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Recent Advances in Intelligent Manufacturing and Service Systems: Select Proceedings of Imss 2021

ISBN-13: 9789811671630 / Angielski / Miękka / 2021 / 132 str.

Sen, Zekai
Recent Advances in Intelligent Manufacturing and Service Systems: Select Proceedings of Imss 2021 Sen, Zekai 9789811671630 Springer Singapore - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Recent Advances in Intelligent Manufacturing and Service Systems: Select Proceedings of Imss 2021

ISBN-13: 9789811671630 / Angielski / Miękka / 2021 / 132 str.

Sen, Zekai
cena 1008,75
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This book comprises the proceedings of the 11th International Symposium on Intelligent Manufacturing and Service Systems 2021. The contents of this volume focus on recent technological advances in the field of artificial intelligence in manufacturing & service systems including 3D printing, augmented reality, bioinformatics, intelligence interaction, traffic flow analytics, medical informatics, distance healthcare, robotic systems, etc. This volume will prove a valuable resource for those in academia and industry.

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Industrial Engineering
Technology & Engineering > Industrial Design - Product
Computers > Artificial Intelligence - General
Wydawca:
Springer Singapore
Seria wydawnicza:
Lecture Notes in Mechanical Engineering
Język:
Angielski
ISBN-13:
9789811671630
Rok wydania:
2021
Ilość stron:
132
Waga:
0.19 kg
Wymiary:
23.39 x 15.6 x 0.71
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

Visual Feeding of Magnetic Cores for Winding Automation.- Effect of Build Orientation on Cross-Section Areas of Sliced Layers and Geometrical Accuracy in Selective Laser Melting.- Development of an Ontology for Defect Classification in Remanufacturing.- Mrı Image Analysis with Deep Learning Methods in Brain Tumor Diagnosis.- Determining the Priority Criteria for Personnel Selection with Fuzzy Dematel and Grey Based Dematel Approaches.- An Intelligent Psychiatric Recommendation System for Detecting Mental Disorders.- A Two-Echelon Pharmaceutical Supply Chain Optimization via Genetic Algorithm.- Meta-Heuristical Constrained Optimization Based on a Mechanical Design Problem.- A Case Study of Shape Optimization Using Grasshopper Optimization Algorithm.- Quality 4.0 in Research and Development.

Zekai Şen obtained B.Sc. and M.Sc. degrees from Technical University of İstanbul 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.


Ercan Öztemel graduated from the Department of Industrial Engineering, Sakarya Engineering Faculty at Istanbul Technical University in 1984. He completed his Master's degree at the Department of Industrial Engineering at Bosphorouos University in 1987 and his doctorate studies at the Department of Systems Engineering of the School of Electrical, Electronics and Systems Engineering at the University of Wales in England in 1992. Between 1993-2006, he worked as a faculty member at Sakarya University. From 1997 to 2010, he conducted research at the Western European Union Armaments Group (WEAG), served as a member of the Steering Commitee in Groups11 and 15, and as a Panel member of the System Analysis and Simulation (SAS) at NATO in 2001-2006. His research interests include artificial intelligence, intelligent manufacturing systems, management information systems, simulation and modeling, military simulation, simulators, strategic planning, and quality management.


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.

This book comprises the proceedings of the 11th International Symposium on Intelligent Manufacturing and Service Systems 2021. The contents of this volume focus on recent technological advances in the field of artificial intelligence in manufacturing & service systems including 3D printing, augmented reality, bioinformatics, intelligence interaction, traffic flow analytics, medical informatics, distance healthcare, robotic systems, etc. This volume will prove a valuable resource for those in academia and industry.



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