Computational Intelligence for Engineering and Management Applications -

Computational Intelligence for Engineering and Management Applications (eBook)

Select Proceedings of CIEMA 2022
eBook Download: PDF
2023 | 2023
XXIII, 941 Seiten
Springer Nature Singapore (Verlag)
978-981-19-8493-8 (ISBN)
Systemvoraussetzungen
287,83 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

This book comprises select proceedings of the 1st International Conference on Computational Intelligence for Engineering and Management Applications (CIEMA - 2022). This book emphasizes applications of computational intelligence including machine intelligence, data analytics, and optimization algorithms for solving fundamental and advanced engineering and management problems. This book serves as a valuable resource for researchers, industry professionals, academicians, and doctoral scholars in engineering, production, thermal, materials, design, computer engineering, natural sciences, and management who work on computational intelligence. The book also serves researchers who are willing to use computational intelligence algorithms in real-time applications.



Dr. Prasenjit Chatterjee is currently a Professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKV Institute of Engineering, West Bengal, India. He has over 5400 citations with an h-index of 38 and 120 research papers in various international journals and peer reviewed conferences. He has authored and edited more than 30 books on intelligent decision-making, fuzzy computing, supply chain management, optimization techniques, risk management and sustainability modelling. He is the Editor-in-Chief of Journal of Decision Analytics and Intelligent Computing. He has also been the Guest Editor of several special issues in different SCIE / Scopus / ESCI (Clarivate Analytics) indexed journals. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods called Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI).

Dragan Pamucar is an Associate Professor at the University of Belgrade, Faculty of Organizational Sciences, Department of Operations Research and Statistics, Serbia. He received a Ph.D. in Applied Mathematics with a specialization in multi-criteria modeling and soft computing techniques, from the University of Defence in Belgrade, Serbia, in 2013 and a M.Sc. degree from the Faculty of Transport and Traffic Engineering in Belgrade in 2009. His research interest areas are computational intelligence, multi-criteria decision-making problems, neuro-fuzzy systems, fuzzy, rough, and intuitionistic fuzzy set theory, neutrosophic theory. He has authored/co-authored over 70 papers published in SCI-indexed international journals including experts' systems with applications, computational intelligence, computers, and industrial engineering technical gazette, sustainability, symmetry, water, etc.
 
Morteza Yazdani currently works at the Universidad Internacional de Valencia, Madrid. Before, he worked as an Assistant Professor at Universidad Autonoma de Madrid, ESIC University and Universidad Loyola Andalucia, Spain. He has also worked at the University of Toulouse and the European University of Madrid as a post-doctoral researcher. He participated in the editorial board of the International Journal of Production Management and Engineering and is Reviewer of several international journals such as Expert Systems with Applications, Journal of Cleaner Production, Soft Computing and Applied Soft Computing, etc. His main research areas are decision-making modeling and fuzzy decision system for humanitarian supply chain and energy systems. He has published over 50 research papers in high-impact journals and peer-reviewed conferences.
 
Dilbagh Panchal is an Assistant Professor (Grade-I) in the Department of Mechanical Engineering, National Institute of Technology Kurukshetra, Haryana, India. He works in reliability and maintenance engineering, fuzzy decision-making, supply chain management, and operation management. He obtained his Bachelor (Hons.) in Mechanical Engineering from Kurukshetra University, Kurukshetra, India, in 2007 and Master's in Manufacturing Technology in 2011 from Dr. B.R. Ambedkar National Institute of Technology Jalandhar, India. He has done his Ph.D. from the Indian Institute of Technology Roorkee, India, in 2016. He is presently supervising two Ph.D. scholars; five M. Tech dissertations have been guided by him, and two are in progress. He has published 25 research papers in SCI/Scopus-indexed journals. Five book chapters and one book have been also published by him under a reputed publisher. With this, six international conferences have been also attended by him. He also edited a book on advanced multi-criteria decision-making for addressing complex sustainability issues. He is currently a part of Associate Editors team of the International Journal of System Assurance and Engineering Management. He is currently serving as Active Reviewer of many reputed international journals.

This book comprises select proceedings of the 1st International Conference on Computational Intelligence for Engineering and Management Applications (CIEMA - 2022). This book emphasizes applications of computational intelligence including machine intelligence, data analytics, and optimization algorithms for solving fundamental and advanced engineering and management problems. This book serves as a valuable resource for researchers, industry professionals, academicians, and doctoral scholars in engineering, production, thermal, materials, design, computer engineering, natural sciences, and management who work on computational intelligence. The book also serves researchers who are willing to use computational intelligence algorithms in real-time applications.
Erscheint lt. Verlag 29.4.2023
Reihe/Serie Lecture Notes in Electrical Engineering
Lecture Notes in Electrical Engineering
Zusatzinfo XXIII, 941 p. 364 illus., 284 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Netzwerke
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Informatik Weitere Themen Hardware
Technik
Schlagworte Big Data Analytics • CIEMA 2022 • CIEMA Proceedings • Cloud Computing • Computational Intelligence • data analytics • machine intelligence • machine learning • Optimization • Quantum Computing
ISBN-10 981-19-8493-X / 981198493X
ISBN-13 978-981-19-8493-8 / 9789811984938
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 27,6 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
der Praxis-Guide für Künstliche Intelligenz in Unternehmen - Chancen …

von Thomas R. Köhler; Julia Finkeissen

eBook Download (2024)
Campus Verlag
38,99
Wie du KI richtig nutzt - schreiben, recherchieren, Bilder erstellen, …

von Rainer Hattenhauer

eBook Download (2023)
Rheinwerk Computing (Verlag)
17,43