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Proceedings of Academia-Industry Con...

Academia-Industry Consortium for Data Science ((2020 :)

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Proceedings of Academia-Industry Consortium for Data Science = AICDS 2020 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Proceedings of Academia-Industry Consortium for Data Science/ edited by Gaurav Gupta ... [et al.].
其他題名:	AICDS 2020 /
其他題名:	AICDS 2020
其他作者:	Gupta, Gaurav.
團體作者:	Academia-Industry Consortium for Data Science
出版者:	Singapore :Springer Singapore : : 2022.,
面頁冊數:	xii, 418 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Data mining - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-16-6887-6
ISBN:	9789811668876

Proceedings of Academia-Industry Consortium for Data Science = AICDS 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 ;v. 1411..

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

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

551626
Data mining
--Congresses.

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

Dewey Class. No.: 006.312

Proceedings of Academia-Industry Consortium for Data Science = AICDS 2020 /
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