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| 008 |
220303 ||| eng |
| 020 |
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|a 9789811668876
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| 100 |
1 |
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|a Gupta, Gaurav
|e [editor]
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| 245 |
0 |
0 |
|a Proceedings of Academia-Industry Consortium for Data Science
|h Elektronische Ressource
|b AICDS 2020
|c edited by Gaurav Gupta, Lipo Wang, Anupam Yadav, Puneet Rana, Zhenyu Wang
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| 250 |
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|a 1st ed. 2022
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| 260 |
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|a Singapore
|b Springer Nature Singapore
|c 2022, 2022
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| 300 |
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|a XII, 418 p. 176 illus., 122 illus. in color
|b online resource
|
| 505 |
0 |
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|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
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| 653 |
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|a Machine learning
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| 653 |
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|a Artificial intelligence / Data processing
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| 653 |
|
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|a Machine Learning
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| 653 |
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|a Computational intelligence
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| 653 |
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|a Computational Intelligence
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| 653 |
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|a Natural Language Processing (NLP)
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| 653 |
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|a Natural language processing (Computer science)
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| 653 |
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|a Data Science
|
| 700 |
1 |
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|a Wang, Lipo
|e [editor]
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| 700 |
1 |
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|a Yadav, Anupam
|e [editor]
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| 700 |
1 |
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|a Rana, Puneet
|e [editor]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
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|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
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|a Advances in Intelligent Systems and Computing
|
| 028 |
5 |
0 |
|a 10.1007/978-981-16-6887-6
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-16-6887-6?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 006.3
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| 520 |
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|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
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