000 | 05687nam a22006015i 4500 | ||
---|---|---|---|
001 | 978-3-030-86855-0 | ||
003 | DE-He213 | ||
005 | 20240730180020.0 | ||
007 | cr nn 008mamaa | ||
008 | 210916s2021 sz | s |||| 0|eng d | ||
020 |
_a9783030868550 _9978-3-030-86855-0 |
||
024 | 7 |
_a10.1007/978-3-030-86855-0 _2doi |
|
050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
072 | 7 |
_aUYQ _2thema |
|
082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aArtificial Intelligence _h[electronic resource] : _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. |
|
300 |
_aXI, 382 p. 139 illus., 66 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v12948 |
|
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. _93407 |
|
650 | 0 |
_aComputer science. _99832 |
|
650 | 0 |
_aApplication software. _9118629 |
|
650 | 0 |
_aComputers. _98172 |
|
650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aTheory of Computation. _9118630 |
650 | 2 | 4 |
_aComputer and Information Systems Applications. _9118631 |
650 | 2 | 4 |
_aComputing Milieux. _955441 |
700 | 1 |
_aKovalev, Sergei M. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9118632 |
|
700 | 1 |
_aKuznetsov, Sergei O. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9118633 |
|
700 | 1 |
_aPanov, Aleksandr I. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9118634 |
|
710 | 2 |
_aSpringerLink (Online service) _9118635 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030868543 |
776 | 0 | 8 |
_iPrinted edition: _z9783030868567 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v12948 _9118636 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-86855-0 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
942 | _cELN | ||
999 |
_c90140 _d90140 |