excellence (I*PROMS: 2004 2009) and FP6 STREP Project (IWARD: 2007 2009). He successfully completed the EFQM Assessor Training in Brussels in 2015. His research interests are Operations Research, Optimization, Decision Making, Multi-criteria Decision Making, and Artificial Intelligence. 

Caner Erden is an assistant professor at the Faculty of Applied Sciences, Sakarya University of Applied Sciences, Turkey. He received his Ph.D. in industrial engineering from Natural Science Institute Industrial Engineering Department, Sakarya University, Turkey. His main research interests include scheduling, discrete event simulation, meta-heuristic algorithms, modelling and optimization, decision-making under uncertainty, machine learning and resource allocation and rough sets.

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