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[null,null,"Titolo",null,"Information and communication technologies in education, research, and industrial applications : 17th International Conference, ICTERI 2021, Kherson, Ukraine, September 28-October 2, 2021, revised selected papers / / by Vadim Ermolayev [and five others]"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"3-031-20834-X"]
[null,null,"Descrizione fisica",null,"1 online resource (281 pages)"]
[null,null,"Collana",null,"Communications in Computer and Information Science ; ; v.1698"]
[null,null,"Disciplina",null,"929.374"]
[null,null,"Soggetti",null,"Educational technology"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Contents -- The Fundamentals of ICT -- An Approach to Construct Final Random System with Output -- 1 Introduction -- 2 Related Work -- 2.1 Semantics Creation -- 2.2 Studying Deterministic Automaton with Outputs -- 2.3 Studying State Based Systems -- 2.4 Studying Random Systems with Outputs -- 2.5 Scientific Gap -- 3 Deterministic Systems with Output -- 4 Randomization as Endofunctor -- 5 Category of Random System with Output -- 6 Toward a Final Random System with Output -- 6.1 Functional Representation of Labelled Trees Without Leaves -- 6.2 Construction of a System -- 6.3 Construction of Morphisms Family -- 6.4 Conjecture About the Final Coalgebra -- 7 Conclusions -- Appendix A  Coalgebraic Notions and Notation -- Appendix B  Sequences and Related Notation -- References -- Algebraic Virtual Machine and Its Applications -- 1 Introducing the Algebraic Virtual Machine (AVM) Platform -- 2 Algebraic Server -- 3 Semantics of Discrete and Continuous Processes Modeling in AVM -- 4 Front-End Component -- 5 Adding New Methods -- 6 Method of Efficiency Estimation -- 7 Case Study 1. Consensus Algorithm Analysis -- 8 Case Study 2. Formalization of Continuous Processes in Thermodynamics -- 9 Current Status and Future Development -- References -- Cellular Technology Based Overlay Networks for the Secure Control of Intelligent Mobile Objects: Models and Numerical Study -- 1 Motivation -- 2 Work Related Analysis and Objectives -- 3 Methodology and Models -- 3.1 The Principles and Indicators -- 3.2 "]
[{"$nulls":4},"The Models -- 4 Algorithms for Overlay Network Nodes Operation -- 4.1 The Data Source Functioning Algorithm -- 4.2 The Destination Functioning Algorithm -- 5 Numerical Studies -- 5.1 Testing of the Topologies of Cellular Networks -- 5.2 Research of Sources of Denial into the Overlay Network -- 5.3 Discussion of the Research Results."]
[{"$nulls":4},"6 Conclusions -- References -- Learned and Native Concepts in Latent Representations of Terrain Images -- 1 Introduction -- 1.1 Related Research -- 1.2 Motivation -- 2 Materials and Methods -- 2.1 Methodology -- 2.2 Stacked Convolutional Autoencoder Model -- 2.3 Data -- 2.4 Training -- 2.5 Unsupervised Latent Structure -- 3 Results -- 3.1 Overall Characteristics, Stage 1 Distribution -- 3.2 Latent Distributions of External Classes -- 3.3 Unsupervised Categorization -- 3.4 Native Concepts in Unsupervised Learning -- 3.5 Unsupervised Learning of Native Concepts -- 3.6 Native and Learned Concepts -- 3.7 Generative Ability and Latent Landscape -- 4 Discussion -- 5 Conclusions -- References -- Natural Language Processing for the Ukrainian Language -- Automated Identification of Discourse Connectives in Ukrainian -- 1 Introduction -- 2 Related Work -- 2.1 NLP Resources for Ukrainian -- 2.2 Discourse Level Lexical Resources in Other Languages -- 2.3 Discourse Connectives and Text Genres -- 2.4 Automatic Detection of Discourse Connectives -- 3 Ukrainian Connective Lexicon Construction -- 3.1 Format of the Connective Lexicon -- 3.2 Semi-automatic Candidate Selection -- 3.3 Crowd-Sourced Correction -- 3.4 Expert Correction -- 4 UK-Dimlex: The Lexicon of Ukrainian Discourse Markers -- 4.1 Comparison to Other Connective Lexicons -- 5 Ukrainian Connectives in Spoken and Written Discourse -- 5.1 Data -- 5.2 Annotation -- 5.3 Results -- 6 Automatic Detection of Connectives -- 6.1 Automatic Extraction -- 6.2 Problematic Instances -- 6.3 Metrics and Results -- 7 Conclusion and Outlook -- References -- Evaluation and Analysis of the NLP Model Zoo for Ukrainian Text Classification -- 1 Introduction -- 2 Dataset -- 2.1 Data Sources -- 2.2 Data Preparation -- 2.3 Task Formulation -- 3 Model Zoo -- 3.1 Multilingual BERT -- 3.2 Slavic BERT -- 3.3 ukr-RoBERTa."]
