001440156 000__ 06041cam\a2200673\i\4500 001440156 001__ 1440156 001440156 003__ OCoLC 001440156 005__ 20230309004545.0 001440156 006__ m\\\\\o\\d\\\\\\\\ 001440156 007__ cr\un\nnnunnun 001440156 008__ 211005s2021\\\\sz\a\\\\o\\\\\101\0\eng\d 001440156 019__ $$a1287769334$$a1292518898 001440156 020__ $$a9783030868550$$q(electronic bk.) 001440156 020__ $$a3030868559$$q(electronic bk.) 001440156 020__ $$z9783030868543$$q(print) 001440156 0247_ $$a10.1007/978-3-030-86855-0$$2doi 001440156 035__ $$aSP(OCoLC)1273399354 001440156 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dOCLCO$$dEBLCP$$dOCLCF$$dDCT$$dDKU$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ 001440156 049__ $$aISEA 001440156 050_4 $$aQ334 001440156 08204 $$a006.3$$223 001440156 1112_ $$aRCAI (Conference)$$n(19th :$$d2021 :$$cTaganrog, Russia) 001440156 24510 $$aArtificial intelligence :$$b19th Russian Conference, RCAI 2021, Taganrog, Russia, October 11-16, 2021, Proceedings /$$cSergei M. Kovalev, Sergei O. Kuznetsov, Aleksandr I. Panov (eds.). 001440156 2463_ $$aRCAI 2021 001440156 264_1 $$aCham, Switzerland :$$bSpringer,$$c2021. 001440156 300__ $$a1 online resource (xi, 382 pages) :$$billustrations (some color) 001440156 336__ $$atext$$btxt$$2rdacontent 001440156 337__ $$acomputer$$bc$$2rdamedia 001440156 338__ $$aonline resource$$bcr$$2rdacarrier 001440156 347__ $$atext file 001440156 347__ $$bPDF 001440156 4901_ $$aLecture notes in artificial intelligence 001440156 4901_ $$aLecture notes in computer science ;$$v12948 001440156 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence 001440156 500__ $$aIncludes author index. 001440156 5050_ $$aCognitive Research -- Heterogeneous Formal Neurons and Modeling of Multi-Transmitter Neural Ensembles -- Methods for Recognition of Frustration-Derived Reactions in Social Media -- Identification of the Network State Based on the ART-2 Neural Network with a Hierarchical Memory Structure in Parallel Mode -- Data Mining, Machine Learning, Classification -- Ranking Weibull Survival Model: Boosting Concordance Index of Weibull Time-to-event Prediction Model with Ranking Losses -- Predicting Different Health and Lifestyle Behaviors of Social Media Users -- Methods for Finding Consequences with Specified Properties -- Data Mining Methods for Analysis and Forecast of Emerging Technology Trend: A Systematic Mapping Study from SCOPUS Papers -- Machine Learning for Assessment of Cardiometabolic Risk Factors Predictive Potential and Prediction of Obstructive Coronary Arteries Lesions -- Knowledge Engineering -- Application of FCA for Domain Model Theory Investigation -- The Metagraph Model for Complex Networks: Definition, Calculus and Granulation Issues -- Subjective Expert Evaluations in the Model-Theoretic Representation of Object Domain Knowledge -- Multiagent Systems and Robotics -- Q-Mixing Network for Multi-Agent Path Finding in Partially Observable Grid Environments -- Subdefinite Computations for Reducing the Search Space in Mobile Robot Localization Task -- Enhancing Exploration Algorithms for Navigation with Visual SLAM -- Natural Language Processing -- Relying on Discourse Trees to Extract Medical Ontologies from Text -- TITANIS: A Tool for Intelligent Text Analysis in Social Media -- Approach to the Automated Development of Scientific Subject Domain Ontologies Based on Heterogeneous Ontology Design Patterns -- Fuzzy Models and Soft Computing -- PC-algorithm of Algebraic Bayesian Network Secondary Structure Training -- Logistic-based Design of Fuzzy Interpretable Classifiers -- Intelligent Systems -- Knowledge-Based Diagnostic System with a Precedent Library -- Semiotic Models in Monitoring and Decision Support Systems -- Cognitive Patterns for Semantic Presentation of Natural-language Descriptions of Well-formalizable Problems -- Detecting Anomalous Behavior of Users of Data Centers based on the Application of Artificial Neural Networks -- Tools for Designing Intelligent Systems -- Study of the Feasibility of Creating of a Real-time Neuronetwork Infrared Ground Objects Recognition System -- The Implementation of the Ontological Approach to Control of the Processes of Designing Integrated Expert Systems Based on the Problem-oriented Methodology -- A Module for Industrial Safety Inspection Planning Based on Self-organization.- 001440156 506__ $$aAccess limited to authorized users. 001440156 520__ $$aThis book constitutes the proceedings of the 19th Russian Conference on Artificial Intelligence, RCAI 2021, held in Moscow, Russia, in October 2021. The 19 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 80 submissions. The conference deals with a wide range of topics, categorized into the following topical headings: cognitive research; data mining, machine learning, classification; knowledge engineering; multi-agent systems and robotics; natural language processing; fuzzy models and soft computer; intelligent systems; and tools for designing intelligent systems. 001440156 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 5, 2021). 001440156 650_0 $$aArtificial intelligence$$vCongresses. 001440156 650_6 $$aIntelligence artificielle$$vCongrès. 001440156 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001440156 655_7 $$aConference papers and proceedings.$$2lcgft 001440156 655_7 $$aActes de congrès.$$2rvmgf 001440156 655_0 $$aElectronic books. 001440156 7001_ $$aKovalev, Sergei M.,$$eeditor. 001440156 7001_ $$aKuznetsov, Sergei O.,$$eeditor$$1https://orcid.org/0000-0003-3284-9001 001440156 7001_ $$aPanov, Aleksandr I.,$$eeditor$$1https://orcid.org/0000-0002-9747-3837 001440156 77608 $$iPrint version: $$z9783030868543 001440156 77608 $$iPrint version: $$z9783030868567 001440156 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence. 001440156 830_0 $$aLecture notes in computer science ;$$v12948. 001440156 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 001440156 852__ $$bebk 001440156 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-86855-0$$zOnline Access$$91397441.1 001440156 909CO $$ooai:library.usi.edu:1440156$$pGLOBAL_SET 001440156 980__ $$aBIB 001440156 980__ $$aEBOOK 001440156 982__ $$aEbook 001440156 983__ $$aOnline 001440156 994__ $$a92$$bISE