| DC Field | Value | Language |
|---|
| dc.contributor.author | Tymoshenko, Kateryna | |
| dc.contributor.author | Vysotska, Victoria | |
| dc.coverage.temporal | 23-24 April 2020, Lviv, Ukraine | |
| dc.date.accessioned | 2020-06-12T11:10:32Z | - |
| dc.date.available | 2020-06-12T11:10:32Z | - |
| dc.date.created | 2020-04-23 | |
| dc.date.issued | 2020-04-23 | |
| dc.identifier.citation | Tymoshenko K. Algorithm of Text Recognizing in Ukrainian on the Video Mode / Kateryna Tymoshenko, Victoria Vysotska // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 81–89. — (Computational Linguistics). | |
| dc.identifier.issn | 2523-4013 | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/52193 | - |
| dc.description.abstract | OCR technology for recognizing text in Ukrainian is imperfect. The
Android operating system contains a character repository of many languages,
but not the Ukrainian. Therefore, we propose a method and algorithm for
recognizing text in Ukrainian and modifying it for video mode. | |
| dc.format.extent | 81-89 | |
| dc.language.iso | en | |
| dc.publisher | Видавництво Львівської політехніки | |
| dc.publisher | Lviv Politechnic Publishing House | |
| dc.relation.ispartof | Computational linguistics and intelligent systems : proceedings of the 4nd International conference (2), 2020 | |
| dc.relation.uri | http://mest.meste.org/MEST_1_2015/Sadrzaj_eng.html | |
| dc.relation.uri | http://mest.meste.org/MEST_1_2015/5_15.pdf | |
| dc.relation.uri | http://www.pan-ol.lublin.pl/wydawnictwa/Econtechmod.html | |
| dc.title | Algorithm of Text Recognizing in Ukrainian on the Video Mode | |
| dc.type | Article | |
| dc.rights.holder | © Національний університет “Львівська політехніка”, 2020 | |
| dc.contributor.affiliation | Lviv Polytechnic National University | |
| dc.format.pages | 9 | |
| dc.identifier.citationen | Tymoshenko K. Algorithm of Text Recognizing in Ukrainian on the Video Mode / Kateryna Tymoshenko, Victoria Vysotska // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 81–89. — (Computational Linguistics). | |
| dc.relation.references | 1. De Campos T. E. “Character Recognition in Natural Images in the Proceedings of the International Conference on Computer Vision Theory and Applications” − Lisbon, Portugal, February − 2009. | |
| dc.relation.references | 2. Yokobayashi M. “Binarization and recognition of degraded characters using a maximum separation axis in the color space” / Wakahara T. − Vol. 2nd − 2006 − pp. 885−888. | |
| dc.relation.references | 3. Pan Y. “Text localization in natural scene images based on a conditional random field in the International Conference on Document Analysis and Recognition” / Hou X., Liu C. - 2009. | |
| dc.relation.references | 4. Demchuk, A., Lozynska, O.: The Typhlocomments Rules for Audiodescription System of the Video Content Formation for People with Visual Impairments. In: Computational Linguistics and Intelligent Systems, COLINS, 2, 53-59. (2018) | |
| dc.relation.references | 5. Lytvyn, V., Vysotska, V., Mykhailyshyn, V., Rzheuskyi, A., Semianchuk, S.: System Development for Video Stream Data Analyzing. In: Advances in Intelligent Systems and Computing, 1020, 315-331. (2020) | |
| dc.relation.references | 6. Литвин В. В., Висоцька В. А., Михайлишин В. Ю., Сем'янчук С. О. Розроблення інформаційної системи аналізу даних відеопотоку // Інтелектуальні системи прийняття рішень та проблеми обчислювального інтелекту : збірка наукових праць Міжнародної наукової конференції (с. Залізний Порт, 21–25 травня 2019 р.). – 2019. – C. 94–97 | |
| dc.relation.references | 7. Veres, O., Rishnyak, I., Rishniak, H.: Application of Methods of Machine Learning for the Recognition of Mathematical Expressions. In: Computational linguistics and intelligent systems, COLINS, 378-389. (2019) | |
| dc.relation.references | 8. Bakumenko, N., Strilets, V., Ugryumov, M.: Application of the C-Means Fuzzy Clustering Method for the Patient's State Recognition Problems in the Medical Monitoring System. In: Computational linguistics and intelligent systems, COLINS, 218-227. (2019) | |
| dc.relation.references | 9. Dovbysh, A., Shelehov, I., Pylypenko, S., Berest, O.: Estimation of Informativeness of Recognition Signs at Extreme Information Machine Learning of Knowledge Control System. In: Computational linguistics and intelligent systems, COLINS, 143-152. (2019) | |
| dc.relation.references | 10. Dovbysh, A., Alieksieiev, V.: Embedding Speech Recognition Tools for Custom Software: Engines Overview. In: Computational Linguistics and Intelligent Systems, COLINS, 2, 114-121. (2018) | |
| dc.relation.references | 11. Lytvyn, V., Vysotska, V., Pukach, P., Bobyk, І., Uhryn, D.: Development of a method for the recognition of author’s style in the Ukrainian language texts based on linguometry, stylemetry and glottochronology. In: Eastern-European Journal of Enterprise Technologies, 4(2-88), 10-19. (2017) | |
