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Multimedia Industrial and Medical Applications Supported by Machine Learning

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Intelligent Decision Technologies (KESIDT 2023)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 352))

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Abstract

This article outlines a keynote paper presented at the Intelligent Decision Technologies conference providing a part of the KES Multi-theme Conference “Smart Digital Futures” organized in Rome on June 14–16, 2023. It briefly discusses projects related to traffic control using developed intelligent traffic signs and diagnosing the health of wind turbine mechanisms and multimodal biometric authentication for banking branches to provide selected examples of industrial applications of intelligent decision technologies. In addition, the developed medical applications for communicating with the surroundings by unconscious people, advanced analyzing disordered speech, and an advanced non-contact respiratory-circulatory radar are presented, using intelligent data analysis and machine learning.

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Acknowledgments

A part of the presented research was subsidized by the Polish National Centre for Research and Development (NCBR) from the European Regional Development Fund within project No. POIR.01.01.01-0092/19 entitled: “BIOPUAP - a biometric cloud authentication system.”

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Authors and Affiliations

  1. ETI Faculty, Multimedia Systems Department, Gdańsk University of Technology, 80-233, Gdańsk, Poland

    Andrzej Czyżewski

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  1. Andrzej Czyżewski
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Correspondence to Andrzej Czyżewski .

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Editors and Affiliations

  1. Gdynia Maritime University, Gdynia, Poland

    Ireneusz Czarnowski

  2. KES International Research, Shoreham-by-sea, UK

    R.J. Howlett

  3. KES International, Selby, UK

    Lakhmi C. Jain

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Czyżewski, A. (2023). Multimedia Industrial and Medical Applications Supported by Machine Learning. In: Czarnowski, I., Howlett, R., Jain, L.C. (eds) Intelligent Decision Technologies. KESIDT 2023. Smart Innovation, Systems and Technologies, vol 352. Springer, Singapore. https://doi.org/10.1007/978-981-99-2969-6_2

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