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Ontological Engineering in Complex Systems Based on Meta-Associative Graphs Pattern Recognit. Image Anal. Pub Date : 2023-09-26 V. V. Borisov, A. E. Misnik
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The Method of Intellectual Support of Logistics Decision Making Based on Genetic Clustering and Fuzzy Modeling Pattern Recognit. Image Anal. Pub Date : 2023-09-26 V. V. Borisov, A. V. Ryazanov
Abstract— The paper proposes a method of intellectual support for the adoption of logistics decisions on the basis of genetic clustering and fuzzy modeling. The task was set and the solution of the interrelated tasks of dividing the territory of logistics services into zones, determining the required number of vehicles in the distribution of logistics orders by zones, and the assignment of vehicles
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Vibrating Machine Rotors Speed Control Using Heuristic Algorithm Pattern Recognit. Image Anal. Pub Date : 2023-09-26 B. R. Andrievsky, I. S. Zaitceva
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Formation of Digital Patient-Oriented Recommendations Based on Multilevel Granulation Pattern Recognit. Image Anal. Pub Date : 2023-09-26 T. V. Afanasieva, P. V. Platov
Abstract The development of digital technologies in the field of healthcare, disease prevention and patient awareness of existing diseases has led to the emergence of new patient support systems, called health recommendation systems. Based on the analysis of such systems, the article introduces the definition of patient-oriented systems, proposes models of patient health and digital patient-oriented
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Artificial Intelligence: Problems, Solutions, and Prospects Pattern Recognit. Image Anal. Pub Date : 2023-09-26 B. A. Kobrinskii
Abstract In the rapidly developing artificial intelligence, the explainability of the proposed hypotheses and confidence in the outstanding solutions remain important problem areas. The article discusses various approaches to explainability for users of the recommendations of computer systems that they receive. The differences in the concepts of transparency and explainability are pointed out. The
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Minimization of Empirical Risk as a Means of Choosing the Number of Hypotheses in Algebraic Machine Learning Pattern Recognit. Image Anal. Pub Date : 2023-09-26 D. V. Vinogradov
Abstract— The paper examines a new approach to assessing the number of required hypotheses about the causes of a target property. It follows the classical method of V.N. Vapnik and A.Y. Chervonenkis—minimization of the number of classification errors on the training sample. However, there is a very close analogy with the procedure of an abductive explanation of the training sample by V.K. Finn.
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Development of a System for Detecting an Unsuitable Marble Stone by Using Convolutional Neural Networks Pattern Recognit. Image Anal. Pub Date : 2023-09-26 A. S. Mokhov, D. A. Shestov, I. V. Shubin
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Semantic Technologies for the Development of Immersive Virtual Environments with Biofeedback Pattern Recognit. Image Anal. Pub Date : 2023-09-26 V. V. Gribova, V. O. Strekalev
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Knowledge and Data in Artificial Intelligence: A Duel or a Duo Pattern Recognit. Image Anal. Pub Date : 2023-09-26 T. A. Gavrilova
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Basic Trends of Decentralized Artificial Intelligence Pattern Recognit. Image Anal. Pub Date : 2023-09-26 V. I. Gorodetsky
Abstract Analysis of modern trends, advanced concepts, and projects in the field of information technologies shows the growing role of artificial intelligence, primarily decentralized artificial intelligence. The paper analyzes the advanced concepts of building new generation applications in the field of information technologies and relevant applied developments and provides a brief analysis of modern
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A Method of Optimal Control of a Technical System or Process Using the Neural Network Model and the Thompson Sampling Algorithm Pattern Recognit. Image Anal. Pub Date : 2023-09-26 L. S. Chernyshev
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Nonparametric System for Automatic Classification of Large-Scale Statistical Data Pattern Recognit. Image Anal. Pub Date : 2023-09-26 A. V. Lapko, V. A. Lapko, V. P. Tuboltsev
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Classification of Patient Emotions in Nonverbal Communication Based on Machine Learning Pattern Recognit. Image Anal. Pub Date : 2023-09-26 I. S. Kosachev, O. N. Smetanina
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Expansion of the Functionality of the Intellectual Psychological and Forensic System to Solve New Problems Pattern Recognit. Image Anal. Pub Date : 2023-09-26 S. M. Gusakova
Abstract The article describes methods that expand the functionality of an intellectual system for psychological and forensic research. The results of experiments conducted in an extended system are given.
