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Artificial intelligence : 19th Russian Conference, RCAI 2021, Taganrog, Russia, October 11-16, 2021, Proceedings / / Sergei M. Kovalev, Sergei O. Kuznetsov, Aleksandr I. Panov (editors)
| Artificial intelligence : 19th Russian Conference, RCAI 2021, Taganrog, Russia, October 11-16, 2021, Proceedings / / Sergei M. Kovalev, Sergei O. Kuznetsov, Aleksandr I. Panov (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (381 pages) |
| Disciplina | 006.3 |
| Collana | Lecture notes in computer science |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-030-86855-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464506003316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial intelligence : 19th Russian Conference, RCAI 2021, Taganrog, Russia, October 11-16, 2021, Proceedings / / Sergei M. Kovalev, Sergei O. Kuznetsov, Aleksandr I. Panov (editors)
| Artificial intelligence : 19th Russian Conference, RCAI 2021, Taganrog, Russia, October 11-16, 2021, Proceedings / / Sergei M. Kovalev, Sergei O. Kuznetsov, Aleksandr I. Panov (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (381 pages) |
| Disciplina | 006.3 |
| Collana | Lecture notes in computer science |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-030-86855-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910502983503321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the Seventh International Scientific Conference Intelligent Information Technologies for Industry (IITI'23) . Volume 2. / / Sergey Kovalev, Igor Kotenko, and Andrey Sukhanov, editors
| Proceedings of the Seventh International Scientific Conference Intelligent Information Technologies for Industry (IITI'23) . Volume 2. / / Sergey Kovalev, Igor Kotenko, and Andrey Sukhanov, editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] |
| Descrizione fisica | 1 online resource (359 pages) |
| Disciplina | 658.500285 |
| Collana | Lecture Notes in Networks and Systems Series |
| Soggetto topico | Artificial intelligence - Industrial applications |
| ISBN | 3-031-43792-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Bayesian Networks -- Bayesian Belief Network for Association Between Clusters of Social Media Users with Similar Personality Traits Profiles and Color Characteristics of Their Avatar Images -- 1 Introduction -- 2 Background -- 2.1 Psychometric Tests and Digital Traces -- 2.2 Clusterization -- 2.3 Bayesian Belief Networks -- 3 Results -- 3.1 Data Collection -- 3.2 Clusterization of Users with Respect to Their Personality Traits -- 4 Discussion -- 5 Conclusion -- References -- Algebraic Bayesian Networks: The Generation of the Network Canonical Representation -- 1 Problem Statement -- 2 Generation of the Comprehensive KP Canonical Representation -- 3 Chain Generation of the Canonical Representations -- References -- Quantification of Localization Uncertainty in One-Stage Object Detection -- 1 Introduction -- 2 Model -- 2.1 YOLOv5 Model Based on Epistemic Uncertainty -- 2.2 YOLOv5 Model Based on Aleatoric Uncertainty -- 3 Experiments -- 3.1 YOLOv5 Model Based on Epistemic Uncertainty -- 3.2 YOLOv5 Model Based on Accidental Uncertainty -- 4 Conclusion -- References -- Cyber Security in Industry 4.0 -- Security Evaluation Method for Perspective Types of Human-Computer Interfaces -- 1 Introduction -- 2 State of the Art -- 3 Method for Assessing the Security of Human-Computer Interfaces -- 3.1 Security Assessment -- 3.2 Usability Assessment -- 3.3 Input and Output Data of the Method -- 4 Experiments -- 5 Conclusion -- References -- Attacks Against Machine Learning Systems: Analysis and GAN-based Approach to Protection -- 1 Introduction -- 2 Related Work -- 3 Analysis of Related Work -- 4 GAN-Based Approach to ML System Protection -- 5 Conclusion -- References -- Comparative Analysis of Machine Learning Methods in Vulnerability Metrics Transformation -- 1 Introduction -- 2 Related Work.
