Data Stream Mining & Processing: Third International Conference, DSMP 2020, Lviv, Ukraine, August 21–25, 2020, Proceedings [1st ed.] 9783030616557, 9783030616564

Table of contents :
Front Matter ....Pages i-xiv
Front Matter ....Pages 1-1
On-Line Relaxation Versus Off-Line Spectral Algorithm in the Learning of Polynomial Neural Units (Vladyslav Kotsovsky, Anatoliy Batyuk)....Pages 3-21
The Principles of Organizing the Search for an Object in an Image, Tracking an Object and the Selection of Informative Features Based on the Visual Perception of a Person (Vitaliy Boyun)....Pages 22-44
Software and Algorithmic Support for Finite-Element Analysis of Anisotropic Heat-and-Mass Transfer Using Parallel and Cloud Technologies (Yaroslav Sokolovskyy, Andriy Nechepurenko, Ivan Sokolovskyy, Olha Mokrytska)....Pages 45-61
Hybrid Deep Convolutional Neural Network with Multimodal Fusion (Olena Vynokurova, Dmytro Peleshko, Marta Peleshko)....Pages 62-78
Modeling and Forecasting of Innovative, Scientific and Technical Activity Indicators Under Unstable Economic Situation in the Country: Case of Ukraine (Liubov Halkiv, Oleh Karyy, Ihor Kulyniak, Solomiya Ohinok)....Pages 79-97
The Issue of Efficient Generation of Generalized Features in Algorithmic Classification Tree Methods (Igor Povkhan, Maksym Lupei, Mykhailo Kliap, Vasyl Laver)....Pages 98-113
Technique of Metals Strength Properties Diagnostics Based on the Complex Use of Fuzzy Inference System and Hybrid Neural Network (Sergii Babichev, Bohdan Durnyak, Oleksandr Sharko, Artem Sharko)....Pages 114-126
Noise-Resistant Non-equidistant Data Conversion (Oleg Riznyk, Olga Myaus, Yurii Kynash, Roman Martsyshyn, Yuliya Miyushkovych)....Pages 127-139
An Empirical Mode Decomposition Based Method to Synthesize Ensemble Multidimensional Gaussian Neuro-Fuzzy Models in Financial Forecasting (Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Dmytro Peleshko)....Pages 140-149
Comparison Analysis of Clustering Quality Criteria Using Inductive Methods of Objective Clustering (Sergii Babichev, Aleksander Spivakovskiy, Jiří àkvor)....Pages 150-166
Assessing the Investment Risk of Virtual IT Company Based on Machine Learning (Hrystyna Lipyanina, Valeriya Maksymovych, Anatoliy Sachenko, Taras Lendyuk, Andrii Fomenko, Ivan Kit)....Pages 167-187
Methodological Support for the Management of Maintaining Financial Flows of External Tourism in Global Risky Conditions (Marharyta Sharko, Olha Liubchuk, Vira Fomishyna, Yuliia Yarchenko, Nadiia Fedorova, Natalia Petrushenko et al.)....Pages 188-201
Technology for Determining the Residual Life of Metal Structures Under Conditions of Combined Loading According to Acoustic Emission Measurements (Volodymyr Marasanov, Dmitry Stepanchikov, Artem Sharko, Oleksandr Sharko)....Pages 202-217
Expansion of the Capabilities of Chromatography-Mass Spectrometry Due to the Numerical Decomposition of the Signal with the Mutual Superposition of Mass Spectra (Serge Olszewski, Yeva Zajets, Violetta Demchenko, Oleg Boskin, Mariia Voronenko, Volodymyr Lytvynenko et al.)....Pages 218-237
Front Matter ....Pages 239-239
Statistical Methods for Analyzing and Processing Data Components When Recognizing Visual Objects in the Space of Key Point Descriptors (Volodymyr Gorokhovatskyi, Svitlana Gadetska, Oleksii Gorokhovatskyi, Roman Ponomarenko)....Pages 241-252
Sewer Pipe Defects Classification Based on Deep Convolutional Network with Information-Extreme Error-Correction Decision Rules (Viacheslav Moskalenko, Mykola Zaretskyi, Alona Moskalenko, Viktor Lysyuk)....Pages 253-263
