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Series: European Proceedings of Computers and Technology

Hybrid Methods of Modeling and Optimization in Complex Systems

Proceedings of International Workshop "Hybrid methods of modeling and optimization in complex systems" (in the framework of The Eleventh International Conference on Mathematical Models and their Applications), November 22-24, 2022, Krasnoyarsk, the Russian Federation


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Table of Contents

Articles

Original Article

OLAP Concept as a Basis for Business Analysis of Multidimensional Data Structures

Original Article

System of Automated Text Messages Clustering by Semantic Proximity Based on NLP and Machine Learning Methods

Original Article

Information and Signal Actions in the Cyber-Physical Systems Hierarchy Control

Original Article

Maple Information Tools in the Study of Mathematical Logic Questions

Original Article

Application of the Data Envelopment Analysis Method for Evaluating Operation of Technical Systems

Original Article

Modeling of the Aggregator-Platform for Historical and Cultural Data "Siberiana"

Original Article

Algorithm Development for Implementing the Information Resource Life Cycle Digital Twin

Original Article

Neutrosophy in Unconstrained Nonlinear Optimization

Original Article

Hierarchical Co-Evolution of Self-Configuring Bio-Inspired Algorithms for Production Scheduling With Priorities

Original Article

Influence of Class Imbalance on the Quality of Hydrocracking Unit Failure Prediction Models

Original Article

Multi-Swarm PSO With Success-History Based Adaptive Local Search for Dynamic Environments

Original Article

Selective Pressure Strategy in Multilevel Cooperative Coevolution for Solving LSGO Problems

Original Article

Application of Convolutional Neural Networks to Determine Induction Soldering Process Technological Stages

Original Article

Approach to Data Clustering Based on Molecular Chemical Reactions With Various Distance Measures

Original Article

A Neutrosophic Adaptive Recurrent Neural Network for Time-Varying Matrix Inversion

Original Article

Gradient Neural Dynamics Based on Modified Error Function

Original Article

Disk Drives Remaining Useful Life Prediction Using the Extreme Learning Machine

Original Article

Self-Configuring Evolutionary Algorithms Based Design of Hybrid Interpretable Machine Learning Models

Original Article

System for Automatic Grouping of Metadata of Three-Dimensional Models

Original Article

Slack Based Model for Enterprises’ Efficiency Improvement

Original Article

Adaptive Computing Technologies for Diagnostics and Control of UAVs With Fault-Tolerant On-Board Software