Proceedings of the seventh International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'23). Volume 2 / Sergey Kovalev, Igor Kotenko, Andrey Sukhanov, editors.
2023
TA347.A78 I58 2023eb
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Title
Proceedings of the seventh International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'23). Volume 2 / Sergey Kovalev, Igor Kotenko, Andrey Sukhanov, editors.
ISBN
9783031437922 (electronic bk.)
3031437926 (electronic bk.)
9783031437915
3031437926 (electronic bk.)
9783031437915
Published
Cham : Springer, 2023.
Language
English
Description
1 online resource (xiv, 348 pages) : illustrations (some color).
Other Standard Identifiers
10.1007/978-3-031-43792-2 doi
Call Number
TA347.A78 I58 2023eb
Dewey Decimal Classification
658.500285/63
Summary
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.
Note
Includes author index.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 21, 2023).
Series
Lecture notes in networks and systems ; v. 777. 2367-3389
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Table of Contents
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.
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.