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Advances in Deep Learning, Artificial Intelligence and Robotics

Proceedings of the 2nd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2020

  • Conference proceedings
  • © 2022

Overview

  • Presents new technologies and applications in deep learning, artificial intelligence, and robotics
  • Includes the results from the 2nd ICDLAIR held in Salerno, Italy
  • Intends to be used as a reference by students and researchers

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 249)

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Table of contents (21 papers)

Keywords

About this book

This book of Advances in Deep Learning, Artificial Intelligence and Robotics (proceedings of ICDLAIR 2020) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of modern artificial intelligence and robotics. Deep Learning, AI and robotics represent key ingredients for the 4th Industrial Revolution. Their extensive application is dramatically changing products and services, with a large impact on labour, economy and society at all. The research and reports of new technologies and applications in DL, AI and robotics like biometric recognition systems, medical diagnosis, industries, telecommunications, AI petri nets model-based diagnosis, gaming, stock trading, intelligent aerospace systems, robot control and web intelligence aim to bridge the gap between these non-coherent disciplines of knowledge and fosters unified development in next-generation computational models for machine intelligence.

Editors and Affiliations

  • Department of Management and Innovation Systems, University of Salerno, Fisciano, Italy

    Luigi Troiano, Roberto Tagliaferri, Domenico Parente

  • Department of Engineering, University of Sannio, Benevento, Italy

    Alfredo Vaccaro

  • Department of Computer Science, Central University of Rajasthan, Ajmer, India

    Nishtha Kesswani

  • Department of Computer Science, University of Oviedo, Gijón, Spain

    Irene Díaz Rodriguez

  • Emlyon Business School, Écully, France

    Imene Brigui

Bibliographic Information

  • Book Title: Advances in Deep Learning, Artificial Intelligence and Robotics

  • Book Subtitle: Proceedings of the 2nd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2020

  • Editors: Luigi Troiano, Alfredo Vaccaro, Roberto Tagliaferri, Nishtha Kesswani, Irene Díaz Rodriguez, Imene Brigui, Domenico Parente

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-030-85365-5

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-030-85364-8Published: 04 January 2022

  • eBook ISBN: 978-3-030-85365-5Published: 03 January 2022

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XI, 232

  • Number of Illustrations: 27 b/w illustrations, 80 illustrations in colour

  • Topics: Computational Intelligence, Machine Learning, Artificial Intelligence, Data Engineering, Robotics and Automation

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