3 Analysis Approach -- 4 Experimental Evaluation -- 5 Conclusion -- References -- An Approach to Early Computer Network Intrusion Detection Based on the Wavelet Transform Energy Spectra Analysis -- 1 Introduction -- 2 Related Works -- 3 Theoretical Background -- 4 Implementation of the Approach to the Application of Wavelet Analysis Based on Energy Spectra -- 5 Intrusion Detection Experiments and Discussion -- 6 Conclusion -- References -- Train Without Label: A Self-supervised One-Class Classification Approach for IoT Anomaly Detection -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Autoencoder for Self-supervised Learning -- 3.2 One-Class SVM Classifier -- 4 Experiments -- 4.1 Dataset -- 4.2 Baseline Models -- 4.3 Experiment Results -- 5 Conclusion -- References -- Decision-Making Module to Improve the Stability of the UAV Flight -- 1 Introduction -- 2 Development of a Decision-Making Module to Improve the Stability of the UAV Flight -- 3 UAV Flight State Machine -- 4 Decision-Making Module -- 5 Experimental Study -- 6 Conclusion -- References -- On the Formation of Approximate Descriptions of Cause-and-Effect Relationships During the Analysis of Empirical Data -- 1 Introduction -- 2 Mathematical Model of Approximate Cause-End-Effect Relationships -- 3 Trust to the Conclusion of the Existence of the Cause for the Consequences in the Approximate Analysis -- 4 Construction of Approximate Cause-and-Effect Relationships on Coverages of Causes and Consequences -- 5 Conclusion -- References -- About Explainable Machine Learning Models for Anomaly Detection in Cyber-Physical Systems -- 1 Introduction -- 1.1 About Deep Machine Learning for Industry Tasks -- 1.2 Reconstruction-Based Approach for Anomaly Detection in Cyber-Physical Systems -- 1.3 About Importance of Machine Learning Model Explanation. 2 Anomaly Detection and Interpretation Methods Overview -- 2.1 Anomaly Detection Methods -- 2.2 Deep Machine Learning Model Interpretability Methods -- 2.3 Related Datasets Overview -- 3 Method Description -- 3.1 Anomaly Detection Methods -- 4 Results, Conclusions and Future Plans -- References -- Intelligent Graph-Based Correlation of Security Events in Cyber-Physical Systems -- 1 Introduction -- 2 Related Works -- 3 Graph-Based Event Correlation -- 3.1 Overall Approach -- 3.2 Data Preprocessing -- 3.3 Event Similarity Analysis -- 3.4 Graph Generation -- 3.5 Node Classification -- 4 Experimental Evaluation -- 4.1 Dataset -- 4.2 Experiment Results -- 5 Discussion -- 6 Conclusion -- References -- Intelligent Medical Systems -- Classifier-Based Combined Measure of Syllable Pronunciation Similarity in Speech Rehabilitation -- 1 Introduction -- 2 Experiment -- 2.1 Data and Metrics Description -- 2.2 Metrics Applicability Analysis -- 2.3 The Data Sets for Classification and Selected Classifiers -- 2.4 Rebalancing Data -- 3 Results -- 4 Conclusion -- References -- Application of Computer Vision Technologies to Reduce Injuries in the Athletes' Training -- 1 Introduction -- 2 Diagnosis of the Musculoskeletal System Through Exercises -- 3 Computer Vision for Analysis of the Musculoskeletal System -- 4 Specialized Software for Computer Vision Aided Analysis of the Musculoskeletal System -- 5 The Example of an Athlete's Diagnosis -- 6 Further Development -- 7 Conclusion -- References -- Architecture of a Hybrid Clinical Decision Support System -- 1 Introduction -- 2 Publication Analysis -- 3 Clinical Decision Support System -- 3.1 Key Requirements -- 3.2 The Concept -- 3.3 System Architecture -- 3.4 Technologies -- 3.5 Workflow Scenario -- 3.6 Ontologies of Predictive Models -- 4 Implementation Experience -- 5 Conclusion -- References. Automation and Intellectualization for Industrial, Transport and Energetic Systems -- Synthesis of PLL in Capture Mode with a Fuzzy Controller of Quasi-Optimal Structure Based on the Maximum Condition of the Generalized Power Function -- 1 Introduction -- 2 Problem Formulation -- 3 Construction of a Corrective Loop of PLL Auto-Regulation -- 4 Modeling -- 5 Conclusions -- References -- Automated Discovery of Direct Speech to Increase Quality and Battery Saving in Telephony -- 1 Introduction -- 1.1 Wideband Mobile Communication Systems -- 1.2 Modeling of Wideband Communication -- 2 Using Emotional Reactions as Feedback -- 2.1 Role of Replicas -- 2.2 Spoken Versions of Direct and Indirect Speech -- 3 Study of Pauses in Speech -- 3.1 Methods of Study -- 3.2 The Ways to Expose Direct and Indirect Talks -- 4 Conclusion -- 4.1 Implementation -- References -- Temporal Prediction Models for Technological Processes Based on Predictive Analytics -- 1 Introduction -- 2 Problem Statement -- 3 Common Description -- 4 Structure Sensitivity of eTSS -- 5 Incremental Structuring of the Knowledge Base of eTSS -- 6 Conditions for Ensuring the Structural Sensitivity of the eTSS Model -- 7 Predictive Modeling on the Basis of eTSS -- 8 Experimental Research -- 9 Conclusion and Future Work -- References -- Distributed Control System of Protection of Autonomous Object, Based on Hybrid Technology of Artificial Intelligence -- 1 Introduction -- 2 Methodology for Building a Database of Intelligent System Precedents -- 3 Distributed Control System for the Protection of an Autonomous Object -- 4 Conclusions -- References -- Using Semantic Annotation of Tabular Data for Domain Knowledge Graph Population -- 1 Introduction -- 2 Related Works -- 3 The Proposed Approach -- 3.1 Problem Statement -- 3.2 Main Stages -- 3.3 Atomic Column Typing -- 3.4 Annotating Named Entity Columns. 