Brain‐computer interface : (Record no. 29803)

MARC details
000 -LEADER
fixed length control field 02869nam a22003017a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250513144239.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250513b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119857655
024 ## - OTHER STANDARD IDENTIFIER
Source of number or code doi
Standard number or code 10.1002/9781119857655
040 ## - CATALOGING SOURCE
Original cataloging agency TUPM
Language of cataloging eng
Transcribing agency TUPM
Modifying agency TUPM
Description conventions rda
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name M.G. Sumithra.
Relator term editor.
245 ## - 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.
Medium ebook
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Scrivener Publishing LLC,
Date of publication, distribution, etc. 2023.
336 ## - CONTENT TYPE
Source rdacontent
337 ## - MEDIA TYPE
Source rdamedia
338 ## - CARRIER TYPE
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographic references and index.
520 ## - SUMMARY, ETC.
Summary, etc. BRAIN-COMPUTER INTERFACE<br/>It covers all the research prospects and recent advancements in the brain-computer interface using deep learning.<br/><br/>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.<br/><br/>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).<br/><br/>Audience<br/><br/>Researchers and industrialists working in brain-computer interface, deep learning, machine learning, medical image processing, data scientists and analysts, machine learning engineers, electrical engineering, and information technologists.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Ebook
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Brain-computer interface
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Dhanaraj, Rajesh Kumar.
Relator term editor.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Milanova, Mariofanna.
Relator term editor.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Balusamy, Balamurugan.
Relator term editor.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Venkatesan, Chandran.
Relator term editor.
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://onlinelibrary.wiley.com/doi/book/10.1002/9781119857655">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119857655</a>
Link text Wiley Online Library
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Reference
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Inventory number Total checkouts Date last seen Uniform resource identifier Price effective from Koha item type
    Library of Congress Classification     TUP Manila Library TUP Manila Library 05/13/2025 00021eb   05/13/2025 https://onlinelibrary.wiley.com/doi/book/10.1002/9781119857655 05/13/2025 Reference



© 2025 Technological University of the Philippines.
All Rights Reserved.

Powered by Koha