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Neural information processing27th In...

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Neural information processing27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020 : proceedings.Part IV /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Neural information processingedited by Haiqin Yang ... [et al.].
Reminder of title:	27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020 : proceedings.
remainder title:	ICONIP 2020
other author:	Yang, Haiqin.
corporate name:
Published:	Cham :Springer International Publishing :2020.
Description:	xxix, 844 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Neural networks (Computer science)
Online resource:	https://doi.org/10.1007/978-3-030-63820-7
ISBN:	9783030638207$q(electronic bk.)

Neural information processing27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020 : proceedings.Part IV /
Neural information processing27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020 : proceedings.Part IV /[electronic resource] :ICONIP 2020edited by Haiqin Yang ... [et al.]. - Cham :Springer International Publishing :2020. - xxix, 844 p. :ill., digital ;24 cm. - Communications in computer and information science,13321865-0929 ;. - Communications in computer and information science ;229..

Data Mining -- Healthcare Analytics-Improving Healthcare Outcomes using Big Data Analytics -- Human Activity Recognition -- Image Processing and Computer Vision -- Natural Language Processing -- Recommender Systems -- The 13th International Workshop on Artificial Intelligence and Cybersecurity.

The two-volume set CCIS 1332 and 1333 constitutes thoroughly refereed contributions presented at the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020.* For ICONIP 2020 a total of 378 papers was carefully reviewed and selected for publication out of 618 submissions. The 191 papers included in this volume set were organized in topical sections as follows: data mining; healthcare analytics-improving healthcare outcomes using big data analytics; human activity recognition; image processing and computer vision; natural language processing; recommender systems; the 13th international workshop on artificial intelligence and cybersecurity; computational intelligence; machine learning; neural network models; robotics and control; and time series analysis. * The conference was held virtually due to the COVID-19 pandemic.

ISBN: 9783030638207$q(electronic bk.)

Standard No.: 10.1007/978-3-030-63820-7doiSubjects--Topical Terms:

181982
Neural networks (Computer science)

LC Class. No.: Q337.5

Dewey Class. No.: 006.4

Neural information processing27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020 : proceedings.Part IV /
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490 1 $a Communications in computer and information science, $x 1865-0929 ; $v 1332
505 0 $a Data Mining -- Healthcare Analytics-Improving Healthcare Outcomes using Big Data Analytics -- Human Activity Recognition -- Image Processing and Computer Vision -- Natural Language Processing -- Recommender Systems -- The 13th International Workshop on Artificial Intelligence and Cybersecurity.
520 $a The two-volume set CCIS 1332 and 1333 constitutes thoroughly refereed contributions presented at the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020.* For ICONIP 2020 a total of 378 papers was carefully reviewed and selected for publication out of 618 submissions. The 191 papers included in this volume set were organized in topical sections as follows: data mining; healthcare analytics-improving healthcare outcomes using big data analytics; human activity recognition; image processing and computer vision; natural language processing; recommender systems; the 13th international workshop on artificial intelligence and cybersecurity; computational intelligence; machine learning; neural network models; robotics and control; and time series analysis. * The conference was held virtually due to the COVID-19 pandemic.
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