Kovalev / Kotenko / Sukhanov Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23)

Volume 2
1. Auflage 2023
ISBN: 978-3-031-43792-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 777, 348 Seiten, eBook

Reihe: Lecture Notes in Networks and Systems

This book contains the works connected with the key advances in Industrial Artificial Intelligence presented at IITI 2023, the Seventh International Scientific Conference on Intelligent Information Technologies for Industry held on September 25-30, 2023 in St. Petersburg, Russia. The works were written by the experts in the field of applied artificial intelligence including topics such as Machine Learning, Explainable AI, Decision-Making, Fuzzy Logic, Multi-Agent and Bioinspired Systems. The following industrial application domains were touched: railway automation, cyber security, intelligent medical systems, navigation and energetic systems. The editors believe that this book will be helpful for all scientists and engineers interested in the modern state of applied artificial intelligence.

Zielgruppe

Research

Autoren/Hrsg.

Kovalev, Sergey

Kotenko, Igor

Sukhanov, Andrey

Inhaltsverzeichnis

Explainable Document Classification via Pattern Structures.- Bayesian belief network for association between clusters of social media users with similar personality traits profiles and color characteristics of their avatar images.- Algebraic Bayesian Networks: the Generation of the Network Canonical Representation.- Quantification of Localization Uncertainty in One-stage Object Detection.- Automated Discovery of Direct Speech to Increase Quality and Battery Saving in Telephony.