Skip navigation

putin IS MURDERER

Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/52131
Full metadata record
DC FieldValueLanguage
dc.contributor.authorYaloveha, Olesia
dc.contributor.authorAndrunyk, Vasyl
dc.coverage.temporal23-24 April 2020, Lviv, Ukraine
dc.date.accessioned2020-06-12T11:09:42Z-
dc.date.available2020-06-12T11:09:42Z-
dc.date.created2020-04-23
dc.date.issued2020-04-23
dc.identifier.citationYaloveha O. Development of Information System for Monitoring the Emotional State of a Student with Special Needs / Olesia Yaloveha, Vasyl Andrunyk // 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. 184–190. — (Intelligent Systems).
dc.identifier.issn2523-4013
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/52131-
dc.description.abstractThis article is an overview of a practical implementation of monitoring the emotional state of a student with special needs. In this article, we present an in-depth review of current technologies for detecting human emotions. The purpose of this work is to create an AI system to help teachers and psychologists to observe children with special needs while they are learning or passing tests. The object is the methods and tools for emotion recognition. This system is designed to solve the problems of recognizing the emotional state of the student and helping him to properly respond to the emotional manifestations of other people. The subject of this system are processes of activity of this AI. We conclude the investigation by highlighting the aspects that require further research and development.
dc.format.extent184-190
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofComputational linguistics and intelligent systems : proceedings of the 4nd International conference (2), 2020
dc.relation.urihttps://urait.ru/bcode/429159
dc.relation.urihttp://www.interface.ru/home.asp?artId=102
dc.relation.urihttp://www.springer.com/us/book/9783319459905
dc.subjectInformation System
dc.subjectEmotion
dc.subjectRecognition
dc.subjectArtificial Intelligence
dc.titleDevelopment of Information System for Monitoring the Emotional State of a Student with Special Needs
dc.typeArticle
dc.rights.holder© Національний університет “Львівська політехніка”, 2020
dc.contributor.affiliationLviv Polytechnic National University
dc.format.pages7
dc.identifier.citationenYaloveha O. Development of Information System for Monitoring the Emotional State of a Student with Special Needs / Olesia Yaloveha, Vasyl Andrunyk // 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. 184–190. — (Intelligent Systems).
dc.relation.references1. Изард, К.Э. Психология эмоций /К.Э. Изард. — Санкт-Петербург: 1999. — 464 с.
dc.relation.references2. Лабунская, В.А. Экспрессия человека: общение и межличностное познание /В.А. Лабунская. — Ростов-на-Дону: Феникс, 1999. — 608 с.
dc.relation.references3. Компетентность в общении : социально-психологический тренинг / Л.А. Петровская. – Москва : Издательство Московского университета, 1989. – 216 с.
dc.relation.references4. Обратная связь в межличностном общении // Вестн. Моск. ун-та. Сер. 14. Психология. 1982. N 3. - С. 9 - 18. (В соавторстве с Л.А. Петровской).
dc.relation.references5. Экман П. Психология лжи / Пер. с англ. Н. Исуповой, Н. Мальгиной, Н. Миронова, О. Тереховой. — СПб.: Питер, 1999). — 270 с.
dc.relation.references6. Ecman P. Friesen W.V. Differential communication of affect by head and body cues.// Journal of personality and social psychology. 1965. Vol. 2.
dc.relation.references7. Ecman P. Friesen W.V. Nonverbal Leakage and Clues to Deception. / Psychiatry. 1969. Vol.32. 88-106.
dc.relation.references8. Ecman P. Friesen W.V. Detecting Deception from the Body or Face.// Journal of personality and social psychology. 1974. Vol. 29. 288-298.
dc.relation.references9. Захаров А.И. Дневные и ночные страхи у детей. - СПб, 2010 г.
dc.relation.references10. Заморев СИ. Игровая терапия. Совсем не детские проблемы. СПб., Речь, 2002 г.
dc.relation.references11. Киселева М.В. Арт-терапия в работе с детьми. – СПб, 2006 г.
dc.relation.references12. Костина М.М. Игровая терапия с тревожными детьми. СПб., Речь, 2000 г.
