Information Technologies and Intelligent Decision Making Systems: Second International Conference, ITIDMS 2022, Virtual Event, December 12–14, 2022, ... in Computer and Information Science)

✍ Scribed by Arthur Gibadullin (editor)

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 187
• Category: Library

✦ Synopsis

This book constitutes the proceedings of the Second International Conference on Information Technologies and Intelligent Decision Making Systems, ITIDMS 2022, held as a virtual event, December 12–14, 2022.
The 14 papers presented in this volume were carefully reviewed and selected from 38 submissions. The conference was held with the aim of developing and exchanging international experience in the field of information, digital and intellectual technologies, within the framework of which proposals were formulated for digital, intellectual and infor-mation transformation, the development of computer models and the improvement of automated and computing processes. A distinctive feature of the conference is that it presented reports of authors from USA, Canada, Bangladesh, Uzbekistan and Russia. Researchers from different countries presented the process of transition of the information and digital path of development, presented the main directions and de-velopments thatcan improve the efficiency and development.

✦ Table of Contents

Preface
Organization
Contents
Algorithm for Solving the Problem of Multi-criteria Optimization of Poorly Formed Processes Based on the Construction of a Fuzzy Logic Model
1 Introduction
2 Materials and Methods
3 Results
4 Conclusion
References
PACTDet - An Artificially Intelligent Approach to Detect Pulmonary Illnesses: Pneumonia, Asthma, COVID-19, and Tuberculosis
1 Introduction
2 Literature Review
3 Methods and Materials
3.1 Collection of the Data Set and Statistical Analysis
3.2 Correlation Matrix
3.3 KNN Imputation
3.4 Machine Learning Algorithms
3.5 Parameter Tuning and Run Time Calculation
3.6 Cross Validation
3.7 Performance Metrics
4 Result
5 Discussion
5.1 Enhancing the Existing Work
5.2 Analysis of the Research Architecture
5.3 Analysis of the Performances of Machine Learning Algorithms
6 Conclusion
References
Detection of Video Image Modification Using a Classifier Based on Adaptive Resonance Theory
1 Introduction
2 An Approach to Determining the Fact of Video Data Modification Based on Frame Vectorization and the Use of the ART-2m Artificial Neural Network
3 Test Dataset
4 Application of a Classifier Based on ART-2m with a Hierarchical Memory Structure
5 Results
6 Conclusion
References
On the Reduction of Alternatives in the Process of Selecting Preferred Management Decisions
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
5 Conclusion
References
Performance Analysis of Machine Learning Algorithm on Cloud Platforms: AWS vs Azure vs GCP
1 Introduction
2 Literature Review
2.1 Supervised ML Algorithms’ Performance Comparison
2.2 ML Model Evaluation on Open-Source Data Mining Tools
2.3 Cloud Vendors’ Comparison: Services and Design Taxonomies
3 Methods
3.1 Datasets
3.2 Cloud Platforms
3.3 Algorithm
3.4 Procedure
4 Experimental Results
4.1 R Squared Value or Coefficient of Determination
4.2 Error Metrics
5 Discussion
6 Conclusion and Future Scope
References
Mathematical Modeling of the Translation Process and Its Optimization by the Criterion of Quality Maximization
1 Introduction
2 Materials and Methods
3 Model Terms and Definitions
4 Staged Mathematical Model of Translation Process
4.1 Estimation of a Translation Task Complexity
4.2 Source Text Pre-editing
4.3 Translation
4.4 Translation Quality Assessment
4.5 Translated Text Post-editing
4.6 Translator Training
5 Results
6 Discussion
7 Conclusion
References
Optimization with Quantum Algorithm that is Based on Grover’s Method
1 Introduction
2 Main Body
3 Literature Survey
4 Methods
5 Results
6 Conclusion
References
Evaluation of the Efficiency of Fault Tolerance Algorithms for Distributed Peer-To-Peer Worker Processes Connected Through a Key-Value Store
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
5 Conclusion
References
Investigation of the Possibility of Using Neural Networks to Predict the Concentration of Sodium in a Steam
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
5 Conclusion
References
Using Ensemble Machine Learning Methods for Regional Forecasting of Geocryological Manifestations (on the Example of the European North-East of Russia)
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
5 Conclusion
References
Deghosting Diffusion Model for Facial Attribute Editing via Differential Activations
1 Introduction
2 Related Work
3 Deghosting Diffusion Model
3.1 Prepare the Training Dataset
3.2 Deghosting Network
4 Experiment
4.1 Datasets and Evaluation Metrics
4.2 Experimental Settings
4.3 Effect of Deghosting Diffusion Mode
4.4 Compare to SOTA
4.5 Multi-attribute Editing
4.6 Limitation
5 Conclusion
References
Minimizing Defaultation in Lending Using Blockchain-Based Loan Management System
1 Introduction
2 Literature Review
3 Methodology
3.1 Adjusting the Value of Tokens to Paper Currency
3.2 Procedure for Providing Finances to Borrower and Securing It for Lenders
3.3 Evaluating the Potential Dangers
3.4 Raising Token Price and Determining Interest Rates to Reduce Credit Risk
4 Result Analysis
5 Conclusion
References
An Intelligent-Safe Network Traffic Distribution System in Cluster Mesh-Formations of Thermal-Technology Complexes
1 Introduction
2 Materials and Methods
2.1 Identification of Primary Device Segmentation Parameters
2.2 Traffic Load Forecasting
2.3 Making Decisions to Ensure Optimal Load and Safety
3 Results
4 Discussions
5 Conclusion
References
Computer Research and Stabilization of Dynamic Models of Conveyor Systems
1 Introduction
2 Models and Methods
3 Results of Computational Experiments
4 Discussion
5 Conclusion
References
Author Index