Software-Analytical Calculation of Invariant Characteristics of Random Point Images Based on Order Statistics
A set of classification features of random point images is proposed for their use in problems of identifying anomalous concentrations in a processed data stream or, conversely, identifying areas and fragments with increased inter-element ...
Neural Network Language Models, Mutual Sense Affinity, and Short Text Ranking According to Closeness to a Semantic Standard
The selection of papers related to a given topic involves not only an analysis of the relevance of the vocabulary of each paper to the topic of interest of the end user, but also taking the ultimate goal of the user himself into account (i.e., for ...
Population Generation Methods for Metaheuristic Algorithms Used to Construct Compact Fuzzy Classifiers of Medical Data
Fuzzy classifiers differ from other machine learning algorithms in their ability to interpret the inference process, which is especially important in high responsibility subject areas such as medicine. The membership functions of fuzzy terms and ...
Assessing the Quality of Time Series Clustering Using a Permutation Test
One of the most important problems for research is the problem of time series clustering. Clustering is important in the tasks of identifying common dynamic changes between series and searching for patterns in the behavior of dynamics and, finally,...
The Seasonal Dynamics of Vegetation in an Anthropogenically Transformed Natural Environment Based on Multispectral Survey Data
Reconstruction of the anthropogenically transformed environment in order to identify areas of historical environmental management requires a comprehensive analysis of multispectral data. It includes the construction of maps of vegetation indices ...
Knowledge and Data in Artificial Intelligence Systems
The paper presents an analysis of the main approaches to creating artificial intelligence systems—an approach based on knowledge and data. The main advantages and limitations of each approach are highlighted. It is noted that, despite the great ...
Design Ontology: Genesis and Development
The issues of the genesis and development of design ontology as a scientific direction are considered, including research of the conceptual apparatus of the subject area and the development of a thesaurus based on it, analysis of the principles to ...
From Knowledge Engineering to Knowledge Science
This paper presents a brief analysis of modern sources of knowledge for artificial intelligence (AI) applications and discusses prospects of their development. It is shown that methods, algorithms, and technologies for knowledge extraction based ...
Ontology-Driven Knowledge Graph Construction in the Mathematics Semantic Library
The paper discusses an approach to constructing a knowledge graph based on a digital semantic library. The library ontology defines the data structure of the library content. Each data element loaded into the library can be associated with an ...
Ontological Patterns of Knowledge on the Diagnosis of Processes
Ontological patterns are a tool for reducing the labor intensity of developing intelligent software systems. The paper presents a pattern for a class of diagnostic tasks. It contains a complex of domain-independent semantic structures for the ...
Knowledge Engineering in Resilience Research of Energy and Ecological System
This article describes the application of ontological and cognitive modeling in the research of “elastic resilience” of energy and ecological systems. It outlines the processes of ontological and cognitive engineering, provides examples of ...
Object-Oriented Ontological Engineering Based on Meta-Associative Graphs
The object-oriented approach is one of the most common approaches to developing complex cyber-physical systems. It is based on representing a system as a set of interacting objects that work together to achieve the goals of the system. In the ...
Implementation of Requests to Hierarchical Graph Knowledge and Databases on the Intelligent Applications, Control, and Platform As a Service
This article presents mechanisms to support the formation and execution of ontological queries for an orgraphic coherent two-level model of information units (knowledge and data bases). The application of the proposed approaches in the processing ...
Organization of Secure Data Routing in Electric Power Complexes Using Ontological and Deep Models
Industrial development of structures of electrical power, electromechanical, and thermal technology complexes has a direct impact on the development of intelligent data distribution using the TCP/IP protocol. Existing traffic distribution and ...
On the Formation of Empirical Theories in Poorly Formalized Domains
The paper presents the problems of generating new knowledge using artificial intelligence in open empirical domains, where formal apparatus is largely absent and the procedures for forming theories are heuristic in nature. The issues of presenting ...