dc.relation.references13. Калинина Р. Р. Тренинг развития личности дошкольника, СПб. Речь. 2001 г.
dc.relation.references14. Кряжева И. Л. Развитие эмоционального мира детей, Ярославль, Академия развития, 1997 г.
dc.relation.references15. Андруник, В. А., Шестакевич, Т. В., Пасічник, В. В., & Кунанець, Н. Е. (2018). Інформаційні технології навчання учнів з АСД. Вісник Національного університету Львівська політехніка. Інформаційні системи та мережі, (901), 76-88.
dc.relation.references16. Орехова О. А. Цветовая диагностика эмоций ребенка. СПб. Речь. 2002 г.
dc.relation.references17. González Hernández, Francisco & Zatarain Cabada, Ramón & Barron Estrada, Maria & Rodriguez Rangel, Hector. (2018). Recognition of learning-centered emotions using a convolutional neural network. Journal of Intelligent & Fuzzy Systems. 34. 3325-3336. 10.3233/JIFS-169514.
dc.relation.references18. Мамайчук, И. И. Психокоррекционные технологии для детей с проблемами в развитии : учебное пособие для вузов / И. И. Мамайчук. — 2-е изд., испр. и доп. — Москва : Издательство Юрайт, 2019. — 318 с. — (Бакалавр. Академический курс). — ISBN 978-5-534-10042-6. — Текст : электронный // ЭБС Юрайт. — URL: https://urait.ru/bcode/429159.
dc.relation.references19. K. Kostolányová, E-learning Form of Adaptive Instruction. Proceedings of the 9th International Scientific Conference on Distance Learning in Applied Informatics (DIVAI 2012). Nitra: Faculty of Natural Sciences Constantine the Philosopher University in Nitra, 2012, 193-201.
dc.relation.references20. S. Anwar, M. Milanova, Real Time Face Expression Recognition of Children with Autism. Department of Computer University of Arkansas at Little Rock, Arkansas, USA. – 2016, 7 p.
dc.relation.references21. AllFusion Process Modeler 7 (BPwin). Средство функционального моделирования бизнес-процессов. – Режим доступу: http://www.interface.ru/home.asp?artId=102.
dc.relation.references22. Y. Chen, R. Hwang, C. Wang, Development and evaluation of a web 2.0 annotation system as a learning tool in an e-learning environment, Computers and Education, 58(4), 2011, p. 1094-1105.
dc.relation.references23. K. Bahreini, R. Nadolski, & W. Westera, Towards multimodal emotion recognition in elearning environments. Interactive Learning Environments, no. Ahead-of-print, 2014, p. 1-16.
dc.relation.references24. Feidakis, M.; Daradoumis, T.; Caballe, S. Emotion Measurement in Intelligent Tutoring Systems: What, When and How to Measure. In Proceedings of the 2011 Third International Conference on Intelligent Networking and Collaborative Systems, IEEE, Fukuoka, Japan, 30 November–2 December 2011; pp. 807–812.
dc.relation.references25. K. Bahreini, R. Nadolski, & W. Westera, Towards multimodal emotion recognition in elearning environments. Interactive Learning Environments, no. Ahead-of-print, 2014, p. 1-16.
dc.relation.references26. Leo, M.; Carcagnì, P.; Distante, C.; Spagnolo, P.; Mazzeo, P.L.; Rosato, A.C.; Petrocchi, S.; Pellegrino, C.; Levante, A.; De Lumè, F.; Lecciso, F. Computational Assessment of Facial Expression Production in ASD Children. Sensors 2018, 18, 3993.
dc.relation.references27. Csikszentmihalyi, M. Flow and the Foundations of Positive Psychology: The collected works of Mihaly Csikszentmihalyi. – Springer: Dordrecht, The Netherlands, 2014.
dc.relation.references28. Southgate, E., Blackmore, K., Pieschl, S., Grimes, S., McGuire, J. & Smithers, K. (2018). Artificial intelligence and emerging technologies (virtual, augmented and mixed reality) in schools: A research report. Newcastle: University of Newcastle, Australia.