3.5 Implementation -- 4 Case Study -- 5 Experimental Evaluation and Discussion -- 6 Conclusions -- References -- Robust Filtering of Nonlinear Stochastic Processes in Machine Learning Systems -- 1 Introduction -- 2 Problem Statement -- 3 Synthesis of the Robust Filtration Algorithm -- 4 Example -- 5 Conclusions -- References -- Selecting a Machine Learning Model to Optimize the Burner Digital Twin -- 1 Introduction -- 2 Formulation of the Problem -- 3 Description of Methods -- 4 Data Analysis -- 5 Model Training -- 6 Comparison of Methods -- 7 Conclusion -- References -- Modeling of Intuition in Human-Machine Decision-Making Complexes in the Management of Transport Systems -- 1 Problem Statement -- 2 Systematization and Specification of the Categorical Apparatus of the Study -- 3 Organizational and Technological Reliability of the Intelligent Transport Systems Functioning -- 4 Modeling Intuition Using Bayesian Networks -- 5 Example of Calculation -- 6 Conclusion -- References -- Intelligent Maintenance and Repair on Railway Transport -- 1 Introduction -- 2 State of the Problem -- 3 Optimization of the Railway Intellectualization Level of Railway Transport Systems -- 4 Existing Approaches to the Organization of Maintenance and Repair on Railways -- 5 Improving the Monitoring Technology and the Algorithm for Identifying Railway Infrastructure Facilities -- 6 Conclusion -- References -- Traction Induction Motor State Observer Based on an Luenberger Filter -- 1 Introduction -- 2 Problem Formulation -- 3 Synthesis of the Luenberger Filter for the State Observer of the Traction Induction Motor -- 4 Determination of the Rotational Speed and Adaptation to Changes in the Parameters of the Traction Asynchronous Motor -- 5 Result Analysis -- 6 Analysis of the Results -- 7 Conclusion -- References. Intelligent Monitoring of Transportation Processes Based on Dynamic Fuzzy PCA Analysis. |
| Record Nr. | UNINA-9910746293703321 |
| Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the sixth International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'22) / / Sergey Kovalev [and three others]
| Proceedings of the sixth International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'22) / / Sergey Kovalev [and three others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (533 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Artificial intelligence - Industrial applications
Artificial intelligence - Industrial applications - History |
| ISBN | 3-031-19620-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Organizing Institutes -- Conference Chairs -- Organizing Chair -- Organizing Vice-chairs -- Conference Organizers -- International Program Committee -- Contents -- Decision Making Intelligent Systems -- Knowledge Bases Engineering Based on Event Trees Transformations: A Case Study for Aircraft Diagnostics -- 1 Introduction -- 2 Background -- 2.1 Model-Driven Development: Basic Principles -- 2.2 MDD/MDA Implementation: Prototyping Expert Systems Based on Transformations (PESoT) -- 3 Case Study: Aircraft Diagnosics -- 3.1 Motivation -- 3.2 Main Steps of Knowledge Base Engineering with the Aid of PESoT -- 4 Discussion -- 5 Conclusion -- References -- Architecture of a Distributed Intelligence System for Data Mining Based on Case-Based Reasoning -- 1 Introduction -- 2 Distributed Intelligent Systems -- 2.1 Microservice Architecture -- 3 Case-Based Reasoning Data Mining -- 3.1 Example of Creating a Case Library Using a Case Library Microservice -- 3.2 Example of Extracting Cases -- 4 Distributed System Architecture -- 5 Conclusion -- References -- Category Technology to Design Intelligent Systems for Complicated Decisions -- 1 Introduction -- 2 Category Theory Understanding of the Patterns, Matching and Concretization -- 3 Category Technology for Design of Knowledge Based Intelligent Systems -- 4 An Example of Use of Category Technology - AI Level -- 5 An Example of Use of Category Technology - TC-Level -- 6 Controllable Autonomous Systems -- 7 Conclusion -- References -- Communication as a Basic Element of the Methodology for the Development of Intelligent Systems -- 1 Introduction -- 2 Theoretical Part -- 2.1 Research of the Intellectual Side of Classical Communication -- 2.2 Research of the Intellectual Side of Ontological Communication -- 2.3 Research of the Intellectual Side of DSM Communication.
