| Description |
1 online resource : illustrations (chiefly color) |
| Series |
Advances in intelligent systems and computing ; volume 1411 |
|
Advances in intelligent systems and computing ; 1411.
|
| 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 |
| 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 |
| Notes |
Conference proceedings |
|
Includes author index |
|
Online resource; title from PDF title page (SpringerLink, viewed February 16, 2022) |
| Subject |
Data mining -- Congresses
|
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Machine learning -- Congresses
|
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Computational intelligence -- Congresses
|
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Computational intelligence
|
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Data mining
|
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Machine learning
|
| Genre/Form |
proceedings (reports)
|
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Conference papers and proceedings
|
|
Conference papers and proceedings.
|
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Actes de congrès.
|
| Form |
Electronic book
|
| Author |
Gupta, Gaurav, editor
|
|
Wang, Lipo, editor
|
|
Yadav, Anupam, editor
|
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Rana, Puneet, editor
|
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Wang, Zhenyu, editor
|
| ISBN |
9789811668876 |
|
9811668876 |
|