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Application of Intelligent Methods of Correlation of System Events in Predictive Analysis of Security States of Objects of Critical Infrastructure Pattern Recognit. Image Anal. Pub Date : 2023-09-26 D. A. Levshun, I. V. Kotenko
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Exploring Opportunities to Identify Abnormal Behavior of Data Center Users Based on Machine Learning Models Pattern Recognit. Image Anal. Pub Date : 2023-09-26 I. V. Kotenko, I. B. Saenko
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Argument Extraction Based on the Indicator Approach Pattern Recognit. Image Anal. Pub Date : 2023-09-26 E. A. Sidorova, I. R. Akhmadeeva, I. S. Kononenko, P. M. Chagina
Abstract— The article considers an indicator approach to the extraction of arguments found in popular science literature. The types of argumentation indicators and their relationship to the set of discourse markers are presented, and a method of compiling an indicator dictionary is given. An approach to the use of argumentation indicators in deep learning methods based on the analysis of indicator
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Application of Evidence Theory for Training Fuzzy Neural Networks in Diagnostic Systems Pattern Recognit. Image Anal. Pub Date : 2023-09-26 V. K. Ivanov, B. V. Palyukh
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From Reinforcement Learning to Knowledge of Nature Pattern Recognit. Image Anal. Pub Date : 2023-09-26 V. G. Red’ko
Abstract The work analyzes the approach to the study of the processes of origin of methods of scientific cognition on the basis of models of cognitive agents. The importance of internal models of autonomous agents, as well as prediction processes by agents, is emphasized. Such internal models of agents and prediction processes are used in reinforcement learning. These internal models can be considered
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An Intelligent Decision Support System for Naval Logistics Pattern Recognit. Image Anal. Pub Date : 2023-09-26 E. I. Mukhitov, A. V. Kolesnikov
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Hybridization of Ontologies and Neural Networks in the Problems of Detecting Anomalies of Time Series Pattern Recognit. Image Anal. Pub Date : 2023-09-26 V. S. Moshkin, D. S. Kurilo, I. A. Andreev
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Automatic Methods for Extracting Taxonomic Relationships from Texts Pattern Recognit. Image Anal. Pub Date : 2023-09-26 N. V. Loukachevitch
Abstract An overview of approaches to automatic extraction of taxonomic relationships (is_a relationships) from texts, including classical methods based on lexico-semantic patterns and vector representations of words and their modern development, is provided. It also describes new approaches that are based on language models like BERT and use new options for working with lexico-semantic patterns, in
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A Parallel Discord Discovery Algorithm for a Graphics Processor Pattern Recognit. Image Anal. Pub Date : 2023-07-03 Ya. A. Kraeva, M. L. Zymbler
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Reversible Mapping of Relational and Graph Databases Pattern Recognit. Image Anal. Pub Date : 2023-07-03 A. M. Palagashvili, S. A. Stupnikov
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Tracking People in Video Using Neural Network Features and Facial Identification Taking into Account the Mask Mode Pattern Recognit. Image Anal. Pub Date : 2023-07-03 Shiping Ye, I. L. Kurnosov, R. P. Bohush, Guangdi Ma, Yang Weichen, S. V. Ablameyko
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An Analog of the Electronic Digital Signature Based on Codes Defining Images with Accuracy up to Affine Transforms Pattern Recognit. Image Anal. Pub Date : 2023-07-03 V. N. Kozlov
Abstract The first and long-standing option to protect a document from forgery (it is still used today) is the so-called “live” signature (or facsimile) and a clerical seal. However, nowadays the document flow is mostly electronic and often with a very large number of documents (electronic trading, bank payment systems, transactions in cryptocurrencies, etc.). The digital signature that emerged about
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Systematics and Biases in Observations of Supernovae Associated with Gamma-Ray Bursts Pattern Recognit. Image Anal. Pub Date : 2023-07-03 S. O. Belkin, A. S. Pozanenko
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An Extensible Approach to Searching and Selecting Data Sources for Materialized Big Data Integration in Distributed Computing Environments Pattern Recognit. Image Anal. Pub Date : 2023-07-03 V. V. Sazontev, S. A. Stupnikov