| dc.relation.references | 12. Lytvyn, V., Peleshchak, I., Vysotska, V., Peleshchak, R.: Satellite spectral information recognition based on the synthesis of modified dynamic neural networks and holographic data processing techniques. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 330-334. (2018) | |
| dc.relation.references | 13. Zdebskyi, P., Vysotska, V., Peleshchak, R., Peleshchak, I., Demchuk, A., Krylyshyn, M.: An Application Development for Recognizing of View in Order to Control the Mouse Pointer. In: CEUR Workshop Proceedings, Vol-2386, 55-74. (2019) | |
| dc.relation.references | 14. Shu, C., Dosyn, D., Lytvyn, V., Vysotska V., Sachenko, A., Jun, S.: Building of the Predicate Recognition System for the NLP Ontology Learning Module. In: International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS, 2, 802-808. (2019) | |
| dc.relation.references | 15. Kazarian, A., Teslyuk, V., Tsmots, I., Tykhan, M.: Implementation of the Face Recognition Module for the “Smart” Home Using Remote Server. In: Advances in Intelligent Systems and Computing III, AISC 871, Springer, 17–27. (2019) | |
| dc.relation.references | 16. Komar, M., Golovko, V., Sachenko, A., Bezobrazov, S.: Development of neural network immune detectors for computer attacks recognition and classification. In: International Conference on Intelligent Data Acquisition and Advanced Computing Systems, IDAACS, 665-668. (2013) | |
| dc.relation.references | 17. Paliy, I., Turchenko, V., Koval, V., Sachenko, A., Markowsky, G.: Approach to recognition of license plate numbers using neural networks. In:International Conference on Neural Networks – Conference Proceedings, 2965-2970. (2004) | |
| dc.relation.references | 18. Furgala, Yu.M., Rusyn, B.P.: Peculiarities of melin transform application to symbol recognition. In: 14th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET, 251-254. (2018) | |
| dc.relation.references | 19. Kapustiy, B.E., Rusyn, B.P., Tayanov, V.A.: Peculiarities of application of statistical detection criteria for problems of pattern recognition. In: Journal of Automatioin and Inrormation Science, 37(2), 30-36. (2005) | |
| dc.relation.references | 20. Rusyn, B., Kosarevych, R., Lutsyk, O., Korniy, V.: Segmentation of atmospheric clouds images obtained by remote sensing. In: 14th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET, 213-216. (2018) | |
| dc.relation.references | 21. Kapustiy, B.O., Rusyn, B.P., Tayanov, V.A.: A new approach to determination of correct recognition probability of set objects. In: Upravlyaushchie Sistemy i Mashiny, 2, 8-12. (2005) | |
| dc.relation.references | 22. Rusyn, B., Prudyus, I., Ostap, V.: Fingerprint image enhancement algorithm. In: The Experience of Designing and Application of CAD Systems in Microelectronics, Proceedings of the 6th International Conference ,CADSM, 193-194. (2001) | |
| dc.relation.references | 23. Rusyn, B., Torska, R., Kobasyar, M.: Application of the cellular automata for obtaining pitting images during simulation process of thei growth. In: Advances in Intelligent Systems and Computing, 242, 299-306. (2014) | |
| dc.relation.references | 24. Varetskyy, Y., Rusyn, B., Molga, A., Ignatovych, A.: A new method of fingerprint key protection of grid credential. In: Advances in Intelligent and Soft Computing, 84, 99-103. (2010) | |
| dc.relation.references | 25. Vysotska V. Linguistic analysis and modelling semantics of textual content for digest formation / Victoria Vysotska, Lyubomyr Chyrun // MEST Journal (Management Education Science & Society Technologie). – Vol.3 No.1. – PP. 127-148 [Online]. – ISSN 2334-7171, ISSN 2334-7058 (Online), DOI 10.12709/issn.2334-7058. This issue: DOI 10.12709/mest.02.02.02.0. – Режим доступу: http://mest.meste.org/MEST_1_2015/Sadrzaj_eng.html http://mest.meste.org/MEST_1_2015/5_15.pdf. | |
| dc.relation.references | 26. Berko A. Linguistic Analysis for the Textual Commercial Content / Andriy Berko, Victoria Vysotska, Lyubomyr Chyrun // Computer Science and Information Technologies: Proc. of the IX-th Int. Conf. CSIT’2014, 18-22 November, 2014, Lviv, Ukraine..– Lviv: Publishing Lviv Polytechnic, 2014.– P.11-14. | |
| dc.relation.references | 27. Shestakevych Т. Modelling of semantics of natural language sentences using generative grammars / Tetiana Shestakevych, Victoria Vysotska, Lyubomyr Chyrun, Liliya Chyrun // Computer Science and Information Technologies: Proc. of the IX-th Int. Conf. CSIT’2014, 18-22 November, 2014, Lviv, Ukraine..– Lviv: Publishing Lviv Polytechnic, 2014.– P.19-22. | |
| dc.relation.references | 28. Andrunyk V. The Peculiarities of Electronic Digest Formation / Vasyl Andrunyk, Victoria Vysotska, Lyubomyr Chyrun // Computer Science and Information Technologies: Proc. of the IX-th Int. Conf. CSIT’2014, 18-22 November, 2014, Lviv, Ukraine..– Lviv: Publishing Lviv Polytechnic, 2014.– P.25-28. | |