[{"$nulls":4},"3.4 ukr-ELECTRA -- 3.5 mBART50 -- 3.6 XLM-R -- 3.7 Overview -- 4 Experiments -- 5 Results -- 5.1 Analysis -- 5.2 Model Interpretation -- 6 Conclusion -- References -- The Applications of Novel ICT -- An Information Technology for Detection and Fixing Effort Estimation of Business Process Model Structuredness Errors -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 Detection and Fixing Effort Estimation of Business Process Model Structuredness Errors -- 4.1 Improved Gateway Mismatch Measure -- 4.2 Detection of Business Process Modeling Errors -- 4.3 Effort Estimation of Business Process Modeling Error Fixing -- 4.4 Recommendations Formulation to Achieve Sound Business Process Models -- 5 Information Technology Design and Development -- 5.1 Conceptual Design of the Information Technology -- 5.2 Software Design and Development -- 6 Results and Discussion -- 6.1 Software Usage Examples -- 6.2 Sample Collection of Business Process Models -- 6.3 Analysis of Detected Errors and Estimated Effort -- 7 Conclusion and Future Work -- References -- Development of Software Architecture and Machine Learning Modules of Robo-Advisor System for Personalized Investment Portfolio Generation -- 1 Introduction -- 2 Related Works -- 2.1 Analysis of FinTech-Services -- 2.2 Main Robo-Advisors Features -- 3 Developing the High-Level Architecture of Robo-Advisor -- 4 Personalized Investment Portfolios Formation Approaches -- 4.1 Model of Investment Portfolio -- 4.2 Moving Average Forecasting Model -- "]
[{"$nulls":4},"4.3 Autocorrelation Stock Price Forecasting Model -- 4.4 Asset Yield Prediction Using Machine-Learning Techniques -- 4.5 Multiple LR and LSTM Neural Networks Application Examples -- 5 Discussion -- 6 Conclusions -- References -- Algebraic Modeling as One of the Methods for Solving Organic Chemistry Problems -- 1 Introduction."]
[{"$nulls":4},"2 Molecular Modeling: Related Works. Methods. Tools -- 3 Algebraic Approach. Method Brief Overview -- 4 Modeling of Molecular Interactions. Algebraic Approach -- 4.1 Modeling the Process of Atomic Bonds Creating (Valence Method) -- 4.2 Modeling of the Process of Constructing the Electronic Configuration of the Molecule (Molecular Orbital Method) -- 4.3 Modeling and Solving Some Simple Chemical Problems -- 4.4 Visualization of Simulation Results -- 5 Discussion and Conclusions -- References -- Performance Evaluation of Raspberry Pi 4B Microcomputer: Case Studies on MPICH Cluster, VMware ESXi ARM Fling, and Windows 11 ARM OS -- 1 Introduction -- 2 Weight-Based Load Balancing in Raspberry Pi MPICH Heterogeneous Cluster with Fuzzy Estimation of Node Computational Performance -- 2.1 Background -- 2.2 Weight-Based Load Balancing in Raspberry Pi MPICH Heterogeneous Cluster with Fuzzy Estimating of the Nodes Computational Performance -- 3 Performance Evaluation of Prime Numbers Finding Algorithm in Python on MPICH Cluster: Raspberry Pi 64-Bit OS vs Ubuntu Server on Hypervisor VMware ESXi ARM Fling -- 4 Performance Evaluation of 32-Bit Windows Application on Windows 11 ARM OS and Raspberry Pi 4B 8 GB: A Case Study of a Combinatorial Optimization Algorithm -- 5 Summary and Conclusion -- References -- ICT in Teaching and Learning -- Experimental Research of Educational Content Tracking by Students Group for Distance Learning -- 1 Introduction -- 2 Related Works -- 3 Research and Project Implementation -- 3.1 Calculation of Position of Eye Center and Pupil -- 3.2 Calibration of the Gaze Focus Coordinate on the Monitor with the Pupil Position -- 3.3 Eye Focus Calculation -- 3.4 Matching Eye Focus with a Content -- 4 Results and Discussion -- 4.1 Evaluation of the Gaze Focus Coordinates Measurement Error on the Monitor with One or Two Video Cameras."]
[{"$nulls":4},"4.2 Study of the Calibration Process Using a Single Camera on a Control Group of Students -- 4.3 Research of the Educational Content Usage According to the Gaze Focus on the Control Group of Students -- 5 Conclusions -- References -- Assessment of Test Items Quality and Adaptive Testing on the Rasch Model -- 1 Introduction -- 1.1 Problem Statement -- 2 Algorithm of Adaptive Testing Based on the Rasch Model -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Author Index."]