東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

XLVII Mexican Conference on Biomedic...

Mexican Conference on Biomedical Engineering (2024 :)

Linked to FindBook

Google Book

Amazon

博客來

XLVII Mexican Conference on Biomedical Engineering = Proceedings of CNIB 2024, November 7-9, 2024, Hermosillo, Sonora, México.. Volume 1,. Signal processing and bioinformatics /

Record Type:	Electronic resources : Monograph/item
Title/Author:	XLVII Mexican Conference on Biomedical Engineering/ edited by José de Jesús Agustín Flores Cuautle ... [et al.].
Reminder of title:	Proceedings of CNIB 2024, November 7-9, 2024, Hermosillo, Sonora, México.
remainder title:	CNIB 2024
other author:	Flores Cuautle, José de Jesús Agustín.
corporate name:	Mexican Conference on Biomedical Engineering
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xviii, 473 p. :ill., digital ;24 cm.
[NT 15003449]:	ML Design in Handwriting Analysis for Prediction of Alzheimer's Disease -- Machine learning for classification of electrooculography signals in the detection of visual fatigue syndrome -- Machine Learning Techniques for Classifying Cardiac Arrhythmias -- A Machine Learning approach to breast cancer detection in mammograms.
Contained By:	Springer Nature eBook
Subject:	Biomedical engineering - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-82123-3
ISBN:	9783031821233

XLVII Mexican Conference on Biomedical Engineering = Proceedings of CNIB 2024, November 7-9, 2024, Hermosillo, Sonora, México.. Volume 1,. Signal processing and bioinformatics /
XLVII Mexican Conference on Biomedical EngineeringProceedings of CNIB 2024, November 7-9, 2024, Hermosillo, Sonora, México.Volume 1,Signal processing and bioinformatics /[electronic resource] :CNIB 2024edited by José de Jesús Agustín Flores Cuautle ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xviii, 473 p. :ill., digital ;24 cm. - IFMBE proceedings,1161433-9277 ;. - IFMBE proceedings ;116..

ML Design in Handwriting Analysis for Prediction of Alzheimer's Disease -- Machine learning for classification of electrooculography signals in the detection of visual fatigue syndrome -- Machine Learning Techniques for Classifying Cardiac Arrhythmias -- A Machine Learning approach to breast cancer detection in mammograms.

This book reports on cutting-edge research and best practices in the broad field of biomedical engineering. Based on the XLVII Mexican Conference on Biomedical Engineering, CNIB 2024, held on November 7-9, 2024 in Hermosillo, Sonora, México, this first volume of the proceedings covers research topics in biomedical signal processing, computational biology and prosthetics, with applications of artificial intelligence for medical diagnosis, behavioral studies and more. All in all, this book provides a timely snapshot on state-of-the-art achievements in biomedical engineering and current challenges in the field. It addresses both researchers and professionals, and it is expected to foster future collaborations between the two groups, as well as international collaborations.

ISBN: 9783031821233

Standard No.: 10.1007/978-3-031-82123-3doiSubjects--Topical Terms:

700709
Biomedical engineering
--Congresses.

LC Class. No.: R856.A2 / M49 2024

Dewey Class. No.: 610.28

XLVII Mexican Conference on Biomedical Engineering = Proceedings of CNIB 2024, November 7-9, 2024, Hermosillo, Sonora, México.. Volume 1,. Signal processing and bioinformatics /
LDR:02378nmm a2200361 a 4500 001 2408395
003 DE-He213
005 20250104115227.0
006 m o d
007 cr nn 008maaau
008 260204s2025 sz s 0 eng d
020 $a 9783031821233 $q (electronic bk.)
020 $a 9783031821226 $q (paper)
024 7 $a 10.1007/978-3-031-82123-3 $2 doi
035 $a 978-3-031-82123-3
040 $a GP $c GP
041 0 $a eng
050 4 $a R856.A2 $b M49 2024
072 7 $a MQW $2 bicssc
072 7 $a TEC059000 $2 bisacsh
072 7 $a MQW $2 thema
082 0 4 $a 610.28 $2 23
090 $a R856.A2 $b M611 2024
111 2 $a Mexican Conference on Biomedical Engineering $n (47th : $d 2024 : $c Hermosillo, Mexico) $3 3780871
245 1 0 $a XLVII Mexican Conference on Biomedical Engineering $h [electronic resource] : $b Proceedings of CNIB 2024, November 7-9, 2024, Hermosillo, Sonora, México. $n Volume 1, $p Signal processing and bioinformatics / $c edited by José de Jesús Agustín Flores Cuautle ... [et al.].
246 3 $a CNIB 2024
246 3 0 $a Signal processing and bioinformatics
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xviii, 473 p. : $b ill., digital ; $c 24 cm.
490 1 $a IFMBE proceedings, $x 1433-9277 ; $v 116
505 0 $a ML Design in Handwriting Analysis for Prediction of Alzheimer's Disease -- Machine learning for classification of electrooculography signals in the detection of visual fatigue syndrome -- Machine Learning Techniques for Classifying Cardiac Arrhythmias -- A Machine Learning approach to breast cancer detection in mammograms.
520 $a This book reports on cutting-edge research and best practices in the broad field of biomedical engineering. Based on the XLVII Mexican Conference on Biomedical Engineering, CNIB 2024, held on November 7-9, 2024 in Hermosillo, Sonora, México, this first volume of the proceedings covers research topics in biomedical signal processing, computational biology and prosthetics, with applications of artificial intelligence for medical diagnosis, behavioral studies and more. All in all, this book provides a timely snapshot on state-of-the-art achievements in biomedical engineering and current challenges in the field. It addresses both researchers and professionals, and it is expected to foster future collaborations between the two groups, as well as international collaborations.
650 0 $a Biomedical engineering $x Congresses. $3 700709
650 1 4 $a Medical and Health Technologies. $3 3595637
650 2 4 $a Health Informatics. $3 892928
650 2 4 $a Signal, Speech and Image Processing. $3 3592727
700 1 $a Flores Cuautle, José de Jesús Agustín. $3 3711450
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a IFMBE proceedings ; $v 116. $3 3780880
856 4 0 $u https://doi.org/10.1007/978-3-031-82123-3
950 $a Engineering (SpringerNature-11647)