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International Scientific Conference "Intellectual Systems of Decision-making and Problems of Computational Intelligence" ((2022 :)

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Lecture notes in data engineering, computational intelligence, and decision making = 2022 International Scientific Conference "Intellectual Systems of Decision-Making and Problems of Computational Intelligence" : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Lecture notes in data engineering, computational intelligence, and decision making/ edited by Sergii Babichev, Volodymyr Lytvynenko.
Reminder of title:	2022 International Scientific Conference "Intellectual Systems of Decision-Making and Problems of Computational Intelligence" : proceedings /
other author:	Babichev, Sergii.
corporate name:	International Scientific Conference "Intellectual Systems of Decision-making and Problems of Computational Intelligence"
Published:	Cham :Springer International Publishing : : 2023.,
Description:	xvii, 721 p. :ill., digital ;24 cm.
[NT 15003449]:	Application 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.
Contained By:	Springer Nature eBook
Subject:	Computational intelligence - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-16203-9
ISBN:	9783031162039

Lecture notes in data engineering, computational intelligence, and decision making = 2022 International Scientific Conference "Intellectual Systems of Decision-Making and Problems of Computational Intelligence" : proceedings /
Lecture notes in data engineering, computational intelligence, and decision making2022 International Scientific Conference "Intellectual Systems of Decision-Making and Problems of Computational Intelligence" : proceedings /[electronic resource] :edited by Sergii Babichev, Volodymyr Lytvynenko. - Cham :Springer International Publishing :2023. - xvii, 721 p. :ill., digital ;24 cm. - Lecture notes on data engineering and communications technologies,v. 1492367-4520 ;. - Lecture notes on data engineering and communications technologies ;v. 149..

Application 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.

This 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.

ISBN: 9783031162039

Standard No.: 10.1007/978-3-031-16203-9doiSubjects--Topical Terms:

704428
Computational intelligence
--Congresses.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Lecture notes in data engineering, computational intelligence, and decision making = 2022 International Scientific Conference "Intellectual Systems of Decision-Making and Problems of Computational Intelligence" : proceedings /
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505 0 $a Application 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 $a This 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.
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