Critical Modes of Photography: Light Sensitivity and Resolution (Maksym Korobchynskyi, Mykhailo Slonov, Myhailo Rudenko, Oleksandr Maryliv, Valentyn Pylypchuk)....Pages 264-274
Multiclass Image Classification Explanation with the Complement Perturbation Images (Oleksii Gorokhovatskyi, Olena Peredrii)....Pages 275-287
Image Enhancement in Automatic Mode by Recursive Mean-Separate Contrast Stretching (Sergei Yelmanov, Yuriy Romanyshyn)....Pages 288-306
Method of Speech Signal Structuring and Transforming for Biometric Personality Identification (Eugene Fedorov, Tetyana Utkina, Olga Nechyporenko, Yaroslav Korpan)....Pages 307-322
Method of Improving Instance Segmentation for Very High Resolution Remote Sensing Imagery Using Deep Learning (Volodymyr Hnatushenko, Vadym Zhernovyi)....Pages 323-333
Computer Vision System for Recognizing the Coordinates Location and Ripeness of Strawberries (Dmitry Khort, Alexey Kutyrev, Igor Smirnov, Volodymyr Osypenko, Nikolay Kiktev)....Pages 334-343
Front Matter ....Pages 345-345
Novel Nonparametric Test for Homogeneity and Change-Point Detection in Data Stream (Dmitriy Klyushin, Irina Martynenko)....Pages 347-356
Modeling of Animator Studio Control Service Functionality Using Data Mining Tools (Olga Smotr, Romanna Malets, Solomija Ljaskovska, Oksana Karabyn)....Pages 357-371
On-Line Data Processing, Simulation and Forecasting of the Coronavirus Disease (COVID-19) Propagation in Ukraine Based on Machine Learning Approach (Dmytro Chumachenko, Tetyana Chumachenko, Ievgen Meniailov, Pavlo Pyrohov, Ihor Kuzin, Roman Rodyna)....Pages 372-382
Detecting Items with the Biggest Weight Based on Neural Network and Machine Learning Methods (Vitaliy Danylyk, Victoria Vysotska, Vasyl Lytvyn, Svitlana Vyshemyrska, Iryna Lurie, Mykhailo Luchkevych)....Pages 383-396
Front Matter ....Pages 397-397
Product Development of Start-up Through Modeling of Customer Interaction Based on Data Mining (Viktor Morozov, Olga Mezentseva, Grigory Steshenko, Maksym Proskurin)....Pages 399-415
Developing a Simulation Model of the Information Gathering System Within the “Smart Packaging” Concept (Iryna Biskub, Lyubov Krestyanpol)....Pages 416-431
The Use of the “Digital Twin” Concept for Proactive Diagnosis of Technological Packaging Systems (Bogdan Palchevskyi, Lyubov Krestyanpol)....Pages 432-444
Identification of Predictors of Burnout Among Employees of Socially Significant Professions (Igor Zavgorodnii, Olha Lalymenko, Iryna Perova, Polina Zhernova, Anastasiia Kiriak)....Pages 445-456
Software for Shelter’s Fire Safety and Comfort Levels Evaluation (Yevgen Martyn, Olga Smotr, Nazarii Burak, Oleksandr Prydatko, Igor Malets)....Pages 457-469
Methods for Forecasting Nonlinear Non-stationary Processes in Machine Learning (Peter Bidyuk, Aleksandr Gozhyj, Irina Kalinina, Victoria Vysotska)....Pages 470-485
Bayesian Regression Approach for Building and Stacking Predictive Models in Time Series Analytics (Bohdan Pavlyshenko)....Pages 486-500
Forest Cover Type Classification Based on Environment Characteristics and Machine Learning Technology (Vasyl Kiyko, Vasyl Lytvyn, Lubomyr Chyrun, Svitlana Vyshemyrska, Iryna Lurie, Mykhailo Hrubel)....Pages 501-524
Approach for Modeling Search Web-Services Based on Color Petri Nets (Aleksandr Gozhyj, Irina Kalinina, Victor Gozhyj, Valeriy Danilov)....Pages 525-538
Intelligence Information Technologies for Financial Data Processing in Risk Management (Nataliia Kuznietsova, Peter Bidyuk)....Pages 539-558
Back Matter ....Pages 559-560