3 Proposed Communication Form -- 4 Conclusion -- References -- Approach to the Implementation of Intelligent Low-Code Platforms -- 1 Introduction -- 2 Suggested Approach -- 3 Example -- 4 Conclusion -- References -- Collaborative Decision Support with Ontology-Based Neuro-Symbolic Artificial Intelligence: Challenges and Conceptual Model -- 1 Introduction -- 2 Tasks to Be Solved to Enable Collaborative Human-Machine Decision Support and Main Challenges -- 3 Ontology-Based Neuro-Symbolic AI: State of the Art -- 4 Conceptual Model -- 5 Conclusion -- References -- Integration of Intelligent and Mathematical Technologies for Decision Support in Research and Ensuring Energy Resilience -- 1 Introduction -- 2 Analysis of the Current State of Research in This Field and Approaches to the Definition of Resilience -- 3 Energy and Environmental Security -- 4 Quality of Life -- 5 Suggested Approaches and Methods for Realising the Research Goal and Objectives -- 5.1 Adapting the Concept of Situational Management to Resilience Research in Energy and Socio-Ecological Systems -- 5.2 Cognitive and Probabilistic Modelling for Risk Assessment -- 5.3 Integration of Intelligent and Mathematical Technologies -- 5.4 The Example of a Computational Experiment -- 6 Conclusion -- References -- Patterns in Smart Wireless Sensor Network Nodes -- 1 Introduction -- 2 State-of-The-Art, Problem and Solution Method -- 3 A Data Model -- 4 A Pattern Knowledge Matrix -- 5 The Algorithm for Calculating the Pattern Membership Function -- 6 The Pattern Selection Algorithm When Observing a Situational Vector with Quantitative Characteristics -- 7 An Example of Using the Software Implementation of the Pattern Inference Algorithm -- 8 Discussion -- 9 Conclusion -- References -- Intelligent Recommender System for Spatial Analysis -- 1 Introduction -- 2 Review of Literature -- 3 Problem Statement. 4 Principle of Adaptation of Spatial Analysis -- 5 Definition of Context -- 6 Experimental Investigation -- 7 Conclusion -- References -- Identification of Generalized Euclidean N-dimensional Information Space of Modeling and Decision-Making of a Specialist -- 1 Introduction -- 2 Relevance and Analysis of the State of the Problem -- 3 Task Setting -- 4 Theoretical Part -- 5 Practical Significance -- 6 Conclusion -- References -- Machine Learning and Its Applications -- Detection of Anomalies and Attacks in Container Systems: An Integrated Approach Based on Black and White Lists -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 4 Experiments -- 5 Discussion -- 6 Conclusions -- References -- Frequent Pattern Discovery as Table Constraint Satisfaction Problem -- 1 Introduction -- 2 Basic Notions -- 3 Constraint Programming Technology and Specialized Tables Application -- 4 The Proposed Method for Closed Pattern Discovery -- 5 Frequent Pattern Discovery -- 6 Conclusion -- References -- Methodology for Detecting Anomaly and Attack on Cloud Infrastructure Instances -- 1 Introduction -- 2 Related Works -- 3 Anomaly and Attack Detection Methodology -- 3.1 Agentless Approach for Collecting Metrics -- 3.2 Methodology for Detecting Anomaly and Attacks -- 4 Experimental Evaluation -- 4.1 Model Evaluation -- 4.2 Analysis of Experimental Evaluation Results -- 5 Conclusions -- References -- Sift Descriptor for Social Media User Accounts Matching -- 1 Introduction -- 2 Related Works -- 3 Problem Statement -- 4 Original Model -- 5 Adding a New Feature -- 5.1 SIFT -- 5.2 Content Matching Algorithm -- 6 Experiment -- 7 Discussion -- 8 Conclusion -- References -- Draft-Based Learning Model to Discover Data from a Cognitive Causal Model -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Formal Definition of DCML -- 4 Experiments. 