dc.relation.references29. Emotion Recognition from Facial Expression Using Deep Convolutional Neural Network. D Liliana - Journal Of Physics: Conference Series - 2019
dc.relation.references30. Kathrin Kaulard, Douglas W. Cunningham, Heinrich H. Bülthoff, Christian Wallraven. PLoS One. 2012; 7(3): e32321
dc.relation.references31. Grossard, C., Dapogny, A., Cohen, D. et al. Children with autism spectrum disorder produce more ambiguous and less socially meaningful facial expressions: an experimental study using random forest classifiers. – Molecular Autism, 2020. – 14 p.
dc.relation.references32. Itsquiz. “Artificial Intelligence in Special Education.” Medium, Medium, 5 July 2016, medium.com / @itsquiz15 / artificial- intelligence- in- special- education- dab 27649b9b6.
dc.relation.references33. 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.references34. Dilai, M., Onukevych, Y., Dilay, I.: Sentiment Analysis of the US and Ukrainian Presidential Speeches. In: Computational Linguistics and Intelligent Systems, COLINS, 2, 60-70. (2018)
dc.relation.references35. Берко, А.Ю. Intranet архітектура інтелектуальних систем електронного навчання / А.Ю. Берко, В.А. Висоцька // Інформаційні системи та мережі. Вісник Національного університету “Львівська політехніка”. – Львів 2001. - № 438. – Стор.3-10.
dc.relation.references36. Інтерактивна взаємодія та зворотній зв’язок в системі дистанційного навчання / Р.О. Голощук, В.А. Висоцька // Інформаційні системи та мережі. Вісник Національного університету “Львівська політехніка”. – Львів 2002. – № 464. – Стор.44-53.
dc.relation.references37. Висоцька, В.А. Система опрацювання структури електронного підручника / В.А. Висоцька // Інформаційні системи та мережі. Вісник Національного університету “Львівська політехніка”. – Львів 2003. – № 489. – Стор.49-63.
dc.relation.references38. Голощук, Р.О. Математичне моделювання процесів дистанційного навчання / Р.О. Голощук, В.В. Литвин, Л.В. Чирун, В.А. Висоцька // Інформаційні системи та мережі. Вісник Національного університету “Львівська політехніка”. – Львів 2003. – № 489. – Стор.100-109.
dc.relation.references39. Шаховська Н.Б. Методи та засоби дистанційної освіти для заохочення і залучення сучасної молоді до проведення самостійних наукових досліджень / Н.Б Шаховська., В.А. Висоцька, Л.В. Чирун // Інформаційні системи та мережі. Вісник Національного університету “Львівська політехніка”. – № 832. – Львів, 2015. – Стор. 254-284.
dc.relation.references40. Shakhovska Natalya. Intelligent Systems Design of Distance Learning Realization for Modern Youth Promotion and Involvement in Independent Scientific Researches / Natalya Shakhovska, Victoria Vysotska, Lyubomyr Chyrun // Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing 512. Natalya Shakhovska Editor. Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2016, September 6–10 Lviv, Ukraine. – 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. - Library of Congress Control Number: 2016950408. - Springer International Publishing AG 2017. - PP. 175-198.. – Access mode: http://www.springer.com/us/book/9783319459905.
dc.relation.references41. Lytvyn Vasyl. Distance Learning Method for Modern Youth Promotion and Involvement in Independent Scientific Researches / Vasyl Lytvyn, Victoria Vysotska, Liliya Chyrun, Lyubomyr Chyrun // DATA STREAM MINING & PROCESSING. Proceedings of the 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP). – August 23-27, 2016. – Lviv, Ukraine. – PP. 269-274.
dc.relation.references42. Antonii Rzheuskyi, Orest Kutyuk, Victoria Vysotska, Yevhen Burov, Vasyl Lytvyn, Lyubomyr Chyrun. The Architecture of Distant Competencies Analyzing System for IT Recruitment // 2019 IEEE 14th International Scientific and Technical Conference on Computer Science and Information Nechnologies (CSIT’2019) : proceedings. – Volume 3. – 17-20 September 2019, Lviv, Ukraine. – PP. 254-261.
