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8th COLINS 2024: Lviv, Ukraine
- Vasyl Lytvyn, Agnieszka Kowalska-Styczen, Victoria Vysotska:
Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Machine Learning Workshop, Lviv, Ukraine, April 12-13, 2024. CEUR Workshop Proceedings 3664, CEUR-WS.org 2024 - Yevgeniy V. Bodyanskiy, Alina Shafronenko, Diana Rudenko, Anton Plubiekhin, Dmytro Frolov:
Online Image Segmentation using Сredibilistic Fuzzy Clustering. 1-10 - Oleksii Smirnov, Eugene Fedorov, Anastasiia Neskorodieva, Tetiana Neskorodieva:
Intellectual Classification method of Gymnastic Elements Based on Combinations of Descriptive and Generative Approache. 11-23 - Vasyl Lytvyn, Dmytro Dudyk, Ivan Peleshchak, Roman Peleshchak, Petro Pukach:
Influence of the Number of Neighbours on the Clustering Metric by Oscillatory Chaotic Neural Network with Dipole Synaptic Connections. 24-34 - Roman Peleshchak, Bohdan Kyshakevych, Bohdan Demediuk, Yaroslav Kis, Oleh Peleshchak:
A Vector Error Correction Model Approach to Analyze the Causality Among SME Export-Import Activity and the Economic Development of EU Countries. 35-47 - Artem Sharko, Oleksandr Sharko, Dmitro Stepanchikov, Artem Yanenko:
Monitoring State of Marine Plain Bearings Based on Exponential Degradation Model. 48-58 - Georgiy Yaskov, Andrii Chuhai, Yelyzaveta Yaskova, Andrii Zhuravka:
Intelligent System for Planning Treatment of Retinopathy with Laser Technology. 59-69 - Oleh Veres, Pavlo Ilchuk, Olha Kots:
Application of Machine Learning Methods for Forecasting Real Estate Value. 70-93 - Vasyl Lytvyn, Roman Peleshchak, Ihor Rishnyak, Bohdan Kopach, Yuriy Gal:
Detection of Similarity Between Images Based on Contrastive Language-Image Pre-Training Neural Network. 94-104 - Victoria Vysotska, Serhii Vladov, Ruslan Yakovliev, Alexey Yurko, Andrii Voronin:
Neuro-Fuzzy Methods for Detecting Sensor Failures in Helicopters Turboshaft Engines. 105-123 - Oleksii Gorokhovatskyi, Nataliya Vnukova, Viktoriia Ostapenko, Viktoriia Tyschenko:
Semantic-based Clustering for Education-Science-Business Interaction Bibliometric Analysis. 124-140 - Nataliia Kussul, Vlada Svirsh, Bohdan Potuzhnyi:
Integrated Geospatial Analysis for Rural Development Metrics. 141-160 - Victoria Vysotska, Kirill Smelyakov, Nataliia Sharonova, Eugen Vakulik, Oleksii Filipov, Ruslan Kotelnykov:
Fast Color Images Clustering for Real-Time Computer Vision and AI System. 161-177 - Sergii V. Khlamov, Vadym E. Savanevych, Vladimir Vlasenko, Emil Hadzhyiev:
Automated Data Mining of the Single Objects from Blurred Astronomical CCD Frames Using the Lucy-Richardson Deconvolution. 178-191 - Ivan Peleshchak, Diana Koshtura, Mykhailo Luchkevych, Volodymyr Tymchuk:
Classification of Dynamic Objects Using a Multilayer Perceptron. 192-203 - Mamata Das:
Predicting Protein Subcellular Localization of E. coli Bacteria Using Machine Learning Classifiers. 204-214 - Vasyl Teslyuk, Ivan Tsmots, Roman Tkachenko, Pavlo Tkachenko, Vasyl Rabyk, Yurii Opotyak, Oleksandr Oliinyk:
Implementation of Neuro-like Network Defuzzifier for Mobile Platform Motion Control System. 215-231 - Bohdan Melnyk, Serhiy Sveleba, Ivan Katerynchuk, Ivan Kunyo, Volodymyr Franiv:
Multilayer Neural Network Training Error when AMSGrad, Adam, AdamMax Methods Used. 232-254 - Victoria Vysotska, Nataliia Sharonova, Mariya Shirokopetleva, Oleksandr Dolhanenko, Anastasiya Chupryna, Serhii Smelyakov:
Research of Methods for Image Sharpness Evaluation in Photos of People. 255-272 - Viacheslav Kovtun, Oksana V. Kovtun:
The Concept of Efficient Utilization of the Uplink Frequency Resource of a Smart Factory 5G Cluster by IIoT Devices. 273-283 - Abdel-Badeeh M. Salem, Rostyslav Yurynets, Zoryna Yurynets, Grzegorz Konieczny, Paulina Kolisnichenko:
Forecasting the Dynamics of Cryptocurrency Rates Based on Logistic Regression. 284-295 - Nataliia Kunanets, Yuriy Shcherbyna, Volodymyr Karpiv:
Harnessing the Advantages of Binary Networks for Neural-Symbolic Computing. 296-315 - Serhiy Semerikov, Dmytro Zubov, Andrey Kupin, Maxim Kosei, Vladyslav Holiver:
Models and Technologies for Autoscaling Based on Machine Learning for Microservices Architecture. 316-330 - Olga Cherednichenko, Dmytro Chernyshov, Dmytro Sytnikov, Polina Sytnikova:
Generalizing Machine Learning Evaluation through the Integration of Shannon Entropy and Rough Set Theory. 331-341 - Olga Cherednichenko, Nataliia Sharonova, Ganna Pliekhova, Nadiia Babkova:
Intelligent Methods of Secure Routing in Software-Defined Networks. 342-351
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