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Proceedings of the future technologies conference (FTC) 2020. Volume 2 / Kohei Arai, Supriya Kapoor, Rahul Bhatia, editors.
Format
Book
Language
English
Εdition
1st ed. 2021.
Published/Created
Cham, Switzerland : Springer, [2021]
2021
Description
1 online resource (XII, 1015 p. 523 illus., 390 illus. in color.)
Availability
Available Online
Springer Nature - Springer Intelligent Technologies and Robotics eBooks 2021 English International
Details
Subject(s)
Computer science
—
Technological innovations
—
Congresses
[Browse]
Editor
Arai, Kohei
[Browse]
Kapoor, Supriya
[Browse]
Bhatia, Rahul
[Browse]
Series
Advances in Intelligent Systems and Computing, 1289
[More in this series]
Advances in Intelligent Systems and Computing, 2194-5365 ; 1289
[More in this series]
Summary note
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. .
Source of description
Description based on print version record.
Contents
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.
ISBN
3-030-63089-7
Doi
10.1007/978-3-030-63089-8
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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