dc.relation.references43. Shakhovska, N., Vovk, O., Hasko, R., Kryvenchuk, Y.: The method of big data processing for distance educational system. In: Advances in Intelligent Systems and Computing, 689, 461-473. (2018)
dc.relation.references44. Rzheuskyi, A., Kutyuk, O., Voloshyn, O., Kowalska-Styczen, A., Voloshyn, V., Chyrun, L., Chyrun, S., Peleshko, D., Rak, T.: The Intellectual System Development of Distant Competencies Analyzing for IT Recruitment. In: Advances in Intelligent Systems and Computing IV, Springer, Cham, 1080, 696-720. (2020)
dc.relation.references45. Shakhovska, N., Vysotska, V., Chyrun, L.: Features of E-Learning Realization Using Virtual Research Laboratory. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 143–148. (2016)
dc.relation.references46. Antonii Rzheuskyi, Orest Kutyuk, Victoria Vysotska, Yevhen Burov, Vasyl Lytvyn, Lyubomyr Chyrun. The Architecture of Distant Competencies Analyzing System for IT Recruitment // 2019 IEEE 14th International Scientific and Technical Conference on Computer Science and Information Nechnologies (CSIT’2019) : proceedings. – Volume 3. – 17-20 September 2019, Lviv, Ukraine. – PP. 254-261.
dc.relation.references47. Chyrun L., Leshchynskyy E., Lytvyn V., Rzheuskyi A., Vysotska V., Borzov Y. Intellectual analysis of making decisions tree in information systems of screening observation for immunological patients // CEUR Workshop Proceedings. – 2019. – Vol. 2488. Proceedings of the 2nd International workshop on informatics & data-driven medicine IDDM 2019 (Lviv, Ukraine, November 11-13, 2019). Vol. 1. – P. 281–296.
dc.relation.references48. Odrekhivskyy, M., Pasichnyk, V., Rzheuskyi, A., Andrunyk, V., Nazaruk, M., Kunanets, O., Tabachyshyn, D.: Problems of the Intelligent Virtual Learning Environment Development. In: CEUR Workshop Proceedings, Vol-2386, 359-369. (2019)
dc.relation.references49. Golovko, V., Savitsky, Y., Laopoulos, T., Sachenko, A., Grandinetti, L.: Technique of learning rate estimation for efficient training of MLP. In: Neural Networks, IJCNN, 323-328. (2000).
dc.relation.referencesen1. Izard, K.E. Psikholohiia emotsii /K.E. Izard, Sankt-Peterburh: 1999, 464 p.
dc.relation.referencesen2. Labunskaia, V.A. Ekspressiia cheloveka: obshchenie i mezhlichnostnoe poznanie /V.A. Labunskaia, Rostov-na-Donu: Feniks, 1999, 608 p.
dc.relation.referencesen3. Kompetentnost v obshchenii : sotsialno-psikholohicheskii treninh, L.A. Petrovskaia, Moskva : Izdatelstvo Moskovskoho universiteta, 1989, 216 p.
dc.relation.referencesen4. Obratnaia sviaz v mezhlichnostnom obshchenii, Vestn. Mosk. un-ta. Ser. 14. Psikholohiia. 1982. N 3, P. 9 - 18. (V soavtorstve s L.A. Petrovskoi).
dc.relation.referencesen5. Ekman P. Psikholohiia lzhi, transl. from English N. Isupovoi, N. Malhinoi, N. Mironova, O. Terekhovoi, SPb., Piter, 1999), 270 p.
dc.relation.referencesen6. Ecman P. Friesen W.V. Differential communication of affect by head and body cues.// Journal of personality and social psychology. 1965. Vol. 2.
dc.relation.referencesen7. Ecman P. Friesen W.V. Nonverbal Leakage and Clues to Deception., Psychiatry. 1969. Vol.32. 88-106.
dc.relation.referencesen8. Ecman P. Friesen W.V. Detecting Deception from the Body or Face.// Journal of personality and social psychology. 1974. Vol. 29. 288-298.
