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Title
Proceedings of the seventh International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'23). Volume 1 / Sergey Kovalev, Igor Kotenko, Andrey Sukhanov, editors.
ISBN
9783031437892 (electronic bk.)
3031437896 (electronic bk.)
9783031437885
Published
Cham, Switzerland : Springer, [2023]
Language
English
Description
1 online resource (xiv, 436 pages) : illustrations.
Item Number
10.1007/978-3-031-43789-2 doi
Call Number
TA347.A78
Dewey Decimal Classification
006.3
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.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 27, 2023).
Series
Lecture notes in networks and systems ; v. 776.
Intelligent Interfaces and Systems for Human-Computer Interaction
Three Knowledge Sources and Three Constituents of Artificial Intelligence Foundation
Comparative Analysis of Data Synthesis Methods for Prognostic Models Development in Cardiology
Artificial Intelligence Approach to Palladium Nanocatalysts Diagnostics Automation
Methodology for detecting and feature selection of an information attack in the process of mediatization
Planning Maneuvers for Autonomous Driving Based on Offline Reinforcaement Learning: Comparative Study.