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| 008 | 210916s2021 sz | o |||| 0|eng d | ||
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_a10.1007/978-3-030-86855-0 _2doi |
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| 035 | _a(BIP)81789829 | ||
| 035 | _a(BIP)81250005 | ||
| 035 | _a(DE-He213)978-3-030-86855-0 | ||
| 035 | _a(EXLCZ)995360000000049911 | ||
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_aQ334 _b.A785 2021 |
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_aArtificial Intelligence : _b19th Russian Conference, RCAI 2021, Taganrog, Russia, October 11–16, 2021, Proceedings / _cedited by Sergei M. Kovalev, Sergei O. Kuznetsov, Aleksandr I. Panov. |
| 250 | _a1st ed. 2021. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
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| 300 | _a1 online resource (381 pages) | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v12948 |
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| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _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 Systemwith 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.-. | |
| 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. | ||
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 |
_aComputer science. _9370 |
|
| 650 | 0 |
_aApplication software. _94694 |
|
| 650 | 0 |
_aComputers. _93650 |
|
| 650 | 1 | 4 | _aArtificial Intelligence. |
| 650 | 2 | 4 | _aTheory of Computation. |
| 650 | 2 | 4 | _aComputer and Information Systems Applications. |
| 650 | 2 | 4 | _aComputing Milieux. |
| 655 | 7 |
_aElectronic books _2local _92032 |
|
| 700 | 1 |
_aKovalev, Sergei M., _eeditor |
|
| 700 | 1 |
_aKuznetsov, Sergei O., _eeditor |
|
| 700 | 1 |
_aPanov, Aleksandr I., _eeditor |
|
| 776 | 0 | 8 | _z3-030-86854-0 |
| 830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v12948 |
|
| 856 | 4 | 0 |
_3Springerlink _uhttps://link.springer.com/book/10.1007/978-3-030-86855-0 _zOnline access link to the resource |
| 942 |
_2lcc _cEBK |
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| 999 |
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