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Prompts in Few-Shot Named Entity Recognition Pattern Recognit. Image Anal. Pub Date : 2023-07-03 I. S. Rozhkov, N. V. Loukachevitch
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Reducing the Computational Complexity of Image Processing Using Wavelet Transform Based on the Winograd Method Pattern Recognit. Image Anal. Pub Date : 2023-07-03 P. A. Lyakhov, N. N. Nagornov, N. F. Semyonova, A. S. Abdulsalyamova
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The Generation of Human Handwriting in Russian Pattern Recognit. Image Anal. Pub Date : 2023-07-03 S. A. Fomin, S. A. Stupnikov
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Cross-Correlation Methods in Problem of Search and Identification of Transient Objects in Astronomical Images Pattern Recognit. Image Anal. Pub Date : 2023-07-03 E. A. Shekotihin, N. S. Pankov, A. S. Pozanenko, S. O. Belkin
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Image Neural Network Classifier by Detail Attributes Pattern Recognit. Image Anal. Pub Date : 2023-07-03 S. V. Sai, V. S. Nikonov
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Predictors Based on Convolutional Neural Networks for the Movement Strategy of Trainable Agents for Building Customized Image Descriptors Pattern Recognit. Image Anal. Pub Date : 2023-07-03 A. Samarin, A. Savelev, A. Toropov, A. Dzestelova, V. Malykh, E. Mikhailova, A. Motyko
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Some Scientific Results of the XXIV International Conference DAMDID/RCDL-2022 Pattern Recognit. Image Anal. Pub Date : 2023-07-03 D. I. Muromtsev, S. A. Stupnikov
Abstract— The paper discusses the main scientific results of the XXIV International Conference “Data Analytics and Management in Data Intensive Domains” DAMDID/RCDL-2022, held on October 4–7, 2022, in St. Petersburg, Russia. A historical review of the development of the conference was carried out. Motivation, goals of the conference, main areas of the subject, related conferences, and held associated
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Recognition of Local Anisotropies of Muon Fluxes Using Normalized Variations for Matrix Observations of the URAGAN Hodoscope Pattern Recognit. Image Anal. Pub Date : 2023-07-03 V. G. Getmanov, V. E. Chinkin, A. D. Gvishiani, M. N. Dobrovolsky, R. V. Sidorov, A. A. Soloviev, I. I. Yashin, A. N. Dmitrieva, A. A. Kovylyaeva
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Deep Reinforcement Learning for the Capacitated Pickup and Delivery Problem with Time Windows Pattern Recognit. Image Anal. Pub Date : 2023-07-03 A. G. Soroka, A. V. Meshcheryakov, S. V. Gerasimov
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One-Stage Classifiers Based on U-Net and Autoencoder with Attention for Recognition of Neoplasms from Single-Channel Monochrome Computed Tomography Images Pattern Recognit. Image Anal. Pub Date : 2023-07-03 A. Samarin, A. Savelev, A. Toropov, A. Dzestelova, V. Malykh, E. Mikhailova, A. Motyko
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Effects of Different Pretrained Deep Learning Algorithms as Feature Extractor in Tomato Plant Health Classification Pattern Recognit. Image Anal. Pub Date : 2023-05-18 Hou Ming Chong, Xien Yin Yap, Kim Seng Chia
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Pattern-Recognition Tools and Their Applications Pattern Recognit. Image Anal. Pub Date : 2023-05-18 M. V. Khachumov, V. M. Khachumov, A. K. Kovalev, A. I. Panov
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Term Frequency and Estimating the Closeness of Short Texts to the Semantic Standard Pattern Recognit. Image Anal. Pub Date : 2023-05-18 D. V. Mikhaylov, G. M. Emelyanov
Abstract This work deals with the interrelated problems of assessing the closeness of a text to the most rational (reference) form of conveying its sense and the formation of a reference text collection, in relation to which the assessment itself is performed. The texts under analysis for closeness to the semantic standard are abstracts of scientific articles together with their titles. The solution
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Anisotropic Localized Wavelets for Image Processing Pattern Recognit. Image Anal. Pub Date : 2023-05-18 Qingzheng Wang
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Controllable Image Caption Based on Adaptive Weight and Optimization Strategy Pattern Recognit. Image Anal. Pub Date : 2023-05-18 Jie Shao, Runxia Yang
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Fine-Grained Object Recognition Using a Combination Model of Navigator–Teacher–Scrutinizer and Spinal Networks Pattern Recognit. Image Anal. Pub Date : 2023-05-18 Nurhasanah, Yulianto, Gede Putra Kusuma