dc.relation.referencesen9. Zakharov A.I. Dnevnye i nochnye strakhi u detei, SPb, 2010 y.
dc.relation.referencesen10. Zamorev SI. Ihrovaia terapiia. Sovsem ne detskie problemy. SPb., Rech, 2002 y.
dc.relation.referencesen11. Kiseleva M.V. Art-terapiia v rabote s detmi, SPb, 2006 y.
dc.relation.referencesen12. Kostina M.M. Ihrovaia terapiia s trevozhnymi detmi. SPb., Rech, 2000 y.
dc.relation.referencesen13. Kalinina R. R. Treninh razvitiia lichnosti doshkolnika, SPb. Rech. 2001 y.
dc.relation.referencesen14. Kriazheva I. L. Razvitie emotsionalnoho mira detei, Iaroslavl, Akademiia razvitiia, 1997 y.
dc.relation.referencesen15. Andrunyk, V. A., Shestakevych, T. V., Pasichnyk, V. V., & Kunanets, N. E. (2018). Informatsiini tekhnolohii navchannia uchniv z ASD. Visnyk Natsionalnoho universytetu Lvivska politekhnika. Informatsiini systemy ta merezhi, (901), 76-88.
dc.relation.referencesen16. Orekhova O. A. Tsvetovaia diahnostika emotsii rebenka. SPb. Rech. 2002 y.
dc.relation.referencesen17. González Hernández, Francisco & Zatarain Cabada, Ramón & Barron Estrada, Maria & Rodriguez Rangel, Hector. (2018). Recognition of learning-centered emotions using a convolutional neural network. Journal of Intelligent & Fuzzy Systems. 34. 3325-3336. 10.3233/JIFS-169514.
dc.relation.referencesen18. Mamaichuk, I. I. Psikhokorrektsionnye tekhnolohii dlia detei s problemami v razvitii : uchebnoe posobie dlia vuzov, I. I. Mamaichuk, 2-e izd., ispr. i dop, Moskva : Izdatelstvo Iurait, 2019, 318 p, (Bakalavr. Akademicheskii kurs), ISBN 978-5-534-10042-6, Tekst : elektronnyi, EBS Iurait, URL: https://urait.ru/bcode/429159.
dc.relation.referencesen19. K. Kostolányová, E-learning Form of Adaptive Instruction. Proceedings of the 9th International Scientific Conference on Distance Learning in Applied Informatics (DIVAI 2012). Nitra: Faculty of Natural Sciences Constantine the Philosopher University in Nitra, 2012, 193-201.
dc.relation.referencesen20. S. Anwar, M. Milanova, Real Time Face Expression Recognition of Children with Autism. Department of Computer University of Arkansas at Little Rock, Arkansas, USA, 2016, 7 p.
dc.relation.referencesen21. AllFusion Process Modeler 7 (BPwin). Sredstvo funktsionalnoho modelirovaniia biznes-protsessov, Access mode: http://www.interface.ru/home.asp?artId=102.
dc.relation.referencesen22. Y. Chen, R. Hwang, C. Wang, Development and evaluation of a web 2.0 annotation system as a learning tool in an e-learning environment, Computers and Education, 58(4), 2011, p. 1094-1105.
dc.relation.referencesen23. K. Bahreini, R. Nadolski, & W. Westera, Towards multimodal emotion recognition in elearning environments. Interactive Learning Environments, no. Ahead-of-print, 2014, p. 1-16.
dc.relation.referencesen24. Feidakis, M.; Daradoumis, T.; Caballe, S. Emotion Measurement in Intelligent Tutoring Systems: What, When and How to Measure. In Proceedings of the 2011 Third International Conference on Intelligent Networking and Collaborative Systems, IEEE, Fukuoka, Japan, 30 November–2 December 2011; pp. 807–812.
dc.relation.referencesen25. K. Bahreini, R. Nadolski, & W. Westera, Towards multimodal emotion recognition in elearning environments. Interactive Learning Environments, no. Ahead-of-print, 2014, p. 1-16.
