Proceedings of the Seventh International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'23) Volume 2 /
Proceedings of the Seventh International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'23) Volume 2 / [electronic resource] :
edited by Sergey Kovalev, Igor Kotenko, Andrey Sukhanov.
- 1st ed. 2023.
- XIV, 348 p. 134 illus., 93 illus. in color. online resource.
- Lecture Notes in Networks and Systems, 777 2367-3389 ; .
- Lecture Notes in Networks and Systems, 777 .
Acceso multiusuario
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.
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.
9783031437922
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Q342
006.3
Acceso multiusuario
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.
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.
9783031437922
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Q342
006.3