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Design and Implementation of Land Area Calculation for Maps Using Mask Region Based Convolutional Neural Networks Deep Neural Network Pattern Recognit. Image Anal. Pub Date : 2023-05-18 Akram A. Pathan, Nagaraj V. Dharwadkar
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Enhancement of Brain Magnetic Resonance Images Using Cascade of Notch Filter and Linear Transformation Methods Pattern Recognit. Image Anal. Pub Date : 2023-05-18 B. J. Shivaprasad, M. Ravikumar
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Reference-Corpus Formation for Estimating the Closeness of Topical Texts to the Semantic Standard Pattern Recognit. Image Anal. Pub Date : 2022-12-26 D. V. Mikhaylov, G. M. Emelyanov
Abstract Estimation of the closeness of a topical text to the most rational (i.e., standard) form of expression of the sense corresponding to it in the given natural language requires the existence of some representative reference collection (or corpus) of texts that reflect the most significant concepts of a given topical area and relationships between them. In the current study, the problem of forming
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Subjective Restoration of Omissions in the Measurement Data of an Object of Study and Its Mathematical Model Pattern Recognit. Image Anal. Pub Date : 2022-12-26 Yu. P. Pyt’ev, O. V. Falomkina, A. I. Chulichkov
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Deep Learning Algorithm for Maximizing the Spectral Efficiency of Wireless Systems Pattern Recognit. Image Anal. Pub Date : 2022-12-26 Evgeny Bobrov
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Hough Encoder for Machine Readable Zone Localization Pattern Recognit. Image Anal. Pub Date : 2022-12-26 S. Ilyuhin, A. Sheshkus, V. Arlazarov, D. Nikolaev
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ATM Cash Flow Prediction Using Local and Global Model Approaches in Cash Management Optimization Pattern Recognit. Image Anal. Pub Date : 2022-12-26 A. Riabykh, I. Suleimanov, D. Surzhko, M. Konovalikhin, V. Ryazanov
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Fast and Accurate Deep Learning Model for Stamps Detection for Embedded Devices Pattern Recognit. Image Anal. Pub Date : 2022-12-26 A. Gayer, D. Ershova, V. Arlazarov
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Finite Normal Mixture Models for the Ensemble Learning of Recurrent Neural Networks with Applications to Currency Pairs Pattern Recognit. Image Anal. Pub Date : 2022-12-26 A. K. Gorshenin, A. L. Vilyaev
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Reduction of Video Data at Translation of a Registered Object Relative to Video Sensors Based on the Eigenbasis of Interpretation Model Pattern Recognit. Image Anal. Pub Date : 2022-12-26 D. A. Balakin, Yu. P. Pyt’ev
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A Feature Fusion Technique for Dimensionality Reduction Pattern Recognit. Image Anal. Pub Date : 2022-10-19 E. Myasnikov
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Combining Text and Image Analysis Methods for Solving Multimodal Classification Problems Pattern Recognit. Image Anal. Pub Date : 2022-10-19 N. A. Andriyanov
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Software and Combinatorial-Probabilistic Tools for the Analysis of Random Point Structures Pattern Recognit. Image Anal. Pub Date : 2022-10-19 A. L. Reznik, A. A. Soloviev
Abstract Approaches to solving problems of processing random point images are described, which are based on the creation of high-performance software systems for carrying out labor-intensive analytical transformations. Original methods for calculating probabilistic relations expressed in the form of multidimensional integral expressions over convex polyhedra in n-dimensional space are implemented in
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Meta-Learning Approach in Diffractive Lens Computational Imaging Pattern Recognit. Image Anal. Pub Date : 2022-10-19 V. V. Evdokimova, S. A. Bibikov, A. V. Nikonorov
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Exploring Ensembling in Deep Learning Pattern Recognit. Image Anal. Pub Date : 2022-10-19 A. Bruno, M. Martinelli, D. Moroni
Abstract Ensembling is a very well-known strategy consisting in fusing several different models to achieve a new model for classification or regression tasks. Ensembling has been proven to provide superior performance in various contexts related to pattern recognition and artificial intelligence. The winners of public challenges in image analysis often adopt solutions based on ensembling. The idea
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Linear Blur Parameters Estimation Using a Convolutional Neural Network Pattern Recognit. Image Anal. Pub Date : 2022-10-19 A. V. Nasonov, A. A. Nasonova