Data Science and Intelligent Systems: Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2 (Lecture Notes in Networks and Systems, 231)

Description

This book constitutes the second part of refereed proceedings of the 5th Computational Methods in Systems and Software 2021 (CoMeSySo 2021) proceedings. The real-world problems related to data science and algorithm design related to systems and software engineering are presented in this papers. Furthermore, the basic research’ papers that describe novel approaches in the data science, algorithm design and in systems and software engineering are included. The CoMeSySo 2021 conference is breaking the barriers, being held online. CoMeSySo 2021 intends to provide an international forum for the discussion of the latest high-quality research results Preface Organization Program Committee Program Committee Chairs International Program Committee Members Organizing Committee Chair Conference Organizer (Production) Conference Website, Call for Paper Contents Multiple OLAP Reports and the Best Compromise in the Decision-Making Process 1 Introduction 1.1 OLAP 1.2 OLAP Decision-Making Process 1.3 Problem Statement 2 Methods 3 Results 3.1 OLAP Case Study 4 Conclusion References One Step Deep Learning Approach to Grasp Detection in Robotics 1 Introduction 2 Materials and Methods 2.1 Fully Convolutional Neural Network Design 3 Results 4 Conclusions References Value Set-Based Numerical Analysis of Robust Stability for Fractional-Order Retarded Quasi-Polynomials with Uncertain Parameters and Uncertain Fractional Orders 1 Introduction 2 Mathematical Description of a Heat Transfer Process 3 Fractional-Order PID Controller 4 Value Set-Based Robust Stability Analysis 5 Conclusion References Crisis Risk Management in Organizational Systems 1 Introduction 2 Subject Area 3 OS Evolution Conceptual Model 4 The Problem Formal Statement 5 Conclusion References Fashion Trend Forecasting Using Machine Learning Techniques: A Review 1 Introduction 2 Theoretical Background 3 Methodology 4 Result 4.1 RQ1: What Techniques Are Most Commonly Used in Trend Forecasting? 4.2 RQ2: What Are the Machine Learning Techniques that Could Be Used for Fashion Trend and Trend Forecasting? 5 Conclusion References Development of the Index Paradigm in Remote Sensing of Soil-Vegetable Cover 1 Introduction 2 Materials and Methods 3 Discussion of the Results 4 Conclusion References Electric and Hybrid Vehicles: Analysis of Factors Influencing Purchase Intentions of Consumers in Czechia 1 Introduction 2 Literature Review 3 Data and Methodology 3.1 Polychoric Correlation 4 Empirical Results 5 Conclusions References Method of Nonlinear Digital Control Systems Simulation 1 Introduction 2 Model of Object Under Control 3 Model of Data Processing 4 Model of Actuator with Nonlinearities 5 Example of Digital Control System Simulation 6 Conclusion References The Oil Production Dynamics Analysis in the World for Half a Century in Value Terms 1 Introduction 2 Phase Transition, the Relationship Between World Oil Production and Prices 3 Exponential Model 4 The Trend Component Analysis. Production Dynamics Model with Linearly Decreasing Relative Increments 5 Medium-Term Forecast Based on an Autoregressive Model 6 Fluctuations Analysis 7 Oil Production Dynamics Model in Gold Equivalent 8 Conclusion References The Earthquake Attributes Disjunctive Form Analysis at the Quickest Form Change Directions 1 Introduction 2 Methodology 3 Conclusion References The Changes Dynamics Analysis in the Japanese Stock Exchange Nikkei^225 Index in the Latest Time 1 Introduction 2 Main Characterizations 3 Intensive Growth Areas 4 Limited Height, Gompertc’s Model 5 Limited Growth Logistic Model 6 The Trend Exclusion 7 A Generalized Shift Function Construction 8 Defining the System Development’ Cell 9 Conclusion References Scalable Architecture