Advances in Machine Learning/Deep Learning-based Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis – Vol. 2

Author:   George A. Tsihrintzis ,  Maria Virvou ,  Lakhmi C. Jain
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Volume:   23
ISBN:  

9783030767938


Pages:   224
Publication Date:   07 August 2021
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Advances in Machine Learning/Deep Learning-based Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis – Vol. 2


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Author:   George A. Tsihrintzis ,  Maria Virvou ,  Lakhmi C. Jain
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Volume:   23
Weight:   0.541kg
ISBN:  

9783030767938


ISBN 10:   3030767930
Pages:   224
Publication Date:   07 August 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Part I: Machine Learning/Deep Learning in Socializing and Entertainment.- Part II: Machine Learning/Deep Learning in.- Part III: Machine Learning/Deep Learning in Security.- Part IV: Machine Learning/Deep Learning in Time Series Forecasting.- Part V: Machine Learning in Video Coding and Information Extraction.

Reviews

“The trilogy is useful to either the specialized researcher seeking information on specific sub areas within these disciplines or the newcomer who seeks to get involved in these disciplines. … I warmly congratulate the editors for their superb work. I highly and wholeheartedly recommend the trilogy to professors, graduate students, practitioners and other specialists in artificial intelligence-based technologies and assistive technologies, and to general readers, all of whom, I am sure, will benefit greatly from it in their research endeavor.” (Du Zhang, Intelligent Decision Technologies, Vol. 16 (1), 2022)


The trilogy is useful to either the specialized researcher seeking information on specific sub areas within these disciplines or the newcomer who seeks to get involved in these disciplines. ... I warmly congratulate the editors for their superb work. I highly and wholeheartedly recommend the trilogy to professors, graduate students, practitioners and other specialists in artificial intelligence-based technologies and assistive technologies, and to general readers, all of whom, I am sure, will benefit greatly from it in their research endeavor. (Du Zhang, Intelligent Decision Technologies, Vol. 16 (1), 2022)


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