On the Problem of Explaining the Results of Intelligent Data Analysis
The possibilities of evaluating the acceptability of results generated by artificial intelligence (AI) systems in the process of intelligent data analysis (IDA) are evaluated. The explanations generated by the IDA system are one of the convenient ...
On Some Current Myths about Modern Artificial Intelligence
Several widespread myths accompanying modern research and development in the field of artificial intelligence (AI) are considered. Some judgments regarding the properties and capabilities of the so-called Large Language Models, strong AI, and the ...
Study of Web of Science Samples Using Neural Network Classifiers
The paper analyzes a text collection compiled from the Web of Science database. The study is aimed at assessing the quality of classification of scientific articles using modern neural network classifiers (all articles are given in the form of ...
Approach to Building a Dataset for the Problem of Extracting Argumentative Relations
The paper addresses data generation methods for training neural network models and solving problems of argument mining. Data preparation includes the creation of an annotated corpus and the generation of a dataset for a specific task and the ...
Intelligent System for Generating Meaningful Poetic Text
The study discusses modern approaches to generating poetic text. It carries out a comparative analysis of various language models and proposes and implements the architecture of natural language processing—a pipeline for the automatic generation ...
Optimization of the Temperature Regime of Phosphorite Pellet Roasting Using the Coevolutional Bee Colony Algorithm
The article examines the scientific and practical problem of increasing the energy and resource efficiency of chemical and technological processes to produce phosphorite pellets from waste apatite–nepheline ores. A promising way to solve this ...
Skill Learning with Empowerment in Reinforcement Learning
This paper considers a skill learning method that does not use information about a goal set for an agent. In reinforcement learning, such methods are called intrinsic motivation methods. The proposed algorithm is based on the calculation of the ...
Dynamic Formation of Robot Movement Route in Nondeterministic Environment with Bypassing Stationary and Nonstationary Obstacles
The work describes a hybrid algorithm for the dynamic formation of a robot’s movement route in nondeterministic environments with bypassing stationary and nonstationary obstacles for two-dimensional space, based on the integration of wave and ant ...
A Multiagent Technology for Organizing Manufacturing and Business Processes of Digital Enterprises
The use of fourth-generation digital industry platforms makes it possible to integrate production and business processes of digital enterprises. To increase the flexibility of forming value chains of interacting enterprises based on digital ...
Scenario-Information Analysis Method for Intelligent Management of Adaptive Training of Groups of Specialists
The work substantiates the need to intellectualize the management of adaptive training of groups of specialists to perform complex tasks coordinated in time, place and goals in organizational and technical systems for various purposes. An approach ...
Convolutional Variational Autoencoders and Resampling Techniques with Generative Adversarial Network for Enhancing Internet of Thing Security
The Internet of Things is a pivotal constituent of the contemporary technological revolution and has experienced expeditious expansion in recent times. The proliferation of Internet of Things devices has led to enhanced convenience and automation. ...
The Nonpolynomiality of the Number of Similarities for Random Training Sets
In this paper an additional argument is provided in favor of the probabilistic approach to knowledge extraction using the similarity operation (the VKF method) through the nonpolynomiality of the number of all candidates. More specifically, two ...
Remote Research System of Archaeological Sites Using Deep Learning
This work is devoted to the problem of detecting and studying archaeological sites based on methods of machine learning, mapping, and geophysics. The article discusses the methodology for mapping and surveying archaeological objects in the form of ...
Intelligent Model of Integrated Technological System for Ore Waste Processing
The work proposes a digital intelligent model of a complex technological system for processing ore waste, consisting of two technological lines. The model is based on the use of two deep recurrent neural networks, each of which serves as a digital ...
Approach to Detecting Attacks against Machine Learning Systems with a Generative Adversarial Network
Attacks on machine learning systems are increasingly becoming a factor reducing the effectiveness of these systems and compromising their safety. This work assesses existing attacks on machine learning systems and identifies classes of attacks ...