of Distributed Control System for Industrial Greenhouse Complexes 1 Introduction 2 Architecture of Distributed Control System for Industrial Vertical Farms 3 Conclusion References Image Segmentation of Acidity of Agricultural Lands in Eastern Siberia 1 Introduction 2 Method of Analysis of the Key Soil Productivity Parameters 3 Result Analysis and Discussion 4 Conclusion References Management of Documented Information to Ensure Traceability of Radioelectronic Equipment Production Using Software 1 Introduction 2 Documented Information in the Quality Management System 3 Ensuring Traceability Using Software Tools 4 Conclusion References Comparing Different Supervised Classification Algorithms to Detect Arrhythmia in an ECG 1 Introduction 1.1 Problem Background 1.2 Article’s Structure 2 Method and Data 2.1 About the Data Set 2.2 Methodology 2.3 Data Pre-processing 3 Results 4 Discussion 5 Conclusions References Modeling the Effects of Politics Based on a Sociological Reference Scheme for Self-organizing Systems 1 Introduction 2 Methods 2.1 A Sociological Reference Scheme 2.2 Macroeconomic Models 2.3 Models of Business Administration 2.4 Network Oriented Modelling for Adaptive Networks Used as a Vehicle 3 Results 3.1 The Eindhoven Case: As a Test 3.2 The Steel Industry in North Holland a Simulation: As a Forecast 4 Conclusion and Discussion References Selecting a Multi-criteria Decision Analysis Method 1 MCDA Foundations 2 MCDA Method Selection Problem 3 Qualitative Approach 4 Approach Based on Comparison in the Context of a Real-World Case 5 Simulation-Based Approach 6 Conducting the Experiment 7 Conclusion References Tomato Leaf Diseases Detection Using Deep Learning 1 Introduction 2 Dataset 3 Materials and Methods 3.1 Deep Learning Model 3.2 Transfer Learning 3.3 Data Augmentation 3.4 Training Specifications 3.5 Evaluation Metrics 4 Results and Discussion 5 Deployment Final Model on the Web 6 Conclusions References A Hybrid Approach and Implementation on Root Cause Analysis Logic Model for Enterprise Software Application 1 Introduction 2 Motive of the Studies 3 Statement of the Problem 4 Statement of the Objectives 5 Literature Review 6 Proposed Logic Model 7 Design, Development and Implementation 7.1 System Design 7.2 The Analytic Hierarchy Process (AHP) Design 7.3 Part I – Decision Making on the Valid Error 7.4 Part II – Decision Making on the Preferred Resolution 7.5 Pseudo Code 7.6 System Development 7.7 Log Scanning 7.8 Training the PAL Logic 7.9 System Testing 7.10 Test Case 1: To Validate All the Configuration Files Can Be Accessed During PAL Execution 7.11 Test Case 2: To Validate Other Properties Are Accurately Accessed During PAL Execution 7.12 Test Case 3: To Validate the Analysis Report of PAL is Shown as Expected 8 Validation and Verification 8.1 The Duration of PAL Execution 8.2 The Identification of Valid Error Types 8.3 The Relationship Between the Valid Errors 8.4 The Regression Testing for Additional Module 9 Results and Discussion 9.1 Shorten the Duration of Reading Log Files and Improve Accuracy 9.2 Shorten the Duration of Root Cause Analysis Activity 10 Conclusion References Teaching and Learning with Technology: The Factors that Affect ICT Integration in Gauteng Public Schools 1 Introduction 1.1 Background 2 Literature Review 2.1 Empirical Literature Review 3 Methodology 3.1 A Subsection Sample 4 Results 4.1 Multiple Regression Analysis Results 5 Conclusion, Recommendation and Future Work 5.1 Future Work References Analysis of Machine Learning Classification Techniques for Anomaly Detection with NSL-KDD Data Set 1 Introduction 2 State of the Art 3 Methodology for Building ML Models for Anomaly Detection 3.1 Overview of NSL-KDD Data Set 3.2 Building ML Models from NSL-KDD Data Set 4 Analysis of Results for Various ML Classification Algorithms 5 Conclusion References Research