Proceedings of the Future Technologies Conference (FTC) 2020. Volume 1 / Kohei Arai, Supriya Kapoor, Rahul Bhatia, editors.
2021
QA75.5 .F88 2020
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Can lend chapters, not whole ebooks
Details
Title
Proceedings of the Future Technologies Conference (FTC) 2020. Volume 1 / Kohei Arai, Supriya Kapoor, Rahul Bhatia, editors.
Meeting Name
ISBN
9783030631284 (electronic book)
3030631281 (electronic book)
9783030630928 (electronic book)
3030630927 (electronic book)
3030631273
9783030631277
9783030631291 (print)
303063129X
9783030631277
9783030630911
3030631281 (electronic book)
9783030630928 (electronic book)
3030630927 (electronic book)
3030631273
9783030631277
9783030631291 (print)
303063129X
9783030631277
9783030630911
Published
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource
Item Number
10.1007/978-3-030-63128-4 doi
Call Number
QA75.5 .F88 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 index.
Access Note
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 ; 1288.
Linked Resources
Record Appears in
Table of Contents
Predicting Intrusiveness of Android Apps by Applying LSTM Networks on their Descriptions
Multimodel Sentiment Analysis with Self-Attention
AI as Co-Workers: An Explorative Research on Technology Acceptance based on the Revised Bloom Taxonomy
A Novel Chattering Reduction in the Sliding Mode Control of Robot Control.
Multimodel Sentiment Analysis with Self-Attention
AI as Co-Workers: An Explorative Research on Technology Acceptance based on the Revised Bloom Taxonomy
A Novel Chattering Reduction in the Sliding Mode Control of Robot Control.