dc.relation.referencesen26. Leo, M.; Carcagnì, P.; Distante, C.; Spagnolo, P.; Mazzeo, P.L.; Rosato, A.C.; Petrocchi, S.; Pellegrino, C.; Levante, A.; De Lumè, F.; Lecciso, F. Computational Assessment of Facial Expression Production in ASD Children. Sensors 2018, 18, 3993.
dc.relation.referencesen27. Csikszentmihalyi, M. Flow and the Foundations of Positive Psychology: The collected works of Mihaly Csikszentmihalyi, Springer: Dordrecht, The Netherlands, 2014.
dc.relation.referencesen28. Southgate, E., Blackmore, K., Pieschl, S., Grimes, S., McGuire, J. & Smithers, K. (2018). Artificial intelligence and emerging technologies (virtual, augmented and mixed reality) in schools: A research report. Newcastle: University of Newcastle, Australia.
dc.relation.referencesen29. Emotion Recognition from Facial Expression Using Deep Convolutional Neural Network. D Liliana - Journal Of Physics: Conference Series - 2019
dc.relation.referencesen30. Kathrin Kaulard, Douglas W. Cunningham, Heinrich H. Bülthoff, Christian Wallraven. PLoS One. 2012; 7(3): e32321
dc.relation.referencesen31. Grossard, C., Dapogny, A., Cohen, D. et al. Children with autism spectrum disorder produce more ambiguous and less socially meaningful facial expressions: an experimental study using random forest classifiers, Molecular Autism, 2020, 14 p.
dc.relation.referencesen32. Itsquiz. "Artificial Intelligence in Special Education." Medium, Medium, 5 July 2016, medium.com, @itsquiz15, artificial- intelligence- in- special- education- dab 27649b9b6.
dc.relation.referencesen33. 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.referencesen34. Dilai, M., Onukevych, Y., Dilay, I., Sentiment Analysis of the US and Ukrainian Presidential Speeches. In: Computational Linguistics and Intelligent Systems, COLINS, 2, 60-70. (2018)
dc.relation.referencesen35. Berko, A.Yu. Intranet arkhitektura intelektualnykh system elektronnoho navchannia, A.Yu. Berko, V.A. Vysotska, Informatsiini systemy ta merezhi. Visnyk Natsionalnoho universytetu "Lvivska politekhnika", Lviv 2001, No 438, P.3-10.
dc.relation.referencesen36. Interaktyvna vzaiemodiia ta zvorotnii zviazok v systemi dystantsiinoho navchannia, R.O. Holoshchuk, V.A. Vysotska, Informatsiini systemy ta merezhi. Visnyk Natsionalnoho universytetu "Lvivska politekhnika", Lviv 2002, No 464, P.44-53.
dc.relation.referencesen37. Vysotska, V.A. Systema opratsiuvannia struktury elektronnoho pidruchnyka, V.A. Vysotska, Informatsiini systemy ta merezhi. Visnyk Natsionalnoho universytetu "Lvivska politekhnika", Lviv 2003, No 489, P.49-63.
dc.relation.referencesen38. Holoshchuk, R.O. Matematychne modeliuvannia protsesiv dystantsiinoho navchannia, R.O. Holoshchuk, V.V. Lytvyn, L.V. Chyrun, V.A. Vysotska, Informatsiini systemy ta merezhi. Visnyk Natsionalnoho universytetu "Lvivska politekhnika", Lviv 2003, No 489, P.100-109.
dc.relation.referencesen39. Shakhovska N.B. Metody ta zasoby dystantsiinoi osvity dlia zaokhochennia i zaluchennia suchasnoi molodi do provedennia samostiinykh naukovykh doslidzhen, N.B Shakhovska., V.A. Vysotska, L.V. Chyrun, Informatsiini systemy ta merezhi. Visnyk Natsionalnoho universytetu "Lvivska politekhnika", No 832, Lviv, 2015, P. 254-284.