and Selection of Rational Methods for Obtaining Framework of Schedules for the Parallel Programs Execution 1 Introduction 2 Methods 3 Results 4 Discussion References Application of Cluster Analysis for the Study of Factors Affecting the Rating of Schools in Moscow 1 Introduction 2 Review of Literature 3 Methods 4 Problem Setting 5 Results 6 Discussion 7 Conclusion References BRICS-Eurasian Credit Markets: Problems and Prospects 1 Introduction 2 Methods 3 Results 4 Discussions 5 Conclusion References Updated Methodology for Task Knowledge Based Development of Parallel Programs 1 Introduction 1.1 Markuping Text Fragments and Writing Formulas 2 Symbolic Modeling (s-Modeling) of Programmable Tasks (s-Tasks): Basic Concepts 3 PPS-Construction 4 OBRAZ Language for Task Knowledge Representation 4.1 A Notion Representation 4.2 Operations on Notion Specifications 4.3 A Task Relation 4.4 A Task Relation Graph(Tr-Graph) 5 MPM: The Automatic Parallelizing Method 5.1 A Task Constructive Automaton(TCA) 5.2 MPM-Parallelizing Stages 6 Cooperative Problem Solver (CPS) Based on Digital Twins 7 Conclusions References The Support Vectors and Random Forest Methods Analysis in the Forecasting Customer Churn Problem in Banking Services 1 Introduction 2 General Data Analysis and Visualization 3 Data Preprocessing 4 Churn Forecast and Quality Assessment 5 Conclusion References Algorithm for Determining Target Point of Manipulator for Grasping an Object Using Combined Sensing Means 1 Introduction 2 Related Works 3 Installation Scheme 3.1 Capacitive Sensor Matrix 3.2 Calibrating Data Acquired by the Matrix of Pressure Sensors 4 Algorithm for Determining the Grasp Point 5 Experiments 6 Conclusion References Automated Computer Analysis of Microscopy Images Based on Laplacian and Neuro-Fuzzy Networks 1 Introduction 2 Materials and Methods 3 Computational Experiment 4 Conclusion References Admonishment System for Human Physical Distancing Violators Using Faster Region-Based Convolutional Neural Network with  Detectron2 Library 1 Introduction 2 Methodology 2.1 Conceptual Framework 2.2 Software Development 2.3 Hardware Development 2.4 Data Gathering 2.5 Controlled Testing 3 Results and Discussion 3.1 Data Gathered 3.2 Statistical Treatment 4 Conclusion and Recommendation 4.1 Conclusion 4.2 Recommendation References Comparison of the Performance of NewSQL Databases Based on Linux OS 1 Introduction 2 Related Work and Explanations 2.1 NewSQL Databases 2.2 Performance 3 Methodology 3.1 Databases 3.2 Data Set 3.3 Test Settings 3.4 KPIs 4 Performance Test Results 5 Conclusion and Future Research References Distance Monitoring with Contact Tracing Logging System Using Received Signal Strength Indicator 1 Introduction 2 Methodology 2.1 Conceptual Framework 2.2 System Flow Chart 2.3 Prototype 2.4 Graphical User Interface 2.5 Calibration and Testing 2.6 Database 3 Conclusion 4 Recommendations References A Percentile Whale Algorithm an Application to the Set Covering Problem 1 Introduction 2 Set Covering Problem 3 Binary Percentile Whale Algorithm 3.1 Initialization 3.2 Percentile Binary Operator 4 Results 4.1 Insight of BPWH Algorithm 4.2 BPWH Compared with JPSO and MDBBH 5 Conclusions References A Machine Learning Whale Algorithm Applied to the Matrix Covering Problem 1 Introduction 2 Set Covering Problem 3 Binary Whale Algorithm 3.1 Initialization 3.2 Mcahine Learning Transition Ranking Operator 3.3 Heuristic Operator 4 Results 4.1 Insight of MLWH Algorithm 5 Conclusions References Modelling World Population Dynamics 1 Introduction 2 The World Population Intensive Growth. Population Explosion 3 Demographic Transition. Population Growth at a Falling Rate 4 Relative Gains Non-monotonic Dynamics 5 Conclusion References Data Analysis on Terrorist Activity. Predicting the Terrorist Activity Level 1 Introduction 2 Information About the Data