Brain-computer interface : (Record no. 94152)

000 -LEADER
fixed length control field 14913cam a22006137i 4500
001 - CONTROL NUMBER
control field 14169051
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260205102952.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu---unuuu
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fixed length control field 260205t2023nju o 001 0 eng d
015 ## - NATIONAL BIBLIOGRAPHY NUMBER
National bibliography number GBC345800
Source bnb
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER
Record control number 020973872
Source Uk
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119857204
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119857655
Qualifying information electronic book
-- oBook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119857651
Qualifying information electronic book
-- oBook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119857648
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119857643
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119857759
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119857754
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781119857204
Qualifying information hardback
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1002/9781119857655
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1370251145
Canceled/invalid control number (OCoLC)1493360514
035 #9 - SYSTEM CONTROL NUMBER
System control number (OCLCCM-Owned)1370251145
037 ## - SOURCE OF ACQUISITION
Stock number 9781119857754
Source of stock number/acquisition Wiley, US
037 ## - SOURCE OF ACQUISITION
Stock number 10950269
Source of stock number/acquisition IEEE
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng.
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QP360.7
Item number .B73 2023
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 616.8047547
245 00 - TITLE STATEMENT
Title Brain-computer interface :
Remainder of title using deep learning applications /
Statement of responsibility, etc edited by M.G. Sumithra, Rajesh Kumar Dhanaraj, Mariofanna Milanova, Balamurugan Balusamy and Chandran Venkatesan.
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, NJ :
Name of publisher, distributor, etc Wiley ;
Place of publication, distribution, etc Beverly, MA :
Name of publisher, distributor, etc Scrivener Publishing,
Date of publication, distribution, etc 2023.
264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc ©2023
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc The brain-computer interface (BCI) is an emerging technology that is developing to be more functional in practice. The aim is to establish, through experiences with electronic devices, a communication channel bridging the human neural networks within the brain to the external world. For example, creating communication or control applications for locked-in patients who have no control over their bodies will be one such use. Recently, from communication to marketing, recovery, care, mental state monitoring, and entertainment, the possible application areas have been expanding. Machine learning algorithms have advanced BCI technology in the last few decades, and in the sense of classification accuracy, performance standards have been greatly improved. For BCI to be effective in the real world, however, some problems remain to be solved. Research focusing on deep learning is anticipated to bring solutions in this regard. Deep learning has been applied in various fields such as computer vision and natural language processing, along with BCI growth, outperforming conventional approaches to machine learning. As a result, a significant number of researchers have shown interest in deep learning in engineering, technology, and other industries; convolutional neural network (CNN), recurrent neural network (RNN), and generative adversarial network (GAN).
545 0# - BIOGRAPHICAL OR HISTORICAL DATA
Biographical or historical note About the Author<br/>M. G. Sumithra, PhD, is a professor at Anna University Chennai, India. With 25 years of teaching experience, she has published more than 70 technical papers in refereed journals, 3 book chapters, and 130 research papers in national and international conferences. She is a Nvidia Deep Learning Institute Certified Instructor for "Computer Vision".<br/><br/>Rajesh Kumar Dhanaraj, PhD, is a professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, India. He has contributed around 25 authored and edited books on various technologies, 17 patents, and more than 40 articles and papers in various refereed journals and international conferences. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE).<br/><br/>Mariofanna Milanova, PhD, is a professor in the Department of Computer Science at the University of Arkansas, Little Rock, USA. She is an IEEE Senior Member and Nvidia’s Deep Learning Institute University Ambassador. She has published more than 120 publications, more than 53 journal papers, 35 book chapters, and numerous conference papers. She also has two patents.<br/><br/>Balamurugan Balusamy, PhD, is a professor in the School of Computing Science and Engineering, Galgotias University, Greater Noida, India. He is a Pioneer Researcher in the areas of big data and IoT and has published more than 70 articles in various top international journals.<br/><br/>V. Chandran holds an M.E degree in VLSI Design from Government College of Technology, Coimbatore, and is a Nvidia Certified Instructor for Deep learning for Computer Vision.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on online resource; title from digital title page (viewed on April 25, 2023).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Brain-computer interfaces.
Authority record control number http://id.loc.gov/authorities/subjects/sh2007000197
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Deep learning (Machine learning).
Authority record control number http://id.loc.gov/authorities/subjects/sh2021006947
650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Deep Learning.
Authority record control number https://id.nlm.nih.gov/mesh/D000077321
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sumithra, M. G.,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dhanaraj, Rajesh Kumar,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Milanova, Mariofanna,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Balusamy, Balamurugan,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Venkatesan, Chandran,
Relator term editor.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://onlinelibrary.wiley.com/doi/book/10.1002/9781119857655
Link text Full text is available at Wiley Online Library. Click here to view
942 ## - ADDED ENTRY ELEMENTS
Source of classification or shelving scheme
Item type EBOOK
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Date acquired Source of acquisition Inventory number Full call number Barcode Date last seen Price effective from Item type
          COLLEGE LIBRARY COLLEGE LIBRARY 2026-02-05 Megatexts Phil. Inc. 55078 616.8047547 Su62 2023 CL-55078 2026-02-05 2026-02-05 EBOOK