System Analysis and Artificial Intelligence (Studies in Computational Intelligence, 1107)

✍ Scribed by Michael Zgurovsky (editor), Nataliya Pankratova (editor)

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 468
• Category: Library

✦ Synopsis

This book contains the latest scientific work of Ukrainian scientists and their colleagues from other countries of the world in three interrelated areas: systems analysis, artificial intelligence and data mining. The included articles present the theoretical foundations and practical applications of the latest tools and methods of artificial intelligence, scenario planning, decision making and computational intelligence for important areas of human activity. The tools and methods presented in the book are continuously evolving and finding new applications across various fields, contributing to advancements and efficiencies in different industries: healthcare, finance, retail and E-commerce, manufacturing and industrial automation, transportation and logistics advancements and cybersecurity. The results of the book are useful to teachers, scientists, graduate students of universities and managers of large companies specializing in strategic planning, engineering design of complex systems, decision-making, optimization of operations and other related fields of knowledge and practice.

✦ Table of Contents

Preface
Contents
System Analysis of Processes and Phenomena of Different Nature
Approach to Development of Digital Twin Model for Cyber-Physical System in Conditions of Conceptual Uncertainty
1 Introduction
2 Related Papers
3 Approach to the Development of Digital Twin Model for Cyber Physical System Heater in Conditions of Conceptual Uncertainty
4 Models and Methods
4.1 The Analytical Model of Air Heating on an Electric Heater. Evaluation of the Model Parameters Influence on the Calculation's Accuracy
4.2 Identification of Mathematical Model Parameters
4.3 Results Estimation of Identification of Mathematical Model Parameters
5 Digital Twin Development for the Air Heating Process by an Electric Heater
5.1 Results of the Digital Twin Simulation
6 Conclusions
References
Constructing Mathematical Models for Actuarial Processes
1 Introduction
2 Problem Statement
3 Estimation of Mathematical Model Structure
4 Systemic Analysis of a Modeled Process
5 Preliminary Data Processing
6 Analysis of Data for Nonlinearity
7 Estimation of Other Elements of GLM Model Structure
8 Model Parameter Estimation
9 Model Diagnostics: Selection of the Best Model of the Candidates Constructed
10 Example of Model Constructing
11 Conclusions
References
Functional Planning Optimization of Exploiting Underground Space in Large Cities Using System Methodology
1 Introduction
2 City Building Conditions and Factors of Urban Development
3 Functional and Spatial Differentiation of Urban Territories
4 Application of System Methodology in Structural and Functional Planning of Underground Space
5 Conclusion
References
Analysis and Modelling of the Underground Tunnel Planning in Uncertainty Conditions
1 Introduction
2 Related Papers
3 Models and Methods
4 Algorithm for Converting to a Numerically Stable Matrix
5 Case Study
6 Computational Experiment
7 Conclusion
References
Stabilization of Impulse Processes of the Cognitive Map of Cryptocurrency Usage with Multirate Sampling and Coordination Between Some Nodes Parameters
1 Introduction
1.1 Problem Statement
2 Materials and Methods
2.1 Coordinating Control of the Impulse Process of a Fast CM Subsystem in a Stochastic Environment
2.2 The Conditional Minimization of the Ratio Discrepancies Variance and the Generalized Variance of the Fast-Measured CM Nodes
2.3 Stabilization of Impulse Processes of the CM Coordinate Subsystem with Slowly-Measurable Node Coordinates
3 Results
3.1 Experimental Study of the Stabilization System of Impulse Processes of the Fast-Measurable Subsystem of the CM with Coordination of the Coordinates Ratios
3.2 Experimental Study of the System of Stabilization of Impulse Processes of Slow-Measurable Coordinates of CM
4 Conclusion
References
Wireless Sensor Networks for Healthcare on SoA
1 Introduction
2 Activity Overview
3 Related Work
4 BSN Prototyping
5 Conclusions
References
Improving Predictive Models in the Financial Sector Using Fractal Analysis
1 Introduction
2 Applications of Fractal Analysis
3 Advanced Attributes
3.1 Transaction Activity Data
3.2 Digital Tracking Activity Data
4 Computing Advanced Attributes
4.1 Box-Counting Dimension
4.2 Compass Dimension
4.3 Correlation Dimension
4.4 Head-Tail Index