Set Under Study and Primary Visualization 3 Eliminating a Trend and the System Almost-Periods Defining 4 Systems Development Critical Levels. The Restructuring Phases 5 Predicting the Terrorist Activity Level 6 Clustering Terrorist Attacks and Identifying Gang Patterns 7 The Terrorist Groups’ Behavioural Models Comparison 8 Conclusion References Method for Reconfiguring Kinematic Structure of Modular Robots Using Deep Reinforcement Learning 1 Introduction 2 Materials and Methods. General Approach for Solving the Problem of Reconfiguring the Kinematic Structure of Modular Robots Using Deep Reinforcement Learning 3 Methods to Improve the Effectiveness of Deep Q-Learning 3.1 Normalized Observation Vector 4 A New Method of Forming a Scalable Q-Tables 5 Test Results 6 Conclusion References On the Infinite-Dimensional Model Multiple-Parameter Estimation Using Feedback-Relay Identification Test 1 Introduction 2 Problem Statement 2.1 Infinite-Dimensional Model of the Thermal Process 2.2 Relay-Based Identification Using Describing Function 3 Proposed Technique 3.1 Simple Infinite-Dimensional Model 3.2 Levenberg-Marquardt Algorithm 3.3 Technique Summary 4 Numerical Results 4.1 Simple Model Parameter Identification 4.2 Thermal Process Model Characteristic Quasipolynomial Estimation 4.3 Remaining Thermal Process Model Parameter Identification 4.4 Results Evaluation 5 Conclusion References A Binary Whale Algorithm Applied to Knapsack Problem 1 Introduction 2 KnapSack Problem 3 Binary Percentile Whale Algorithm 3.1 Initialization and Element Weighting 3.2 Percentile Operator 3.3 Repair Operator 4 Results 4.1 Understanding BPWH Contribution 5 Conclusions References How Does Corruption Affect Firm Growth in Russia? A Case Study of the Krasnoyarsk Region 1 Introduction 2 Literature Review 3 Methodology 3.1 Sampling Method 3.2 Dataset 3.3 Model Specification 3.4 Description of Variables 4 Results 4.1 Descriptive Statistics 4.2 Regression Models Output 4.3 Discussion of Results 5 Conclusion References Conceptual Model for a Shared Cybersecurity Operations Center for ICS 1 Cyber Defense Issues for ICS 2 Methodology of the Research 3 Scope of SCOC Conceptual Model 4 Conclusion References Using Real-Time Traffic Information for Transportation Planning 1 Introduction 1.1 Problem Statement and Research Question 2 Literature Review 2.1 Real-Time Traffic Data 2.2 Existing Solutions 2.3 TSP Within OpenCI 2.4 Tools in General 3 Methodology 4 Solution Design 4.1 Google API 4.2 Solution Architecture 5 Development 5.1 Implementation 5.2 Possible Use Case 5.3 Limitations 6 Evaluation 6.1 Simulation of Traffic Jam 7 Conclusions References Semantic Artificial Intelligence 1 Introduction 2 Semantic Artificial Intelligence 2.1 Semantic Artificial Intelligence Structure 2.2 Semantic Artificial Intelligence Functions 3 Semantic Artificial Intelligence Implementation 3.1 Separate Independent Parts 3.2 Combined Action of the Mechanisms 4 Possible Applications 5 Conclusion References Intellectualization of Production Facilities Management in Conditions of Uncertainty 1 Introduction 2 Methods 2.1 Classification of Intelligent Management Approaches in Conditions of Uncertainty 2.2 Bayesian Networks in the Context of Production Facilities Management Under Uncertainty 3 Results and Discussions 3.1 Intellectualization of Additive Manufacturing Process Management in Conditions of Uncertainty 3.2 Intellectualization of Control of Robotic Complexes in Conditions of Uncertainty 3.3 Intellectualization of Regional Power Grid Management in Conditions of Uncertainty 4 Conclusion References Thinking Activity Dynamics Evaluation Based on EEG Analysis 1 Introduction 2 Methods 2.1 The Used EEG Characteristics 2.2 The Experiment 3 Results 4 Conclusion References Survey on Data Mining Tools Using Decision Analysis Resolution Method Applied for Context-Aware