Proceedings of Academia-Industry Consortium for Data Science : AICDS 2020 / Gaurav Gupta, Lipo Wang, Anupam Yadav, Puneet Rana, Zhenyu Wang, editors.
2022
QA76.9.D343 A33 2020
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Details
Title
Proceedings of Academia-Industry Consortium for Data Science : AICDS 2020 / Gaurav Gupta, Lipo Wang, Anupam Yadav, Puneet Rana, Zhenyu Wang, editors.
ISBN
9789811668876 (electronic bk.)
9811668876 (electronic bk.)
9789811668869
9811668868
9811668876 (electronic bk.)
9789811668869
9811668868
Published
Singapore : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (chiefly color).
Item Number
10.1007/978-981-16-6887-6 doi
Call Number
QA76.9.D343 A33 2020
Dewey Decimal Classification
006.3/12
Summary
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.
Note
Conference proceedings.
Includes author index.
Includes author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 16, 2022).
Added Author
Gupta, Gaurav, editor.
Wang, Lipo, editor.
Yadav, Anupam, editor.
Rana, Puneet, editor.
Wang, Zhenyu, editor.
Wang, Lipo, editor.
Yadav, Anupam, editor.
Rana, Puneet, editor.
Wang, Zhenyu, editor.
Series
Advances in intelligent systems and computing ; 1411.
Available in Other Form
Print version: 9789811668869
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Online Access
Record Appears in
Online Resources > Ebooks
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Table of Contents
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.
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.