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_223
245 1 0 _aLecture Notes in Data Engineering, Computational Intelligence, and Decision Making
_h[electronic resource] :
_b2022 International Scientific Conference "Intellectual Systems of Decision-Making and Problems of Computational Intelligence", Proceedings /
_cedited by Sergii Babichev, Volodymyr Lytvynenko.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2023.
300 _aXVII, 721 p. 329 illus., 200 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 on Data Engineering and Communications Technologies,
_x2367-4520 ;
_v149
500 _aAcceso multiusuario
505 0 _aApplication of Convolutional Neural Network for the Gene Expression Data Classification -- Formation of Subsets of Co-Expressed Gene Expression Profiles Based on Joint Use of Fuzzy Inference System, Statistical Criteria and Shannon Entropy -- Mathematical Model of Preparing Process of Bulk Cargo for Transportation by Vessel -- Computer Simulation of Joule-Thomson Effect Based on the Use of Real Gases -- Simulating Soil Organic Carbon Turnover with a Layered Model and Improved Moisture and Temperature Impacts -- Optimization of Coagulant Dosing Process for Water Purification Based on Artificial Neural Networks -- Methodology for Solving Forecasting Problems Based on Machine Learning Methods -- The Comprehensive Model of Using In-Depth Consolidated Multimodal Learning to Study Trading Strategies in the Securities Market -- Mathematical and Computer Model of the Tree Crown Ignition Process from a Mobile Grassroots Fire -- Features of Complex Application of the Formal Method of EVENT-B for Development of Environmental Management Systems -- Ecology Objects Recognition by Optimized Inverse Filtration Of Textured Background -- Information Technology to Assess the Enterprises' Readiness for Innovative Transformations Using Markov Chains -- Method to Find the Original Source of COVID-19 by Genome Sequence and Probability of Electron Capture -- Leader-Follower Strategy of Fixed-Wing Unmanned Aerial Vehicles via Split Rejoin Maneuvers -- Prognostic Assessment of COVID-19 Vaccination Levels.
520 _aThis book contains of 39 scientific papers which include the results of research regarding the current directions in the fields of data mining, machine learning and decision-making. This book is devoted to current problems of artificial and computational intelligence including decision-making systems. Collecting, analysis and processing information are the current directions of modern computer science. Development of new modern information and computer technologies for data analysis and processing in various fields of data mining and machine learning create the conditions for increasing effectiveness of the information processing by both the decrease of time and the increase of accuracy of the data processing. The papers are divided in terms of their topic into three sections. The first section "Analysis and Modeling of Hybrid Systems and Processes" contains of 11 papers, and the second section "Theoretical and Applied Aspects of Decision-Making Systems" contains of 11 ones too. There are 17 papers in the third section "Data Engineering, Computational Intelligence and Inductive Modeling". The book is focused to scientists and developers in the fields of data mining, machine learning and decision-making systems.
541 _fUABC ;
_cPerpetuidad
650 0 _aComputational intelligence.
650 0 _aArtificial intelligence.
650 1 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence.
700 1 _aBabichev, Sergii.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLytvynenko, Volodymyr.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031162022
776 0 8 _iPrinted edition:
_z9783031162046
830 0 _aLecture Notes on Data Engineering and Communications Technologies,
_x2367-4520 ;
_v149
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-16203-9
912 _aZDB-2-INR
912 _aZDB-2-SXIT
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