Data Mining Scenarios 1 Introduction 2 State of Art 3 Methodology 4 Decision Analysis Resolution (DAR) Implementation 4.1 Step 1: Definition of Significant Criteria 4.2 Step 2: Alternatives Chosen 4.3 Step 3: Methods Used to Evaluate the Data Mining Tools 4.4 Step 4: Decision on Best Option 5 Conclusions References The Redundant Distributed Data Labeling Under Conditions of the Decentralized Training Datasets Storing for the Fog- and Edge-Robotic Environment 1 Introduction 2 Machine Learning Application to Robotics and the Issues of the Training Datasets Forming 3 Redundant Distributed Data Labeling Approaches 4 The Comparison of the Monitoring Strategies as Applied to the Users Cooperation in the Groups 5 The Experiments with the Distributed Redundant Labeling 6 Conclusions References Optimized Decision Forest for Website Phishing Detection 1 Introduction 2 Related Works 3 Methodology 3.1 Optimized Decision Forest (ODF) Method 3.2 Website Phishing Datasets 3.3 Experimental Framework 3.4 Performance Evaluation Metrics 4 Results and Discussion 4.1 ODF Performance Comparison of Proposed ODF and Baseline Classifiers 4.2 Performance Comparison of Proposed ODF with Existing Methods. 5 Conclusion and Future Works References Development of the Intelligent Method and Software for Prediction of the Risk of Cardiovascular Complications in Patients with Atrial Fibrillation and Heart Failure 1 Introduction 2 State of the Art 3 Problem Statement 4 Solution Vision 5 Materials and Methods 6 Results 6.1 Neural Network Design 6.2 Data Sets 7 Conclusion References Investigation of Manifestations of Aggressive Behavior by Users of Sociocyberphysical Systems on Video 1 Introduction 2 Approaches to Assessing Aggressive Human Behavior 3 Methodology for External Naturalistic Observation of Behavior 3.1 Preliminary Search and Selection of Samples Containing Manifestations of Aggression 3.2 Marking up Procedure 3.3 Statistical Processing 4 Experiment Results 4.1 Assessment of the Differences in the Types of Aggression in Various Subject Situations 4.2 Assessment of the Difference in Accompanying Emotional and Behavioral Manifestations in Various Types of Aggression 4.3 Assessment of the Differences in Specific Aggressive Actions Specific for a Particular Type of Aggression 5 Discussion 6 Conclusion References Social Media Communities Topic Modeling 1 Introduction 2 A Brief Review of Topic Modeling Methods 3 The Features of Topic Modeling Methods Evaluation in Social Media Dataset 4 Experimental Results and Analysis 5 Conclusion References Modeling Theory Based on the Formal-Constructive Interpretation of the Model 1 Introduction 2 Methods 3 Results 3.1 Algebraic Approach to Model Building 3.2 Formal-Constructive Interpretation of the Model 3.3 Typical Conversions and Typical Combinations of Models 3.4 Fundamentals of the Theory of Adequacy 3.5 Axiomatic Definition of Adequacy 3.6 Multi-aspect Modeling. Models-Polyads 3.7 Elements of Strategy Theory 3.8 Internal Algebraic Representation of an Activity Strategy 3.9 External Algebraic Representation of an Activity Strategy 4 Discussions and Conclusion References A Cognitive Architecture for Mental Processes Involving Mental Models Analysed from a Self-modeling Network Viewpoint 1 Introduction 2 Self-modeling Network Models 2.1 Network Models 2.2 Modeling Adaptive Networks as Self-modeling Networks 3 Modeling the Cognitive Architecture for Mental Models as a Self-modeling Network 4 How Mental Models Can Be Used 5 How Mental Models Can Be Adapted 6 How Mental Model Adaptation Can Be Controlled 7 Discussion References Interdisciplinary Approach in the Development of Geographic Information Technologies 1 Introduction 2 Methods 3 Results and Discussions 3.1 Territory Management Support System 3.2 Goals and Benchmarks of Territory Management 3.3 Territorial Security Systems