dc.relation.referencesen40. Shakhovska Natalya. Intelligent Systems Design of Distance Learning Realization for Modern Youth Promotion and Involvement in Independent Scientific Researches, Natalya Shakhovska, Victoria Vysotska, Lyubomyr Chyrun, Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing 512. Natalya Shakhovska Editor. Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2016, September 6–10 Lviv, Ukraine, 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, Library of Congress Control Number: 2016950408, Springer International Publishing AG 2017, PP. 175-198., Access mode: http://www.springer.com/us/book/9783319459905.
dc.relation.referencesen41. Lytvyn Vasyl. Distance Learning Method for Modern Youth Promotion and Involvement in Independent Scientific Researches, Vasyl Lytvyn, Victoria Vysotska, Liliya Chyrun, Lyubomyr Chyrun, DATA STREAM MINING & PROCESSING. Proceedings of the 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP), August 23-27, 2016, Lviv, Ukraine, PP. 269-274.
dc.relation.referencesen42. Antonii Rzheuskyi, Orest Kutyuk, Victoria Vysotska, Yevhen Burov, Vasyl Lytvyn, Lyubomyr Chyrun. The Architecture of Distant Competencies Analyzing System for IT Recruitment, 2019 IEEE 14th International Scientific and Technical Conference on Computer Science and Information Nechnologies (CSIT’2019) : proceedings, Volume 3, 17-20 September 2019, Lviv, Ukraine, PP. 254-261.
dc.relation.referencesen43. Shakhovska, N., Vovk, O., Hasko, R., Kryvenchuk, Y., The method of big data processing for distance educational system. In: Advances in Intelligent Systems and Computing, 689, 461-473. (2018)
dc.relation.referencesen44. Rzheuskyi, A., Kutyuk, O., Voloshyn, O., Kowalska-Styczen, A., Voloshyn, V., Chyrun, L., Chyrun, S., Peleshko, D., Rak, T., The Intellectual System Development of Distant Competencies Analyzing for IT Recruitment. In: Advances in Intelligent Systems and Computing IV, Springer, Cham, 1080, 696-720. (2020)
dc.relation.referencesen45. Shakhovska, N., Vysotska, V., Chyrun, L., Features of E-Learning Realization Using Virtual Research Laboratory. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 143–148. (2016)
dc.relation.referencesen46. Antonii Rzheuskyi, Orest Kutyuk, Victoria Vysotska, Yevhen Burov, Vasyl Lytvyn, Lyubomyr Chyrun. The Architecture of Distant Competencies Analyzing System for IT Recruitment, 2019 IEEE 14th International Scientific and Technical Conference on Computer Science and Information Nechnologies (CSIT’2019) : proceedings, Volume 3, 17-20 September 2019, Lviv, Ukraine, PP. 254-261.
dc.relation.referencesen47. Chyrun L., Leshchynskyy E., Lytvyn V., Rzheuskyi A., Vysotska V., Borzov Y. Intellectual analysis of making decisions tree in information systems of screening observation for immunological patients, CEUR Workshop Proceedings, 2019, Vol. 2488. Proceedings of the 2nd International workshop on informatics & data-driven medicine IDDM 2019 (Lviv, Ukraine, November 11-13, 2019). Vol. 1, P. 281–296.
dc.relation.referencesen48. Odrekhivskyy, M., Pasichnyk, V., Rzheuskyi, A., Andrunyk, V., Nazaruk, M., Kunanets, O., Tabachyshyn, D., Problems of the Intelligent Virtual Learning Environment Development. In: CEUR Workshop Proceedings, Vol-2386, 359-369. (2019)
dc.relation.referencesen49. Golovko, V., Savitsky, Y., Laopoulos, T., Sachenko, A., Grandinetti, L., Technique of learning rate estimation for efficient training of MLP. In: Neural Networks, IJCNN, 323-328. (2000).
dc.citation.spage184
dc.citation.epage190
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
Appears in Collections:Computational linguistics and intelligent systems. – 2020 р.

Files in This Item:
File Description SizeFormat 
2020v2_Yaloveha_O-Development_of_Information_184-190.pdf1.24 MBAdobe PDFView/Open
2020v2_Yaloveha_O-Development_of_Information_184-190__COVER.png266.2 kBimage/pngView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.