Proceedings of the Future Technologies Conference (FTC) 2020. Volume 2 / Kohei Arai, Supriya Kapoor, Rahul Bhatia, editors.
2021
QA75.5 .F882 2020
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Details
Title
Proceedings of the Future Technologies Conference (FTC) 2020. Volume 2 / Kohei Arai, Supriya Kapoor, Rahul Bhatia, editors.
Meeting Name
Future Technologies Conference (2020 : Online)
ISBN
9783030630898 (electronic book)
3030630897 (electronic book)
9783030630904 (print)
3030630900
3030630889
9783030630881
3030630897 (electronic book)
9783030630904 (print)
3030630900
3030630889
9783030630881
Published
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource
Item Number
10.1007/978-3-030-63089-8 doi
Call Number
QA75.5 .F882 2020
Dewey Decimal Classification
004
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and author index.
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Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from digital title page (viewed on January 04, 2021).
Series
Advances in intelligent systems and computing ; 1289.
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Table of 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.
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.