國立高雄大學圖資館 |

Language: English

Back

Proceedings of Academia-Industry Consortium for Data ScienceAICDS 2020 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of Academia-Industry Consortium for Data Scienceedited by Gaurav Gupta ... [et al.].
Reminder of title:	AICDS 2020 /
remainder title:	AICDS 2020
other author:	Gupta, Gaurav.
corporate name:
Published:	Singapore :Springer Singapore :2022.
Description:	xii, 418 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Data miningCongresses.
Online resource:	https://doi.org/10.1007/978-981-16-6887-6
ISBN:	9789811668876$q(electronic bk.)

Proceedings of Academia-Industry Consortium for Data ScienceAICDS 2020 /
Proceedings of Academia-Industry Consortium for Data ScienceAICDS 2020 /[electronic resource] :AICDS 2020edited by Gaurav Gupta ... [et al.]. - Singapore :Springer Singapore :2022. - xii, 418 p. :ill. (chiefly col.), digital ;24 cm. - Advances in intelligent systems and computing,v. 14112194-5365 ;. - Advances in intelligent systems and computing ;176..

Neural Artistic Style Transfer using Deep Neural Networks -- Choice Based One-Time Pad Approach Using Hybrid Cellular Automata -- Novel Imaging Approach for Mental Stress Detection using EEG Signals -- Classification of Fundus Images for Diabetic Retinopathy using Machine Learning: A Brief Review -- Wearable Sensor and Machine Learning Model based Fall Detection System for Safety of Elders and Movement Disorders.

This book gathers high-quality papers presented at Academia-Industry Consortium for Data Science (AICDS 2020), held in Wenzhou, China during 19 - 20 December 2020. The book presents views of academicians and also how companies are approaching these challenges organizationally. The topics covered in the book are data science and analytics, natural language processing, predictive analytics, artificial intelligence, machine learning, deep learning, big data computing, cognitive computing, data visualization, image processing, and optimization techniques.

ISBN: 9789811668876$q(electronic bk.)

Standard No.: 10.1007/978-981-16-6887-6doiSubjects--Topical Terms:

380776
Data mining
--Congresses.

LC Class. No.: QA76.9.D343 / A33 2020

Dewey Class. No.: 006.312

Proceedings of Academia-Industry Consortium for Data ScienceAICDS 2020 /
LDR:02144nmm a2200349 a 4500 001 619533
003 DE-He213
005 20220201154749.0
006 m d
007 cr nn 008maaau
008 221103s2022 si s 0 eng d
020 $a 9789811668876$q(electronic bk.)
020 $a 9789811668869$q(paper)
024 7 $a 10.1007/978-981-16-6887-6 $2 doi
035 $a 978-981-16-6887-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343 $b A33 2020
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b A168 2020
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Proceedings of Academia-Industry Consortium for Data Science $h [electronic resource] : $b AICDS 2020 / $c edited by Gaurav Gupta ... [et al.].
246 3 $a AICDS 2020
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2022.
300 $a xii, 418 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Advances in intelligent systems and computing, $x 2194-5365 ; $v v. 1411
505 0 $a Neural Artistic Style Transfer using Deep Neural Networks -- Choice Based One-Time Pad Approach Using Hybrid Cellular Automata -- Novel Imaging Approach for Mental Stress Detection using EEG Signals -- Classification of Fundus Images for Diabetic Retinopathy using Machine Learning: A Brief Review -- Wearable Sensor and Machine Learning Model based Fall Detection System for Safety of Elders and Movement Disorders.
520 $a This book gathers high-quality papers presented at Academia-Industry Consortium for Data Science (AICDS 2020), held in Wenzhou, China during 19 - 20 December 2020. The book presents views of academicians and also how companies are approaching these challenges organizationally. The topics covered in the book are data science and analytics, natural language processing, predictive analytics, artificial intelligence, machine learning, deep learning, big data computing, cognitive computing, data visualization, image processing, and optimization techniques.
650 0 $a Data mining $v Congresses. $3 380776
650 0 $a Machine learning $v Congresses. $3 384498
650 0 $a Computational intelligence $v Congresses. $3 384502
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Data Science. $3 913495
650 2 4 $a Natural Language Processing (NLP) $3 826373
650 2 4 $a Machine Learning. $3 833608
700 1 $a Gupta, Gaurav. $3 919817
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Advances in intelligent systems and computing ; $v 176. $3 567349
856 4 0 $u https://doi.org/10.1007/978-981-16-6887-6
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)