Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making [electronic resource] : 2022 International Scientific Conference "Intellectual Systems of Decision-Making and Problems of Computational Intelligence", Proceedings / Sergii Babichev, Volodymyr Lytvynenko, editors.

Intro
Preface
Organization
Program Committee
Chairman
Vice-chairmen
Members
Organization Committee
Chairman
Vice-chairmen
Members
Contents
Analysis and Modeling of Hybrid Systems and Processes
Application of Convolutional Neural Network for Gene Expression Data Classification
1 Introduction
2 Literature Review
3 Material and Methods
3.1 Architecture, Structure and Model of Convolutional Neural Network
4 Simulation, Results and Discussion
4.1 Gene Expression Dataset Formation and Preprocessing

4.2 Application of 1D One-Layer CNN for Gene Expression Data Classification
4.3 Application of 1D Two-Layer CNN for Gene Expression Data Classification
4.4 Model of 2D Convolutional Neural Network
4.5 Model of 2D Three-Layer Convolutional Neural Network
4.6 Estimation of CNN Robustness to Different Levels of Noise Component
5 Conclusions
References
Formation of Subsets of Co-expressed Gene Expression Profiles Based on Joint Use of Fuzzy Inference System, Statistical Criteria and Shannon Entropy
1 Introduction
2 Problem Statement
3 Literature Review

4 Fuzzy Model of Removing the Non-informative Gene Expression Profiles by Statistical and Entropy Criteria
4.1 Simulation Regarding Practical Implementation of the Proposed Fuzzy Logic Inference Model
5 Assessing the Fuzzy Inference Model Adequacy by Applying the Gene Expression Data Classification Technique
6 Conclusions
References
Mathematical Model of Preparing Process of Bulk Cargo for Transportation by Vessel
1 Introduction
2 Problem Statement
3 Literature Review
4 Materials and Methods
5 Experiment and Results
6 Discussions
7 Conclusions
References

Computer Simulation of Joule-Thomson Effect Based on the Use of Real Gases
1 Introduction
2 Literature Review
3 Materials and Methods
3.1 Theoretical Describing the Joule-Thomson Effect
3.2 Calculation of Heating System Efficiency Based on the Joule-Thomson Effect
3.3 Calculation of Heating System Efficiency Whose Working Fluid is Water
4 Simulation, Results and Discussion
5 Conclusions
References
Simulating Soil Organic Carbon Turnover with a Layered Model and Improved Moisture and Temperature Impacts
1 Introduction
2 Literature Review
3 Mathematical Model

3.1 Layered SOC Decomposition Model
3.2 Soil Moisture and Temperature Model
3.3 Abiotic Stress Functions
4 Experiment
4.1 Experimental Setting
4.2 Data Sources
5 Results and Discussion
6 Conclusions
References
Optimization of Coagulant Dosing Process for Water Purification Based on Artificial Neural Networks
1 Introduction
2 Problem Statement
3 Literature Review
4 Materials and Methods
4.1 Water Purification Process
4.2 Determination of Coagulant Dose
4.3 Modeling of Artificial Neural Network
5 Experiment, Results and Discussion
6 Conclusions