Arai / Bhatia / Kapoor | Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2 | Buch | 978-3-030-63088-1 | sack.de

Buch, Englisch, Band 1289, 1015 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1521 g

Reihe: Advances in Intelligent Systems and Computing

Arai / Bhatia / Kapoor

Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2


1. Auflage 2021
ISBN: 978-3-030-63088-1
Verlag: Springer International Publishing

Buch, Englisch, Band 1289, 1015 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1521 g

Reihe: Advances in Intelligent Systems and Computing

ISBN: 978-3-030-63088-1
Verlag: Springer International Publishing


This book provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research.

The fifth 2020 Future Technologies Conference was organized virtually and received a total of 590 submissions from academic pioneering researchers, scientists, industrial engineers, and students from all over the world. The submitted papers covered a wide range of important topics including but not limited to computing, electronics, artificial intelligence, robotics, security and communications and their applications to the real world. After a double-blind peer review process, 210 submissions (including 6 poster papers) have been selected to be included in these proceedings.

One of the meaningful and valuable dimensions of this conference is the way it brings together a large group of technology geniuses in one venue to not only present breakthrough research in future technologies, but also to promote discussions and debate of relevant issues, challenges, opportunities and research findings. The authors hope that readers find the book interesting, exciting and inspiring.

Arai / Bhatia / Kapoor Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2 jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


A Generic Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-Based Metaheuristics.- A Lightweight Association Rules based Prediction Algorithm (LWRCCAR) for Context-Aware Systems in IoT Ubiquitous, Fog, and Edge Computing Environment.- Analytical View on Non-Invasive Measurement of Moving Charge by Position Dependent Semiconductor Qubit



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