4.5 Spectral Analysis
4.6 Wavelet Analysis
5 Case Studies
5.1 Study 1: Predicting the Balance Transfer
5.2 Study 2: Predicting the Time Between Transactions
6 Conclusions
References
K-LR Modeling with Neural Economy and Its Utilization in Unclear Data
1 Cognitive Hierarchy as a Concept in Game Theory
2 K-LR Model as an Algorithm for Classification Tasks
2.1 Example of K-LR Model in Logistics Regression
2.2 Example of K-LR Model in Supply Chains
2.3 K-LR Dynamic Model as an Instrument for Adaptation to Changes
2.4 Generalization for Evaluating the Performance of K-LR Modeling
2.5 Determination K-LR Level for Human Thinking (Cognitively Level)
2.6 Future of K-LR Modeling and Other Possibilities
2.7 Examples of K-LR Model Graphs
3 Neural Economy as a Next Step for the Development and Its Utilization
3.1 Formalization of Principles of Using Neural Networks in Neural Economy
4 Conclusion
References
Artificial Intelligence Systems: Mathematical Foundations and Applications
Formalization and Development of Autonomous Artificial Intelligence Systems
1 Introduction
2 Building AASI in the Paradigm of Markov Decision Process (MDP)
3 Search of ε-Optimal Policies
4 General Conditions for the Existence of Optimal Strategies for MDPs
5 Scope of Potential Applications
6 Conclusions
References
Attractors for Differential Inclusions and Their Applications for Evolution Algorithms
1 Introduction
2 Setting of the Problem
3 Existence of Solution
4 Existence of Attractor
5 Algorithm for Finding Attractor Elements
References
System Analysis and Method of Ensuring Functional Sustainability of the Information System of a Critical Infrastructure Object
1 Introduction
2 Analysis of Literary Data and Statement of the Problem
3 Research Goals and Objectives
4 Research Materials and Methods
4.1 Parameters Describing the Process of Functioning of the Information System
4.2 Restoration of the Information System of the Enterprise After Diagnosing the Failed Module
5 Research Results
6 Discussion of Research Results
7 Conclusions
References
Intellectual Data Analysis and Machine Learning Approaches for Car Insurance Rates Reconstruction
1 Introduction
2 Statement of the Problem
3 Determination of Evaluation Metrics
4 Feature Selection
5 Feature Processing
6 Data Processing Issues
7 Correlation and Multicollinearity
8 Analysis of Results
9 Conclusion
References
On Generation of Daily Cloud-Free Satellite Images at High Resolution Level
1 Introduction
2 Non-Formal Statement of the Problem
2.1 Functional Spaces
2.2 Topographic Maps and Geometry of Satellite Multispectral Images
2.3 Texture Index of a Gray-Scale Image
3 Data Fusion Problem. Main Requirements to the Formal Statement
4 The Model for Prediction of Structural Prototypes
5 Variational Statements of the Data Fusion Problems (A1)–(A3)
6 Existence Result and Optimality Conditions for Constrained Minimization Problem (mathcalPk)
7 Conclusion
References
Computational Intelligence for Digital Healthcare Informatics
1 Introduction
2 Intelligent Health Informatics
3 Smart Health Monitoring Systems (SHMS) Paradigms and Models
4 Bio-inspired Computing
4.1 Artificial Neural Networks (ANN)
4.2 Support Vector Machines (SVM)
4.3 Genetic Algorithms (GA)
4.4 Evolutionary Computing (EC)
4.5 DNA Computing
5 Analogical Reasoning Computing (ARC) as Cognitive Models for Humans
6 Vagueness and Fuzzy Computing
6.1 Rough Sets
6.2 Fuzzy Rules
7 Deep Learning
8 Case Studies and Applications
8.1 CI for Thyroid Cancer Diagnosis
8.2 Heart Disease Expert System
8.3 Mining Patient Date for Determining Thrombosis Disease Using Rough Sets
8.4 Genetic Algorithms Approach for Mining Medical Data
8.5 An Agent-Based Modeling for Pandemic Influenza in Egypt
8.6 Daily Meal Planner Expert System for Diabetics Type-2 in Sudan
8.7 CI in Medical Volume Visualization (MVV)
9 Future Research Directions
9.1 CI for the Diagnoses of Alzheimer's Disease
9.2 Big Data Analytics and IoT in Healthcare
9.3 CI for Detecting Novel Corona's Virus
10 Conclusions
References
Continuous and Convex Extensions Approaches in Combinatorial Optimization
1 Introduction
2 Related Work
3 Convex Extensions of Functions Defined on Some Finite Sets
4 Convex Extensions for Polyhedral-Spherical Sets
5 Convex Extensions in Discrete Optimization
6 Convex Extensions in Combinatorial Optimization
7 Conclusions
References
Action Encoding in Algorithms for Learning Controllable Environment
1 Introduction
2 General Results
2.1 Preliminaries
2.2 Action Encoding
2.3 PCC: Prediction, Consistency, Curvature
2.4 PC3: Predictive Coding, Consistency, Curvature