5 Discussion of Results -- 6 Conclusion -- References -- Machine Learning-Based Predictive Modeling of Mechanical Properties of Coatings -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Conclusion -- References -- Synthesis of Estimation System for UAV Orientation with a Neural Network-Identifier -- 1 Introduction -- 2 Adaptive Dynamic Motion Model -- 3 UAV Automatic Control System -- 4 Construction of a Neural Network-Identifier -- 5 Conclusions -- References -- Hybrid Approach to Time Series Anomaly Detection Using LSTM Networks and Ontology -- 1 Introduction -- 2 Model, Structure and Description of the Anomaly Detection System -- 3 Ontological Analysis of the Results -- 4 Conclusions -- References -- Flexible Models of Management Over Socio-Technical Systems -- Intelligent Scoring of Publication Activities and Personal Share of Co-authorship in the Decision Support System for Rewarding University Employees -- 1 Introduction -- 2 Methodology for Encouraging the Author Publication Activity of Scientific Articles Based on the Share of Their Co-authorship Assessment -- 3 Results -- 4 Conclusions -- References -- Influence-Based Matrix Reconstruction Method -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Influence-Based Matrix Reconstruction Method (IMRA) -- 3.2 Theorem on the Convergence of an Iterative Process to a Solution -- 4 Experiments -- 5 Discussion of Results -- 6 Conclusions -- References -- Identification of Predictors for Estimation the Intensity of Relationships Between Users of Online Social Networks -- 1 Introduction -- 2 Background Review -- 3 Problem Statement -- 4 Research Methodology -- 4.1 Description of the Dataset Under Study -- 4.2 "Scheme with Priorities" -- 4.3 "Scheme with Characteristics" -- 4.4 Methods Used to Analyze the Data -- 5 Results -- 6 Inference -- 7 Conclusion -- References -- Intelligent Medical Systems. Information Granulating and Its Use in Descriptive and Predictive Analysis of Medical Data -- 1 Introduction -- 2 Basic Models for Representation of Information Granules -- 3 Methods for Creating Information Granules -- 4 Approach of Information Granulating of Medical Data in Descriptive and Predictive Analysis -- 5 Conclusion -- References -- Analysis of Micro-images of Skin Neoplasms Using Convolutional Neural Networks in an Intelligent Medical Information System for the Early Diagnosis of Melanoma -- 1 Introduction -- 1.1 The Early Melanoma Diagnosis Task -- 1.2 Application of Information Technologies and Artificial Intelligence Technologies in the Diagnosis of Melanoma -- 2 Neural Network Model for Solving the Problem of Image Analysis -- 2.1 Description of the Neural Network Model Architecture -- 2.2 Data Preprocessing Before Model Training -- 2.3 Neural Network Learning Process -- 3 Experimental Results -- 3.1 Segmentation Module Experiments -- 3.2 Analysis Module Experiments -- 4 Conclusion -- References -- Expert System for the Diagnosis of Orphan Diseases -- 1 Introduction -- 2 Knowledge Engineering -- 2.1 First Stage of Knowledge Extraction -- 2.2 Second Stage of Knowledge Extraction -- 3 Disease Model -- 4 Comparative Analysis Algorithm -- 5 Display and Explanation of Hypotheses -- 6 Platform for the Implementation of the System -- 7 System Testing -- 8 Conclusion -- References -- Data Mining Approach to Characterization of Bioactive Inorganic Scaffold Properties Using Synthetic Images -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 4 Discussion -- 5 Conclusion -- References -- Methods and Approaches for Predicting Speech Impairment After Brain Tumor Surgery -- 1 Introduction -- 2 Problem Statement -- 3 Development of a Model for Predicting Speech Disorders Based on EEG Results -- 4 Data Preparation. 4.1 Obtaining the Set of Features and Their Values. |
| Record Nr. | UNINA-9910627278703321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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