Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy -

Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (eBook)

Proceedings of the Third International Conference, MMCITRE 2022
eBook Download: PDF
2023 | 1st ed. 2023
XIII, 484 Seiten
Springer Nature Singapore (Verlag)
978-981-19-9906-2 (ISBN)
Systemvoraussetzungen
255,73 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen
The book is a collection of best selected research papers presented at the Third International Conference on 'Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2022),' organized by the University of Technology Sydney, Australia, in association with the Department of Mathematics, Pandit Deendayal Energy University, India, and Forum for Interdisciplinary Mathematics. This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, applications of fuzzy sets and intelligent computing. The book provides innovative works of researchers, academicians and students in the area of interdisciplinary mathematics, statistics, computational intelligence and renewable energy.

Dr. Manoj Sahni is a dedicated and experienced Mathematics teacher and researcher with more than 18 years of experience and currently serving as an Associate Professor and the head of the Department of Mathematics, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India. He has published more than 70 research papers in peer-reviewed journals, conference proceedings and book chapters with reputed publishers like Springer, Elsevier, etc. He also serves as an advisory board member, a technical Committee member and a reviewer for many international journals of repute. He organized the 1st and 2nd International Conferences on Mathematical Modeling, Computational Techniques, and Renewable Energy on February 21-23, 2020, and February 06-08, 2021, respectively. He has organized many seminars, workshops, and short-term training programs at PDEU and various other universities. In addition, he is a member of many international professional societies, including the American Mathematical Society, Forum for Interdisciplinary Mathematics, IAENG and many more.

Prof. José M. Merigó Lindahl is a professor in the School of Information, Systems and Modelling at the Faculty of Engineering and Information Technology at the University of Technology Sydney (Australia) and a part-time full professor in the Department of Management Control and Information Systems at the School of Economics and Business at the University of Chile. He holds master's and Ph.D. degrees in Business Administration from the University of Barcelona. He also holds B.Sc. and M.Sc. degrees from Lund University (Sweden). He has published more than 500 articles in journals, books and conference proceedings, including journals such as Information Sciences, IEEE Computational Intelligence Magazine, European Journal of Operational Research. He has also published several books with Springer and with World Scientific. Recently, Thomson and Reuters (Clarivate Analytics) have distinguished him as a highly cited researcher in Computer Science (2015-present).

Dr. Walayat Hussain is a professional academic, a researcher and a practitioner in computer science and information system with over 15 years of academic and industry experience. He worked as a lecturer with the Faculty of Engineering and IT, University of Technology Sydney, Australia, for four years. Walayat's research areas are Computational Intelligence, Soft Computing, Forecasting, Cloud Computing, SLA Management and Decision Support System. His work has been published in different top-ranked reputable journals and conferences such as Future Generation Computer Systems, The Computer Journal (Oxford University), Information Systems, Computer & Industrial Engineering, IEEE Access, Journal of Ambient Intelligence and Humanized Computing, MONET, IEEE TGCN, IEEE TETCI, IJCS, FUZZ- IEEE, ICONIP. He is the associate editor of IET- Communications, an international journal, and has been a guest editor for several other international journals such as-Computer Networks, Forecasting, IEEE TETCI, WCMC, IJCS.

Dr. Ernesto León-Castro is a full professor at Universidad Autonoma of Baja California (Mexico) and an adjunct research professor at Universidad Católica de la Santísima Concepcion (Chile). He has Ph.D. in Management from University of Occidente. He also has a M.Sc. in Management from University of Occidente and another one in Laws from University Autonoma de Sinaloa. His interest in research is in aggregation operators, decision making, finance, economics, computational intelligence and other related topics. He has published many papers in different journals, books and proceedings, including journals such as Applied Soft Computing, Technological and Economic Development of Economy, International Journal of Intelligent Systems, International Journal of Machine Learning and Cybernetics and Economic Computation and Economic Cybernetics Studies and Research. Also, he has been the guest editor in Special Issues in Technological and Economic Development of Economy, Journal of Intelligent and Fuzzy Systems, Computational and Mathematical Organization Theory and Springer Book Series.

Dr. Rajkumar Verma received a M.Sc. degree in mathematics from Chaudhary Charan Singh University, Meerut (U.P.), India, in 2006 and a Ph.D. degree in applied mathematics with a specialty in information theory and computational intelligence techniques from Jaypee Institute of Information Technology (Deemed University), Noida (U.P.), India, in 2014. He has authored over 70 research articles published in refereed international journals, including the International Journal of Intelligent Systems, Kybernetika, Journal of Intelligent and Fuzzy Systems, International Journal of Machine Learning and Cybernetics, Neural Computing and Applications, Informatica, Soft Computing, Cybernetics and Systems, Iranian Journal of Fuzzy Systems, Granular Computing, Applied Intelligence Review. Dr. Verma has also been a member of the scientific advisory committee of several international conferences and a reviewer in a wide range of refereed international journals. He is currently interested in information measures, aggregation operators, multiple attribute group decision making, computational intelligence techniques and computing with words.

Dr. Ritu Sahni is a dedicated and experienced Mathematics teacher and a researcher with more than 15 years who is actively involved with both undergraduate and postgraduate-level students. Presently, she is working as a visiting faculty at Pandit Deendayal Energy University, Gandhinagar, Gujarat, India. She worked with her students on various research-related problems and published their work in reputed journals such as Elsevier, Springer. She has published more than 40 research papers in peer-reviewed SCI, ESCI and Scopus indexed international journals and conferences. She has delivered talks and presented many research articles in various international conferences in India and abroad. Her research field includes Fixed Point Theory and its Applications, Numerical Methods, Fuzzy Decision-Making Systems and other allied areas. She is a devoted faculty member, a committed researcher, and enthusiastic about striving to improve the institution's educational offerings and research fields for societal growth.

The book is a collection of best selected research papers presented at the Third International Conference on "e;Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2022),"e; organized by the University of Technology Sydney, Australia, in association with the Department of Mathematics, Pandit Deendayal Energy University, India, and Forum for Interdisciplinary Mathematics. This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, applications of fuzzy sets and intelligent computing. The book provides innovative works of researchers, academicians and students in the area of interdisciplinary mathematics, statistics, computational intelligence and renewable energy.
Erscheint lt. Verlag 8.5.2023
Reihe/Serie Advances in Intelligent Systems and Computing
Advances in Intelligent Systems and Computing
Zusatzinfo XIII, 484 p. 182 illus., 136 illus. in color.
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Schlagworte Artificial Intelligence • computational intelligence techniques • Continuum Mechanics • Decision Making and Expert Systems • Differential Equations and its Applications • machine learning • MMCITRE 2022 Proceedings • Neural networks
ISBN-10 981-19-9906-6 / 9811999066
ISBN-13 978-981-19-9906-2 / 9789811999062
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 21,9 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