| dc.relation.references | 29. Kis I. Features of the Content-Analysis Method in Processing Online Newspaper Articles / Iaroslav Kis, Victoria Vysotska, Liliya Chyrun, Vasyl Foltovych // Computer Science and Information Technologies: Proc. of the IX-th Int. Conf. CSIT’2014, 18-22 November, 2014, Lviv, Ukraine..– Lviv: Publishing Lviv Polytechnic, 2014.– P.39-42. | |
| dc.relation.references | 30. Vysotska V. Generative regular grammars application to modeling the semantics of sentences in natural language / Victoria Vysotska // Комп’ютерні системи проектування. Теорія і практика, Вісник Національного університету “Львівська політехніка” № 808,- Львів 2014 – Стор.43-56. | |
| dc.relation.references | 31. Vysotska V. Linguistic Analysis of Textual Commercial Content for Information Resources Processing / Victoria Vysotska // Proceedings of the XIIIth International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET’2016). - February 23–26, 2016. Lviv–Slavskе, Ukraine.- P. 709-713. | |
| dc.relation.references | 32. Vysotska V. Analysis of business processes in electronic content-commerce systems / V. Vysotska, L. Chyrun, P. Kozlov // ECONTECHMOD. An international quarterly journal on economics in technology, new technologies and modeling processes. - Polish Academy of Sciences, University of Engineering and Economics in Rzeszуw, Lviv Polytechnic National University, University of Life Sciences in Lublin, Faculty of Production Engineering. - Vol. 5, No 1. - LUBLIN–RZESZУW,2016. – pp. 111-125. - ISSN 2084-5715. - http://www.pan-ol.lublin.pl/wydawnictwa/Econtechmod.html. | |
| dc.relation.references | 33. Chyrun Lyubomyr. Specifics Informational Resources Processing for Textual Content Linguistic Analysis / Lyubomyr Chyrun, Victoria Vysotska, Vasyl Lytvyn // Proceeding of XIIth International Conference of Perspective Technologies and Methods in MEMS Design, MEMSTECH 2016. – 20-24 April, 2016, Lvi-Polyana, Ukraine. – Lviv Politechnic Publishing House. – P. 214-219. | |
| dc.relation.references | 34. Chyrun L. Informational resources processing intellectual systems with textual commercial content linguistic analysis usage constructional means and tools development / L. Chyrun, V. Vysotska, I. Kozak // Econtechmod : an international quarterly journal on economics in technology, new technologies and modelling processes. – Lublin ; Rzeszow, 2016. – Volum 5, nomber 2. – P. 85–94. – Bibliography: 60 titles. | |
| dc.relation.references | 35. Lytvyn Vasyl. Content Linguistic Analysis Methods for Textual Documents Classification / Vasyl Lytvyn, Victoria Vysotska, Oleh Veres, Ihor Rishnyak, Halya Rishnyak // Computer Science and Information Technologies: Proc. of the XI-th Int. Conf. CSIT’2016, 6-10 September, 2016, Lviv, Ukraine..– Lviv: Lviv Polytechnic Publishing House, 2016.– P.190-192. | |
| dc.relation.references | 36. Lytvyn V. Intelligent System Structure for Web Resources Processing and Analysis / V. Lytvyn, V. Vysotska, L. Chyrun, A. Smolarz, O. Naum // 1st International Conference Computational Linguistics and Intelligent Systems, COLINS’2017. – 21 April 2017, Kharkiv. – P. 56-74. | |
| dc.relation.references | 37. Lytvyn V. A Method of Construction of Automated Basic Ontology / V. Lytvyn, V. Vysotska, W. Wojcik, D. Dosyn // 1st International Conference Computational Linguistics and Intelligent Systems, COLINS’2017. – 21 April 2017, Kharkiv. – P. 75-83. | |
| dc.relation.references | 38. Lytvyn V. Development of a method for the recognition of author’s style in the ukrainian language texts based on linguometry, stylemetry and glottochronology / V. Lytvyn, V. Vysotska, P. Pukach, І. Bobyk, D. Uhryn // Eastern-European Journal of Enterprise Technologies. – №4/2(88). – Харків 2017. – Р. 10-18. – ISSN 1729-3774. | |
| dc.relation.references | 39. Korobchinsky Maksym. Peculiarities of Content Forming and Analysis in Internet Newspaper Covering Music News / Maksym Korobchinsky, Victoria Vysotska, Liliya Chyrun, Lyubomyr Chyrun // Computer Science and Information Technologies: Proc. of the XII-th Int. Conf. CSIT’2017. – 05-08 September, 2017, Lviv. – P. 52-57. | |
| dc.relation.references | 40. Naum O. Intellectual System Design for Content Formation / O. Naum, L. Chyrun, O. Kanishcheva, V. Vysotska // Computer Science and Information Technologies: Proc. of the XII-th Int. Conf. CSIT’2017. – 05-08 September, 2017, Lviv. – P. 131-138. | |
| dc.relation.references | 41. Lytvyn V. Application of Sentence Parsing for Determining Keywords In Ukrainian Texts / V. Lytvyn, V. Vysotska, D. Dosyn, R. Holoschuk, Z. Rybchak // Computer Science and Information Technologies: Proc. of the XII-th Int. Conf. CSIT’2017. – 05-08 September, 2017, Lviv. – P. 326-331. | |
| dc.relation.references | 42. Lytvyn Vasyl. The Contextual Search Method Based on Domain Thesaurus / Vasyl Lytvyn, Victoria Vysotska, Yevhen Burov, Oleh Veres, Ihor Rishnyak // Advances in Intelligent Systems and Computing. – Vol. 689. – ISSN 2194-5357 ISSN 2194-5365 (electronic). - ISBN 978-3-319-45990-5 ISBN 978-3-319-45991-2 (eBook). –DOI 10.1007/978-3-319-45991-2. - Springer International Publishing AG 2017. –PP. 310-319. | |
| dc.relation.references | 43. Kanishcheva Olga. Method of Integration and Content Management of the Information Resources Network / Olga Kanishcheva, Victoria Vysotska, Lyubomyr Chyrun, Aleksandr Gozhyj // Advances in Intelligent Systems and Computing. – Vol. 689. – ISSN 2194-5357 ISSN 2194-5365 (electronic). - ISBN 978-3-319-45990-5 ISBN 978-3-319-45991-2 (eBook). –DOI 10.1007/978-3-319-45991-2. - Springer International Publishing AG 2017. –PP. 204-216. | |
| dc.relation.references | 44. Jun Su. Information resources processing using linguistic analysis of textual content / Jun Su, Victoria Vysotska, Anatoliy Sachenko, Vasyl Lytvyn, Yevhen Burov // Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2017 9th IEEE International Conference. – 21-23 Sept. 2017, Bucharest, Romania. – P. 573 – 578. | |
| dc.relation.references | 45. Lytvyn V. The Risk Management Modelling in Multi Project Environment / V. Lytvyn, V. Vysotska, O. Veres, I. Rishnyak, H. Rishnyak // Computer Science and Information Technologies: Proc. of the XII-th Int. Conf. CSIT’2017. – 05-08 September, 2017, Lviv. – P. 32-35. | |
| dc.relation.references | 46. Lytvyn, V., Peleshchak, I., Peleshchak, R.: Increase the speed of detection and recognition of computer attacks in combined diagonalized neural networks. In: 4th International Scientific-Practical Conference Problems of Infocommunications Science and Technology, PIC S and T, 152-155. (2018) | |
| dc.relation.references | 47. Zhezhnych, P., Markiv, O.: Recognition of tourism documentation fragments from webpage posts. In: 14th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET, 948-951. (2018) | |
| dc.relation.references | 48. Boyko, N., Basystiuk, O., Shakhovska, N.: Performance Evaluation and Comparison of Software for Face Recognition, Based on Dlib and Opencv Library. In: International Conference on Data Stream Mining and Processing, DSMP, 478-482. (2018) | |
| dc.relation.references | 49. Martsyshyn, R., Medykovskyy, M., Sikora, L., (...), Lysa, N., Yakymchuk, B.: Technology of speaker recognition of multimodal interfaces automated systems under stress. In: International Conference: The Experience of Designing and Application of CAD Systems in Microelectronics, CADSM, 447-448. (2013) | |
| dc.relation.references | 50. Shanidze, O., Petrasova, S.: Extraction of semantic relations from Wikipedia text corpus. In: Computational linguistics and intelligent systems, COLINS, 2, 74-75. (2019) | |
| dc.relation.references | 51. Razno, M.: Machine learning text classification model with NLP approach. In: Computational linguistics and intelligent systems, COLINS, 2, 71-73. (2019) | |
| dc.relation.references | 52. Manuilov, I., Petrasova, S.: Method for paraphrase extractionfrom the news text corpus. In: Computational linguistics and intelligent systems, COLINS, 2, 69-70. (2019) | |
| dc.relation.references | 53. Lytvynenko, J.: Identify of the substantive, attribute, and verb collocations in russian text. In: Computational linguistics and intelligent systems, COLINS, 2, 66-68. (2019) | |
| dc.relation.references | 54. Liutenko, I., Kurasov, O.: Consideration of the software tests quality evaluation problem. In: Computational linguistics and intelligent systems, COLINS, 2, 62-65. (2019) | |
| dc.relation.references | 55. Drobot, T.: Data-to-text generation for domain-specific purposes. In: Computational linguistics and intelligent systems, COLINS, 2, 60-61. (2019) | |
| dc.relation.references | 56. Chuiko, V., Khairova, N.: Semantic similarity identification for short text fragments. In: Computational linguistics and intelligent systems, COLINS, 2, 57-59. (2019) | |
| dc.relation.references | 57. Bobrovnyk, K.: Automated building and analysis of Ukrainian Twitter corpus for toxic text detection. In: Computational linguistics and intelligent systems, COLINS, 2, 55-56. (2019) | |
| dc.relation.references | 58. Bilova, M., Trehubenko, O.: Study of software systems usability used for customers loyalty identification. In: Computational linguistics and intelligent systems, COLINS, 2, 46-54. (2019) | |
| dc.relation.references | 59. Puzik, O.: Intelligence knowledge-based system based on multilingual dictionaries. In: Computational linguistics and intelligent systems, COLINS, 2, 39-44. (2019) | |
| dc.relation.references | 60. Berko, A.: Knowledge-based Big Data cleanup method. In: Computational linguistics and intelligent systems, COLINS, 2, 14-21. (2019) | |
| dc.relation.references | 61. Klyushin, D., Lyashko, S., Zub, S.: A (n) Assumption in machine learning. In: Computational linguistics and intelligent systems, COLINS, 2, 32-38. (2019) | |
| dc.relation.references | 62. Grabar, N., Hamon, T.: WikiWars-UA: Ukrainian corpus annotated with temporal expressions. In: Computational linguistics and intelligent systems, COLINS, 2, 22-31. (2019) | |
| dc.relation.references | 63. Kirichenko, L., Radivilova, T., Tkachenko A.: Comparative Analysis of Noisy Time Series Clusterin. In: Computational linguistics and intelligent systems, COLINS, 184-196. (2019) | |
| dc.relation.references | 64. Kazarian, A., Kunanets, N., Pasichnyk, V., Veretennikova, N., Rzheuskyi, A.: Complex Information E-Science System Architecture based on Cloud Computing Model. In: Computational linguistics and intelligent systems, COLINS, 366-377. (2019) | |
| dc.relation.references | 65. Frolov, V., Frolov, O., Kharchenko, V.: Classification of Diversity for Dependable and Safe Computing. In: Computational linguistics and intelligent systems, COLINS, 355-365. (2019) | |
| dc.relation.referencesen | 1. De Campos T. E. "Character Recognition in Natural Images in the Proceedings of the International Conference on Computer Vision Theory and Applications" − Lisbon, Portugal, February − 2009. | |
| dc.relation.referencesen | 2. Yokobayashi M. "Binarization and recognition of degraded characters using a maximum separation axis in the color space", Wakahara T. − Vol. 2nd − 2006 − pp. 885−888. | |
| dc.relation.referencesen | 3. Pan Y. "Text localization in natural scene images based on a conditional random field in the International Conference on Document Analysis and Recognition", Hou X., Liu C, 2009. | |
| dc.relation.referencesen | 4. Demchuk, A., Lozynska, O., The Typhlocomments Rules for Audiodescription System of the Video Content Formation for People with Visual Impairments. In: Computational Linguistics and Intelligent Systems, COLINS, 2, 53-59. (2018) | |
| dc.relation.referencesen | 5. Lytvyn, V., Vysotska, V., Mykhailyshyn, V., Rzheuskyi, A., Semianchuk, S., System Development for Video Stream Data Analyzing. In: Advances in Intelligent Systems and Computing, 1020, 315-331. (2020) | |
| dc.relation.referencesen | 6. Lytvyn V. V., Vysotska V. A., Mykhailyshyn V. Yu., Semianchuk S. O. Rozroblennia informatsiinoi systemy analizu danykh videopotoku, Intelektualni systemy pryiniattia rishen ta problemy obchysliuvalnoho intelektu : zbirka naukovykh prats Mizhnarodnoi naukovoi konferentsii (s. Zaliznyi Port, 21–25 travnia 2019 y.), 2019, P. 94–97 | |
| dc.relation.referencesen | 7. Veres, O., Rishnyak, I., Rishniak, H., Application of Methods of Machine Learning for the Recognition of Mathematical Expressions. In: Computational linguistics and intelligent systems, COLINS, 378-389. (2019) | |
| dc.relation.referencesen | 8. Bakumenko, N., Strilets, V., Ugryumov, M., Application of the C-Means Fuzzy Clustering Method for the Patient's State Recognition Problems in the Medical Monitoring System. In: Computational linguistics and intelligent systems, COLINS, 218-227. (2019) | |
| dc.relation.referencesen | 9. Dovbysh, A., Shelehov, I., Pylypenko, S., Berest, O., Estimation of Informativeness of Recognition Signs at Extreme Information Machine Learning of Knowledge Control System. In: Computational linguistics and intelligent systems, COLINS, 143-152. (2019) | |
| dc.relation.referencesen | 10. Dovbysh, A., Alieksieiev, V., Embedding Speech Recognition Tools for Custom Software: Engines Overview. In: Computational Linguistics and Intelligent Systems, COLINS, 2, 114-121. (2018) | |
| dc.relation.referencesen | 11. Lytvyn, V., Vysotska, V., Pukach, P., Bobyk, I., Uhryn, D., Development of a method for the recognition of authors style in the Ukrainian language texts based on linguometry, stylemetry and glottochronology. In: Eastern-European Journal of Enterprise Technologies, 4(2-88), 10-19. (2017) | |
| dc.relation.referencesen | 12. Lytvyn, V., Peleshchak, I., Vysotska, V., Peleshchak, R., Satellite spectral information recognition based on the synthesis of modified dynamic neural networks and holographic data processing techniques. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 330-334. (2018) | |
| dc.relation.referencesen | 13. Zdebskyi, P., Vysotska, V., Peleshchak, R., Peleshchak, I., Demchuk, A., Krylyshyn, M., An Application Development for Recognizing of View in Order to Control the Mouse Pointer. In: CEUR Workshop Proceedings, Vol-2386, 55-74. (2019) | |
| dc.relation.referencesen | 14. Shu, C., Dosyn, D., Lytvyn, V., Vysotska V., Sachenko, A., Jun, S., Building of the Predicate Recognition System for the NLP Ontology Learning Module. In: International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS, 2, 802-808. (2019) | |
| dc.relation.referencesen | 15. Kazarian, A., Teslyuk, V., Tsmots, I., Tykhan, M., Implementation of the Face Recognition Module for the "Smart" Home Using Remote Server. In: Advances in Intelligent Systems and Computing III, AISC 871, Springer, 17–27. (2019) | |
| dc.relation.referencesen | 16. Komar, M., Golovko, V., Sachenko, A., Bezobrazov, S., Development of neural network immune detectors for computer attacks recognition and classification. In: International Conference on Intelligent Data Acquisition and Advanced Computing Systems, IDAACS, 665-668. (2013) | |
| dc.relation.referencesen | 17. Paliy, I., Turchenko, V., Koval, V., Sachenko, A., Markowsky, G., Approach to recognition of license plate numbers using neural networks. In:International Conference on Neural Networks – Conference Proceedings, 2965-2970. (2004) | |
| dc.relation.referencesen | 18. Furgala, Yu.M., Rusyn, B.P., Peculiarities of melin transform application to symbol recognition. In: 14th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET, 251-254. (2018) | |
| dc.relation.referencesen | 19. Kapustiy, B.E., Rusyn, B.P., Tayanov, V.A., Peculiarities of application of statistical detection criteria for problems of pattern recognition. In: Journal of Automatioin and Inrormation Science, 37(2), 30-36. (2005) | |
| dc.relation.referencesen | 20. Rusyn, B., Kosarevych, R., Lutsyk, O., Korniy, V., Segmentation of atmospheric clouds images obtained by remote sensing. In: 14th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET, 213-216. (2018) | |
| dc.relation.referencesen | 21. Kapustiy, B.O., Rusyn, B.P., Tayanov, V.A., A new approach to determination of correct recognition probability of set objects. In: Upravlyaushchie Sistemy i Mashiny, 2, 8-12. (2005) | |
| dc.relation.referencesen | 22. Rusyn, B., Prudyus, I., Ostap, V., Fingerprint image enhancement algorithm. In: The Experience of Designing and Application of CAD Systems in Microelectronics, Proceedings of the 6th International Conference ,CADSM, 193-194. (2001) | |
| dc.relation.referencesen | 23. Rusyn, B., Torska, R., Kobasyar, M., Application of the cellular automata for obtaining pitting images during simulation process of thei growth. In: Advances in Intelligent Systems and Computing, 242, 299-306. (2014) | |
| dc.relation.referencesen | 24. Varetskyy, Y., Rusyn, B., Molga, A., Ignatovych, A., A new method of fingerprint key protection of grid credential. In: Advances in Intelligent and Soft Computing, 84, 99-103. (2010) | |
| dc.relation.referencesen | 25. Vysotska V. Linguistic analysis and modelling semantics of textual content for digest formation, Victoria Vysotska, Lyubomyr Chyrun, MEST Journal (Management Education Science & Society Technologie), Vol.3 No.1, PP. 127-148 [Online], ISSN 2334-7171, ISSN 2334-7058 (Online), DOI 10.12709/issn.2334-7058. This issue: DOI 10.12709/mest.02.02.02.0, Access mode: http://mest.meste.org/MEST_1_2015/Sadrzaj_eng.html http://mest.meste.org/MEST_1_2015/5_15.pdf. | |
| dc.relation.referencesen | 26. Berko A. Linguistic Analysis for the Textual Commercial Content, Andriy Berko, Victoria Vysotska, Lyubomyr Chyrun, Computer Science and Information Technologies: Proc. of the IX-th Int. Conf. CSIT’2014, 18-22 November, 2014, Lviv, Ukraine., Lviv: Publishing Lviv Polytechnic, 2014, P.11-14. | |
| dc.relation.referencesen | 27. Shestakevych T. Modelling of semantics of natural language sentences using generative grammars, Tetiana Shestakevych, Victoria Vysotska, Lyubomyr Chyrun, Liliya Chyrun, Computer Science and Information Technologies: Proc. of the IX-th Int. Conf. CSIT’2014, 18-22 November, 2014, Lviv, Ukraine., Lviv: Publishing Lviv Polytechnic, 2014, P.19-22. | |
| dc.relation.referencesen | 28. Andrunyk V. The Peculiarities of Electronic Digest Formation, Vasyl Andrunyk, Victoria Vysotska, Lyubomyr Chyrun, Computer Science and Information Technologies: Proc. of the IX-th Int. Conf. CSIT’2014, 18-22 November, 2014, Lviv, Ukraine., Lviv: Publishing Lviv Polytechnic, 2014, P.25-28. | |
| dc.relation.referencesen | 29. Kis I. Features of the Content-Analysis Method in Processing Online Newspaper Articles, Iaroslav Kis, Victoria Vysotska, Liliya Chyrun, Vasyl Foltovych, Computer Science and Information Technologies: Proc. of the IX-th Int. Conf. CSIT’2014, 18-22 November, 2014, Lviv, Ukraine., Lviv: Publishing Lviv Polytechnic, 2014, P.39-42. | |
| dc.relation.referencesen | 30. Vysotska V. Generative regular grammars application to modeling the semantics of sentences in natural language, Victoria Vysotska, Kompiuterni systemy proektuvannia. Teoriia i praktyka, Visnyk Natsionalnoho universytetu "Lvivska politekhnika" No 808, Lviv 2014 – P.43-56. | |
| dc.relation.referencesen | 31. Vysotska V. Linguistic Analysis of Textual Commercial Content for Information Resources Processing, Victoria Vysotska, Proceedings of the XIIIth International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET’2016), February 23–26, 2016. Lviv–Slavske, Ukraine, P. 709-713. | |
| dc.relation.referencesen | 32. Vysotska V. Analysis of business processes in electronic content-commerce systems, V. Vysotska, L. Chyrun, P. Kozlov, ECONTECHMOD. An international quarterly journal on economics in technology, new technologies and modeling processes, Polish Academy of Sciences, University of Engineering and Economics in Rzeszuw, Lviv Polytechnic National University, University of Life Sciences in Lublin, Faculty of Production Engineering, Vol. 5, No 1, LUBLIN–RZESZUW,2016, pp. 111-125, ISSN 2084-5715, http://www.pan-ol.lublin.pl/wydawnictwa/Econtechmod.html. | |
| dc.relation.referencesen | 33. Chyrun Lyubomyr. Specifics Informational Resources Processing for Textual Content Linguistic Analysis, Lyubomyr Chyrun, Victoria Vysotska, Vasyl Lytvyn, Proceeding of XIIth International Conference of Perspective Technologies and Methods in MEMS Design, MEMSTECH 2016, 20-24 April, 2016, Lvi-Polyana, Ukraine, Lviv Politechnic Publishing House, P. 214-219. | |
| dc.relation.referencesen | 34. Chyrun L. Informational resources processing intellectual systems with textual commercial content linguistic analysis usage constructional means and tools development, L. Chyrun, V. Vysotska, I. Kozak, Econtechmod : an international quarterly journal on economics in technology, new technologies and modelling processes, Lublin ; Rzeszow, 2016, Volum 5, nomber 2, P. 85–94, Bibliography: 60 titles. | |
| dc.relation.referencesen | 35. Lytvyn Vasyl. Content Linguistic Analysis Methods for Textual Documents Classification, Vasyl Lytvyn, Victoria Vysotska, Oleh Veres, Ihor Rishnyak, Halya Rishnyak, Computer Science and Information Technologies: Proc. of the XI-th Int. Conf. CSIT’2016, 6-10 September, 2016, Lviv, Ukraine., Lviv: Lviv Polytechnic Publishing House, 2016, P.190-192. | |
| dc.relation.referencesen | 36. Lytvyn V. Intelligent System Structure for Web Resources Processing and Analysis, V. Lytvyn, V. Vysotska, L. Chyrun, A. Smolarz, O. Naum, 1st International Conference Computational Linguistics and Intelligent Systems, COLINS’2017, 21 April 2017, Kharkiv, P. 56-74. | |
| dc.relation.referencesen | 37. Lytvyn V. A Method of Construction of Automated Basic Ontology, V. Lytvyn, V. Vysotska, W. Wojcik, D. Dosyn, 1st International Conference Computational Linguistics and Intelligent Systems, COLINS’2017, 21 April 2017, Kharkiv, P. 75-83. | |
| dc.relation.referencesen | 38. Lytvyn V. Development of a method for the recognition of authors style in the ukrainian language texts based on linguometry, stylemetry and glottochronology, V. Lytvyn, V. Vysotska, P. Pukach, I. Bobyk, D. Uhryn, Eastern-European Journal of Enterprise Technologies, No 4/2(88), Kharkiv 2017, R. 10-18, ISSN 1729-3774. | |
| dc.relation.referencesen | 39. Korobchinsky Maksym. Peculiarities of Content Forming and Analysis in Internet Newspaper Covering Music News, Maksym Korobchinsky, Victoria Vysotska, Liliya Chyrun, Lyubomyr Chyrun, Computer Science and Information Technologies: Proc. of the XII-th Int. Conf. CSIT’2017, 05-08 September, 2017, Lviv, P. 52-57. | |
| dc.relation.referencesen | 40. Naum O. Intellectual System Design for Content Formation, O. Naum, L. Chyrun, O. Kanishcheva, V. Vysotska, Computer Science and Information Technologies: Proc. of the XII-th Int. Conf. CSIT’2017, 05-08 September, 2017, Lviv, P. 131-138. | |
| dc.relation.referencesen | 41. Lytvyn V. Application of Sentence Parsing for Determining Keywords In Ukrainian Texts, V. Lytvyn, V. Vysotska, D. Dosyn, R. Holoschuk, Z. Rybchak, Computer Science and Information Technologies: Proc. of the XII-th Int. Conf. CSIT’2017, 05-08 September, 2017, Lviv, P. 326-331. | |
| dc.relation.referencesen | 42. Lytvyn Vasyl. The Contextual Search Method Based on Domain Thesaurus, Vasyl Lytvyn, Victoria Vysotska, Yevhen Burov, Oleh Veres, Ihor Rishnyak, Advances in Intelligent Systems and Computing, Vol. 689, ISSN 2194-5357 ISSN 2194-5365 (electronic), ISBN 978-3-319-45990-5 ISBN 978-3-319-45991-2 (eBook). –DOI 10.1007/978-3-319-45991-2, Springer International Publishing AG 2017. –PP. 310-319. | |
| dc.relation.referencesen | 43. Kanishcheva Olga. Method of Integration and Content Management of the Information Resources Network, Olga Kanishcheva, Victoria Vysotska, Lyubomyr Chyrun, Aleksandr Gozhyj, Advances in Intelligent Systems and Computing, Vol. 689, ISSN 2194-5357 ISSN 2194-5365 (electronic), ISBN 978-3-319-45990-5 ISBN 978-3-319-45991-2 (eBook). –DOI 10.1007/978-3-319-45991-2, Springer International Publishing AG 2017. –PP. 204-216. | |
| dc.relation.referencesen | 44. Jun Su. Information resources processing using linguistic analysis of textual content, Jun Su, Victoria Vysotska, Anatoliy Sachenko, Vasyl Lytvyn, Yevhen Burov, Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2017 9th IEEE International Conference, 21-23 Sept. 2017, Bucharest, Romania, P. 573 – 578. | |
| dc.relation.referencesen | 45. Lytvyn V. The Risk Management Modelling in Multi Project Environment, V. Lytvyn, V. Vysotska, O. Veres, I. Rishnyak, H. Rishnyak, Computer Science and Information Technologies: Proc. of the XII-th Int. Conf. CSIT’2017, 05-08 September, 2017, Lviv, P. 32-35. | |
| dc.relation.referencesen | 46. Lytvyn, V., Peleshchak, I., Peleshchak, R., Increase the speed of detection and recognition of computer attacks in combined diagonalized neural networks. In: 4th International Scientific-Practical Conference Problems of Infocommunications Science and Technology, PIC S and T, 152-155. (2018) | |
| dc.relation.referencesen | 47. Zhezhnych, P., Markiv, O., Recognition of tourism documentation fragments from webpage posts. In: 14th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET, 948-951. (2018) | |
| dc.relation.referencesen | 48. Boyko, N., Basystiuk, O., Shakhovska, N., Performance Evaluation and Comparison of Software for Face Recognition, Based on Dlib and Opencv Library. In: International Conference on Data Stream Mining and Processing, DSMP, 478-482. (2018) | |
| dc.relation.referencesen | 49. Martsyshyn, R., Medykovskyy, M., Sikora, L., (...), Lysa, N., Yakymchuk, B., Technology of speaker recognition of multimodal interfaces automated systems under stress. In: International Conference: The Experience of Designing and Application of CAD Systems in Microelectronics, CADSM, 447-448. (2013) | |
| dc.relation.referencesen | 50. Shanidze, O., Petrasova, S., Extraction of semantic relations from Wikipedia text corpus. In: Computational linguistics and intelligent systems, COLINS, 2, 74-75. (2019) | |
| dc.relation.referencesen | 51. Razno, M., Machine learning text classification model with NLP approach. In: Computational linguistics and intelligent systems, COLINS, 2, 71-73. (2019) | |
| dc.relation.referencesen | 52. Manuilov, I., Petrasova, S., Method for paraphrase extractionfrom the news text corpus. In: Computational linguistics and intelligent systems, COLINS, 2, 69-70. (2019) | |
| dc.relation.referencesen | 53. Lytvynenko, J., Identify of the substantive, attribute, and verb collocations in russian text. In: Computational linguistics and intelligent systems, COLINS, 2, 66-68. (2019) | |
| dc.relation.referencesen | 54. Liutenko, I., Kurasov, O., Consideration of the software tests quality evaluation problem. In: Computational linguistics and intelligent systems, COLINS, 2, 62-65. (2019) | |
| dc.relation.referencesen | 55. Drobot, T., Data-to-text generation for domain-specific purposes. In: Computational linguistics and intelligent systems, COLINS, 2, 60-61. (2019) | |
| dc.relation.referencesen | 56. Chuiko, V., Khairova, N., Semantic similarity identification for short text fragments. In: Computational linguistics and intelligent systems, COLINS, 2, 57-59. (2019) | |
| dc.relation.referencesen | 57. Bobrovnyk, K., Automated building and analysis of Ukrainian Twitter corpus for toxic text detection. In: Computational linguistics and intelligent systems, COLINS, 2, 55-56. (2019) | |
| dc.relation.referencesen | 58. Bilova, M., Trehubenko, O., Study of software systems usability used for customers loyalty identification. In: Computational linguistics and intelligent systems, COLINS, 2, 46-54. (2019) | |
| dc.relation.referencesen | 59. Puzik, O., Intelligence knowledge-based system based on multilingual dictionaries. In: Computational linguistics and intelligent systems, COLINS, 2, 39-44. (2019) | |
| dc.relation.referencesen | 60. Berko, A., Knowledge-based Big Data cleanup method. In: Computational linguistics and intelligent systems, COLINS, 2, 14-21. (2019) | |
| dc.relation.referencesen | 61. Klyushin, D., Lyashko, S., Zub, S., A (n) Assumption in machine learning. In: Computational linguistics and intelligent systems, COLINS, 2, 32-38. (2019) | |
| dc.relation.referencesen | 62. Grabar, N., Hamon, T., WikiWars-UA: Ukrainian corpus annotated with temporal expressions. In: Computational linguistics and intelligent systems, COLINS, 2, 22-31. (2019) | |
| dc.relation.referencesen | 63. Kirichenko, L., Radivilova, T., Tkachenko A., Comparative Analysis of Noisy Time Series Clusterin. In: Computational linguistics and intelligent systems, COLINS, 184-196. (2019) | |
| dc.relation.referencesen | 64. Kazarian, A., Kunanets, N., Pasichnyk, V., Veretennikova, N., Rzheuskyi, A., Complex Information E-Science System Architecture based on Cloud Computing Model. In: Computational linguistics and intelligent systems, COLINS, 366-377. (2019) | |
| dc.relation.referencesen | 65. Frolov, V., Frolov, O., Kharchenko, V., Classification of Diversity for Dependable and Safe Computing. In: Computational linguistics and intelligent systems, COLINS, 355-365. (2019) | |
| dc.citation.spage | 81 | |
| dc.citation.epage | 89 | |
| dc.coverage.placename | Львів | |
| dc.coverage.placename | Lviv | |
| Appears in Collections: | Computational linguistics and intelligent systems. – 2020 р.
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