Against Man-Made Threats 3.4 Territorial Security Systems Against Natural Threats 3.5 Territorial Systems of Natural and Man-Made Emergencies 4 Conclusion References Algorithm for Group Planning of Movement on Uneven Surface for Ground Robots 1 Introduction 2 Path Planning for Group of Ground Robots in a 3D Environment 3 Experiment Results 4 Conclusion References Data Augmentation in Training Neural-Network Language Model for Ontology Population 1 Introduction 2 Related Work 3 Proposed Procedure for Concept Clarification and Training Set Augmentation 4 Evaluation 5 Conclusion References Application of Visual Programming Methods to the Design of Neural Networks 1 Introduction 1.1 A Subsection Sample 2 Materials and Methods 2.1 Analysis of Functional Requirements for Repository of Deep Neural Networks 2.2 Neural Network Life Cycle 2.3 Modular Programming 2.4 Visual Programming 3 Discussion of the Results of the Study 4 Conclusion References Modeling the Competence of Experts 1 Literature and Problem Review 1.1 Introduction 1.2 Review of Publications 2 Modeling the Competence of Experts 2.1 Trust Model 2.2 Expert Competence Model 2.3 Methodology for Modeling the Competence of Experts 3 Conclusion References Forecasting Stock Quotes by Generating a Differential Equation Based on the Statistical Data General Set 1 Introduction 2 Near-Periods Definition 3 Stock Price Forecasting Models 3.1 Intensive Growth Model 3.2 Limited Growth Model 3.3 Model-Based on the Stochastic Differential Equation 4 Numerical Experiments 4.1 Microsoft Analysis 4.2 IBM Analysis 4.3 Finding Near-Periods 4.4 Making a Forecast 4.5 Model Comparison 5 Conclusion References Computer Program for Calculating Pipelines Destruction Probability 1 Introduction 2 Methods. Description of the Program Algorithm 2.1 Structure of the Developed Program 2.2 Module “Calculation of Parameters of Defect Size Distributions” 2.3 Module “Formation of Real Fractures Parameters Distributions Tables” 2.4 Module “Probabilistic Analysis of Ductile Fracture” 3 Results. Examples of Calculations Using a Computer Program for Analyzing the Probability of Pipeline Destruction 4 Discussions. Comparison of the Results Obtained with Different Models 5 Conclusion References Harnessing Machine Learning and Big Data Analytics for Real-World Applications: A Comprehensive Survey 1 Introduction 2 Background 2.1 Big Data 2.2 Big Data Analytics 2.3 Machine Learning 3 Literature Review 3.1 Big Data Analytics and Machine Learning 4 Challenges 4.1 Dealing with Uncertain Data 5 Conclusion References Fine-Tuning GPT-3 for Russian Text Summarization 1 Introduction 2 Related Work 3 Dataset 4 Model Description 5 Experiments and Hyperparameter Tuning 6 Evaluation Metrics 7 Results 8 Analysis and Examples 9 Conclusion References Artificial Neural Networks for the Prediction of Mechanical Properties of Soils 1 Introduction 2 Methodology 2.1 Methodological Procedure 2.2 Theoretical Bases 3 Results and Discussions 3.1 Data Presentation 3.2 Data Analysis and Selection of Input Data 3.3 Architecture and Training Stage of ANN 3.4 Results of the Development of the Neural Network Model 3.5 Regression Analysis Was Performed 3.6 Search Results for the Best Neural Network 3.7 Normality Test 3.8 Validation of Artificial Neural Models 3.9 Comparative Table of the Coefficient of Determination (R2) and Pearson’s Correlation Coefficient (R) Between the Trained Neuronal Model vs the Validation of the Model 3.10 Comparative Table of the Dependent Variables Obtained Between the Predictions of the Neuronal Model vs the Soil Laboratory 4 Conclusion References Knowledge-Based Automated Service Composition for Decision Support Systems Configuration 1 Introduction 2 Related Work 3 Ontological Models 3.1 Service Description Model 3.2 Requirements Definition Model 4 Method for Automated Service Composition 