Multimedia industrial and medical applications supported by machine learning

Andrzej Czyżewski

doi:10.1007/978-981-99-2969-6_1

Multimedia industrial and medical applications supported by machine learning

Abstract

This article outlines a keynote paper presented at the Intelligent DecisionTechnologies 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 noncontact respiratory-circulatory radar are presented, using intelligent data analysis and machine learning.

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Author (1)

Andrzej Czyżewski prof. dr hab. inż.

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Details

Category:

Monographic publication

Type:

rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym

Language:

English

Publication year:

2023

Bibliographic description:

Czyżewski A.: Multimedia industrial and medical applications supported by machine learning// Intelligent Decision Technologies. Proceedings of the 15th KES-IDT 2023 Conference/ : Springer, 2023, s.13-22

DOI: