Data stream mining & processing : third international conference, DSMP 2020, Lviv, Ukraine, August 21-25, 2020 : proceedings

Data stream mining & processing third international conference, DSMP 2020, Lviv, Ukraine, August 21-25, 2020 : proceedings

Hybrid Systems of Computational Intelligence -- Machine Vision and Pattern Recognition -- Dynamic Data Mining & Data Stream Mining -- Big Data & Data Science Using Intelligent Approaches.

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Bibliographische Detailangaben
Körperschaft: IEEE International Conference on Data Stream Mining & Processing (VerfasserIn)
Weitere Verfasser: Babichev, Sergii (HerausgeberIn), Peleshko, Dmytro (HerausgeberIn), Vynokurova, Olena (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Cham, Switzerland Springer 2020
Schriftenreihe:Communications in computer and information science 1158
Schlagworte:
Data mining > Computational intelligence > Computer vision > Konferenzschrift > Data Mining > Big Data > Data Science > Maschinelles Sehen
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Titel Jahr Verfasser
Technique of Metals Strength Properties Diagnostics Based on the Complex Use of Fuzzy Inference System and Hybrid Neural Network 2020 Babichev, Sergii
Multiclass Image Classification Explanation with the Complement Perturbation Images 2020 Gorokhovatskyi, Oleksii
Assessing the Investment Risk of Virtual IT Company Based on Machine 2020 Lendyuk, Taras
Technology for Determining the Residual Life of Metal Structures Under Conditions of Combined Loading According to Acoustic Emission Measurements 2020 Marasanov, Volodymyr
Critical Modes of Photography: Light Sensitivity and Resolution 2020 Korobchynskyi, Maksym
Modeling of Animator Studio Control Service Functionality Using Data Mining Pools 2020 Smotr, Olga
The Use of the "Digital Twin" Concept for Proactive Diagnosis of Technological Packaging Systems 2020 Palchevskyi, Bogdan
Detecting Items with the Biggest Weight Based on Neural Network 2020 Danylyk, Vitaliy
Software for Shelter’s Fire Safety and Comfort Levels Evaluation. . 2020 Martyn, Yevgen
Intelligence Information Technologies for Financial Data Processing 2020 Kuznietsova, Nataliia
On-Line Relaxation Versus Off-Line Spectral Algorithm in the Learning of Polynomial Neural Units 2020 Kotsovsky, Viadyslav
Comparison Analysis of Clustering Quality Criteria Using Inductive Methods of Objective Clustering 2020 Babichev, Sergii
Sewer Pipe Defects Classification Based on Deep Convolutional Network with Information-Extreme Error-Correction Decision Rules 2020 Moskalenko, Viacheslav
Image Enhancement in Automatic Mode by Recursive Mean-Separate Contrast Stretching 2020 Yelmanov, Sergei
Method of Improving Instance Segmentation for Very High Resolution Remote Sensing Imagery Using Deep Learning 2020 Hnatushenko, Volodymyr
Developing a Simulation Model of the Information Gathering System Within the “Smart Packaging” Concept 2020 Biskub, Iryna
Methods for Forecasting Nonlinear Non-stationary Processes 2020 Bidyuk, Peter
Forest Cover Type Classification Based on Environment Characteristics 2020 Lurie, Iryna
Noise-Resistant Non-equidistant Data Conversion 2020 Riznyk, Oleg
Software and Algorithmic Support for Finite-Element Analysis of Anisotropic Heat-and-Mass Transfer Using Parallel and Cloud Technologies 2020 Sokolovskyy, Yaroslav
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