5 System Architecture 6 Conclusion References A Model of Continuous Integration and Deployment of Engineering Software 1 Introduction 2 Model Description 3 Conclusion References Malicious Emails Classification Based on Machine Learning 1 Introduction 2 Related Works 3 Methodology 3.1 Data Set 3.2 Selected Algorithms 3.3 Extracting Attributes from Email 3.4 Research Method 4 Results and Discussion 4.1 Omitted Features 4.2 Set of Chosen Features 5 Conclusion References On Determining the Position of Expert Confidence Concentration Points When Modifying Membership Functions 1 Introduction 2 Literature Review 3 Methods 4 Conclusion References Computational Time Evaluation of the Various Methods of Parameter Estimation for Pareto Distribution 1 Introduction 2 Materials and Methods 2.1 Method of Moments Estimator 2.2 Method of Moments Modification I 2.3 Method of Moments Modification II 2.4 Method of Moments Modification III 2.5 Method of Moments Modification IV 2.6 Uniformly Minimum Variance Unbiased Estimators 2.7 Maximum Likelihood Estimator 3 Results 4 Conclusions References Knowledge and Datasets as a Resource for Improving Artificial Intelligence 1 Introduction 1.1 Artificial Intelligence and Role of Datasets 2 Design of Sharing Platform for Data Collection 2.1 Main Idea and Topology for Sharing Platform 3 Testing the ORBIS System 3.1 Knowledge Collection from Existing Tools 4 Conclusion References Knowledge Utilization and Code Reuse in Models Translation 1 Introduction 2 Expert System Integration into Distributed Storage of Models 3 Expert System Architecture 4 Synthesizing Knowledge Base 5 Expert System Implementation 6 Conclusion References Online Educational Platform as a Web Content Management System in the Organization of Student-Teacher Interaction 1 Introduction 2 Online Educational Platforms and Their Capabilities 3 Using an Online Educational Platform 4 Conclusion References From the Real World to the Virtual and Vice Versa: Recognition of Man-Made Objects and Structures and Augmented Reality as Tools for Digitalization of Natural Science Education 1 Introduction 2 Methodology 3 Results 4 Discussion 4.1 Recognition of a Program. Methodological Issues 4.2 Recognition of a Program. Technical Issues 4.3 Recognition of a Playing Field. Methodological Issues 4.4 Recognition of a Playing Field. Technical Issues 4.5 Augmented Reality. Methodological Issues 4.6 Augmented Reality. Technological Issues 5 Conclusion References Integrated Approach to Automation of a Wide Range of Forestry Industry Enterprises Based on Universal Platform Solutions 1 Introduction 2 Analysis of Solutions for the Automation of Forestry Enterprises 2.1 Large-Scale Enterprises in Forestry Industry 2.2 Expected Benefits of Digitalization in the Forestry Industry 2.3 Barriers to Digitalization in the Forestry Industry 2.4 Problem Statement 3 Related Work 4 Materials and Methods (Research Methodology) 5 Results and Discussion 6 Conclusion References The Impact of Digitalization on the Bank Competitiveness 1 Introduction 2 Studies on Digitalization and Bank’s Competitive Capacities 3 Modelling the Relationship Between the Bank’s Digitalization and Competitive Capacity 4 Conclusion References Artificial Intelligence as a Disruptive Technology for Digital Marketing 1 Introduction 2 Data Collection Mechanisms in Digital Marketing with the Help of Artificial Intelligence 3 Data Processing in Digital Marketing with the Help of Artificial Intelligence 4 Specific Techniques in Digital Marketing Applicable for Artificial Intelligence Implementation 5 Conclusions References Driver’s State Identification Based on the Vehicle Speed Analysis Taking into Account the Driving Context 1 Introduction 2 Research Approach 2.1 Dataset 2.2 Methodology 3 Experimentation Results 3.1 Driving Context Classification 3.2 Driver’s State Classification 