2.5 Experiments
3 Conclusion
References
Comparison of Constrained Bayesian and Classical Methods of Testing Statistical Hypotheses in Sequential Experiments
1 Introduction
2 Description of the Investigated Methods of Hypotheses Testing
3 Comparison of Sequential Hypotheses Testing Methods
4 Conclusion
References
Investigation of Artificial Intelligence Methods in the Short-Term and Middle-Term Forecasting in Financial Sphere
1 Introduction. Analysis of Previous Works
2 The Description of the Evolving Hybrid GMDH-Neo-Fuzzy Network
2.1 Neo-Fuzzy Neuron as a Node of Hybrid GMDH-System
2.2 The Neo-Fuzzy Neuron Learning Algorithm
3 Experimental Investigation and Results Analysis
3.1 Data Set
3.2 Experimental Investigations of Hybrid DL Networks
3.3 General Comparison of All Methods: Hybrid DL Networks, GMDH and ARIMA
4 Experimental Investigations at Forecasting Dow-Jones
5 Conclusions
References
Neo-Fuzzy Radial-Basis Function Neural Network and Its Combined Learning
1 Introduction
2 Architecture of Neo-Fuzzy Radial Basis Function Stacking Neural Network (NF-RBFNN)
3 Combined Learning of NF-RBFNN
4 Computer Modelling
4.1 Actuality of the Problematic in the Cybersecurity Field
4.2 Models and Methods
4.3 Dataset
4.4 Computational Simulation
5 Conclusion
References
Investigations of Different Classes Hybrid Deep Learning Networks and Analysis of Their Efficiency in Forecasting
1 Introduction
2 Synthesis of Optimal Structure of Hybrid GMDH-Neo-Fuzzy Network
3 Neuro-Fuzzy Network with Small Number of Tuning Parameters as a Node of DL Network
4 Experimental Investigations and Analysis
5 Structure Optimization of Hybrid Neo-Fuzzy Network
6 Conclusions
References
Generalized Models of Logistics Problems and Approaches to Their Solution Based on the Synthesis of the Theory of Optimal Partitioning and Neuro-Fuzzy Technologies
1 Introduction
2 Materials and Methods
2.1 Classical Transportation Problem
2.2 Two-Stage Finite-Dimensional Transportation Problem
2.3 Infinite-Dimensional Transportation Problem and Continuous Optimal Allocation-Partitioning Problem
3 Results and Discussion
3.1 Two-Stage Continuous-Discrete Optimal Allocation-Partitioning Problem with Given Centers of Subsets in the Set to be Partitioned
3.2 Two-Stage Continuous-Discrete Optimal Partitioning-Allocation Problem with Allocation (Finding Coordinates) of the Subsets Centers in a Given Set to be Partitioned
3.3 Two-Stage Continuous-Discrete Optimal Partitioning-Allocation Problem with Fuzzy Parameters in the Objective Functional
3.4 Two-Stage Continuous-Discrete Optimal Partitioning-Allocation Problem with Neurolinguistic Identification of Functions Included in the Objective Functional, the Explicit Analytical Form of Which is Unknown
4 Conclusions
References
Intelligent Data Analysis for Complex Systems and Processes
Technological Principles of Using Media Content for Evaluating Social Opinion
1 Introduction
2 Materials and Methods
2.1 Identifying and Evaluating Information Sources
2.2 Semantic Search Engine Model
2.3 Method of Information Intent Mapping
3 Results
4 Discussion
5 Conclusions
References
Scenario Modelling in the Context of Foresight Studies
1 Introduction
2 Foresight
3 European Foresight Platform
4 The Place of Scenario Modeling in Foresight Studies
5 Classification of Scenarios and Scenario Development
6 Foresight Studies in the Countries of the World and in Ukraine
7 The Prospects for the Use of Artificial Intelligence for Forward Looking Research
8 Conclusion
References
Assessing the Development of Energy Innovations and Its Impact on the Sustainable Development of Countries
1 Introduction
2 Trends and Dynamics in the Development of Energy Innovations: Global Energy Innovation Index
3 Determination of the Impact of Energy Innovations on the Sustainable Development of Countries
4 Clustering of Countries According to the Main Indicators
5 Conclusion
References
Studies of the Intercivilization Fault Level Dynamics
1 Introduction
2 Data Framework and Methodology
2.1 Formation of a Group of Ethno-Cultural Indicators
2.2 Formation of the Group of Economic and Social Indicators
2.3 Formalization of Civilization Faults
3 Analysis of the Intercivilization Fault Level Dynamics
4 Conclusion
References
Exploring the Vulnerability of Social Media for Crowdsourced Intelligence Under a False Flag
1 Introduction
2 Classification of ``Crowdsourced Intelligence Under a False Flag'' Information Operations
3 Automatic Detection of Crowdsourced Intelligence Under a False Flag in Social Networks
4 Conclusions
References