Proceedings of the Future Technologies Conference (FTC) 2020. Volume 3 / Kohei Arai, Supriya Kapoor, Rahul Bhatia, editors.
2021
QA75.5 .F8823 2020
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Title
Proceedings of the Future Technologies Conference (FTC) 2020. Volume 3 / Kohei Arai, Supriya Kapoor, Rahul Bhatia, editors.
Meeting Name
ISBN
9783030630928 (electronic bk.)
3030630927 (electronic bk.)
3030630919
9783030630911
9783030630935 (print)
3030630935
9783030630911
3030630927 (electronic bk.)
3030630919
9783030630911
9783030630935 (print)
3030630935
9783030630911
Published
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource
Item Number
10.1007/978-3-030-63092-8 doi
Call Number
QA75.5 .F8823 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.
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 ; 1290.
Available in Other Form
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Table of Contents
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Usability Evaluation of Low-Cost Smart Pill Dispenser by Health Care Practitioners
Dynamic Causality Knowledge Graph Generation for Supporting the Chatbot Healthcare System
Healthcare Emergency Room Optimization using a Process Learning Algorithm.
Usability Evaluation of Low-Cost Smart Pill Dispenser by Health Care Practitioners
Dynamic Causality Knowledge Graph Generation for Supporting the Chatbot Healthcare System
Healthcare Emergency Room Optimization using a Process Learning Algorithm.