4 Conclusion References Cloud-Based Architecture and Algorithms for Monitoring and Control of an Automated Greenhouse Complex 1 Introduction 2 Related Works 3 Materials and Methods 3.1 Service Architecture 3.2 Monitoring and Control Algorithms 4 Results 5 Conclusion References A State of Power Based Deep Learning Model for State of Health Estimation of Lithium-Ion Batteries 1 Introduction 2 Related Works 2.1 Model-Based Method 2.2 Data-Driven Method 3 Methodology 3.1 State of Power 3.2 State of Health 3.3 Battery Dataset 3.4 Framework 3.5 Evaluation Method 4 Performance Evaluation 4.1 Experimental Setup 4.2 Experimental Results 5 Conclusion References An Adaptive Network Model for the Changes in Human Behaviour in Response to the Spread of COVID-19 1 Introduction 2 Background Literature 3 The Self-modeling Network Modeling Approach Used 4 The Adaptive Network Model 4.1 The Social Network Model 4.2 The Adaptive Mental Network Model 5 Simulation Results 6 Conclusion and Discussion Appendix: More Details References Early Prediction of Chronic Kidney Disease Using Data Mining Techniques 1 Introduction 2 Related Works 3 Methodology 3.1 Preprocessing 3.2 Machine Learning Algorithm Implementation 3.3 K-Nearest Neighbor 3.4 Decision Tree Classifier 3.5 Support Vector Machine 3.6 Logistic Regression 3.7 Random Forest 4 Experimental Results 4.1 Accuracy 4.2 Recall 4.3 Precision 4.4 Area Under the ROC Curve 4.5 F1-Score 5 Conclusion References Utility Function Approach to Portfolio Selection Problem 1 Introduction 2 Methods 2.1 The Modified Utility Function Based on the Markowitz Model 2.2 Utility Maximization Problem for Portfolio Selection 2.3 Analysis of the k-Parameter in the Modified Utility Maximization Problem 3 Results 4 Discussions 5 Conclusion References Integrating Multilevel Adaptive Models to Develop Systematic, Transparent, and Participatory EIA Practice 1 Introduction 2 Concepts and Methodology 2.1 EIA Network Modelling 2.2 Investigated EIA Structures 3 The Network-Oriented Modeling Approach Used 4 The Designed Network Models 5 Simulation Results 5.1 Nonadaptive EIA Models 5.2 Actor Dominance Scenario 6 Discussion and Future Work Appendix: Specification of the Adaptive Model by Role Matrices References Modeling Context-Sensitive Metacognitive Control of Focusing on a Mental Model During a Mental Process 1 Introduction 2 Metacognitive Control of Mental Processes 3 Higher-Order Adaptive Network Models 4 A Mental Network Model for Metacognitive Control of Focusing on a Mental Model 5 Example Simulation Scenario 6 Discussion A Appendix: Full Specification by Role Matrices A.1 Role Matrices for Connectivity Characteristics A.2 Role Matrices for Aggregation Characteristics A.3 Role Matrices for Timing Characteristics References The Problem of Statistical Instability of Samples of Biosystems Requires New Invariants 1 Introduction 2 The Hypotheses of N. A. Bernstein, W. Weaver and Real Properties of STT 3 The Problem of Homogeneity of Samples xi(t) in Biocybernetics 4 Is It Possible to Define Invariants for STT? 5 Discussion 6 Conclusions References Adaptive Data Envelopment Analysis Models of Ecosystems of Megalopolises 1 Introduction 2 Methods 3 Results 4 Discussions 5 Conclusion References Time Detection of Malware Threads 1 Introduction 2 Theoretical Background 2.1 Malware 2.2 Ransomware as a Malware 3 Results 4 Conclusion References Analysis of the Effectiveness of National Research Support Systems Based on Neural Network Models 1 Introduction 2 Methods 3 Results 4 Discussions 5 Conclusion References Designing Smart Healthcare Systems Using Fuzzy Relations 1 Introduction 2 Smart Environment, Technologies and Smartness Features 3 Smart Clinic Design: Model Building Blocks 4 Designing Healthcare Using Fuzzy Relations 5 Methodology 6 Illustrative Case Example 7 Conclusion References Author Index