1. Електронний науковий архів Науково-технічної бібліотеки Національного університету "Львівська політехніка"
2. Електронний архів Науково-технічної бібліотеки
3. Матеріали конференцій
4. Computational linguistics and intelligent systems
5. Computational linguistics and intelligent systems. – 2020 р.

Title:	Intellectual System of Analysis and Forecasting of Road Condition
Authors:	Malesh, Petro Lytvyn, Vasyl Rybchak, Zoriana
Affiliation:	Lviv Polytechnic National University
Bibliographic description (Ukraine):	Malesh P. Intellectual System of Analysis and Forecasting of Road Condition / Petro Malesh, Vasyl Lytvyn, Zoriana Rybchak // 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. 327–329. — (Intelligent Systems).
Bibliographic description (International):	Malesh P. Intellectual System of Analysis and Forecasting of Road Condition / Petro Malesh, Vasyl Lytvyn, Zoriana Rybchak // 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. 327–329. — (Intelligent Systems).
Is part of:	Computational linguistics and intelligent systems : proceedings of the 4nd International conference (2), 2020
Issue Date:	23-Apr-2020
Publisher:	Видавництво Львівської політехніки Lviv Politechnic Publishing House
Place of the edition/event:	Львів Lviv
Temporal Coverage:	23-24 April 2020, Lviv, Ukraine
Number of pages:	3
Page range:	327-329
Start page:	327
End page:	329
URI:	https://ena.lpnu.ua/handle/ntb/52179
ISSN:	2523-4013
Copyright owner:	© Національний університет “Львівська політехніка”, 2020
URL for reference material:	https://patents.google.com/patent/WO2013173911A1/en https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/met.1486
References (Ukraine):	1. Road surface condition classification method and system. - Access mode: https://patents.google.com/patent/WO2013173911A1/en 2. RoadSurf: a modelling system for predicting road weather and road surface conditions, https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/met.1486 3. Fedorov, E., Nechyporenko, O., Utkina, T.: Forecast Method for Natural Language Constructions Based on a Modified Gated Recursive Block. In: Computational Linguistics and Intelligent Systems, COLINS, CEUR workshop proceedings, Vol-2604, 199-214. (2020). 4. Axak, N., Serdiuk, N., Ushakov, M., Korablyov, M.: Development of System for Monitoring and Forecasting of Employee Health on the Enterprise. In: Computational Linguistics and Intelligent Systems, COLINS, CEUR workshop proceedings, Vol-2604, 979-992. (2020). 5. Bidyuk, P., Gozhyj, A., Kalinina, I., Gozhyj, V.: Analysis of uncertainty types for model building and forecasting dynamic processes. In: Advances in Intelligent Systems and Computing II, 689, Springer-Verlag, 66-78. (2018) 6. Висоцька В. А. Методи та засоби функціонування систем підтримки прийняття рішень на основі онтологій: монографія / В.А. Висоцька, Д.Г. Досин, Х.І. Микіч, І.І. Завущак, З.Л. Рибчак. – Львів: Видавництво «Новий світ – 2000», 2019. – 334 с. 7. Lytvynenko, V., Wojcik, W., Fefelov, A., Lurie, I., Savina, N., Voronenko, M. et al.: Hybrid Methods of GMDH-Neural Networks Synthesis and Training for Solving Problems of Time Series Forecasting. In: Lecture Notes in Computational Intelligence and Decision Making, 1020, 513-531. (2020) 8. Artemenko, O., Pasichnyk, V., Kunanets, N., Shunevych, K.: Using sentiment text analysis of user reviews in social media for e-tourism mobile recommender systems. In: Computational Linguistics and Intelligent Systems, COLINS, CEUR workshop proceedings, Vol2604, 259-271. (2020). 9. Su, J., Sachenko, A., Lytvyn, V., Vysotska, V., Dosyn, D.: Model of Touristic Information Resources Integration According to User Needs. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 113-116. (2018) 10. Lytvyn, V., Vysotska, V., Burov, Y., Demchuk, A.: Architectural ontology designed for intellectual analysis of e-tourism resources. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 335-338. (2018) 11. Antonyuk, N., Vysotsky, A., Vysotska, V., Lytvyn, V., Burov, Y., Demchuk, A., Lyudkevych, I., Chyrun, L., Chyrun, S., Bobyk, І.: Consolidated Information Web Resource for Online Tourism Based on Data Integration and Geolocation. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 15-20. (2019) 12. Vysotsky, A., Lytvyn, V., Vysotska, V., Dosyn, D., Lyudkevych, I., Antonyuk, N., Naum, O., Vysotskyi, A., Chyrun, L., Slyusarchuk, O.: Online Tourism System for Proposals Formation to User Based on Data Integration from Various Sources. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 92-97. (2019) 13. Shakhovska, N., Shakhovska, K., Fedushko, S.: Some Aspects of the Method for Tourist Route Creation. In: Advances in Artificial Systems for Medicine and Education II, 902, 527-537. (2019). 14. Antonyuk, N., Medykovskyy, M., Chyrun, L., Dverii, M., Oborska, O., Krylyshyn, M., Vysotsky, A., Tsiura, N., Naum, O.: Online Tourism System Development for Searching and Planning Trips with User’s Requirements. In: Advances in Intelligent Systems and Computing IV, Springer Nature Switzerland AG 2020, 1080, 831-863. (2020) 15. Lozynska, O., Savchuk, V., Pasichnyk, V.: Individual Sign Translator Component of Tourist Information System. In: Advances in Intelligent Systems and Computing IV, Springer Nature Switzerland AG 2020, Springer, Cham, 1080, 593-601. (2020) 16. 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)
References (International):	1. Road surface condition classification method and system, Access mode: https://patents.google.com/patent/WO2013173911A1/en 2. RoadSurf: a modelling system for predicting road weather and road surface conditions, https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/met.1486 3. Fedorov, E., Nechyporenko, O., Utkina, T., Forecast Method for Natural Language Constructions Based on a Modified Gated Recursive Block. In: Computational Linguistics and Intelligent Systems, COLINS, CEUR workshop proceedings, Vol-2604, 199-214. (2020). 4. Axak, N., Serdiuk, N., Ushakov, M., Korablyov, M., Development of System for Monitoring and Forecasting of Employee Health on the Enterprise. In: Computational Linguistics and Intelligent Systems, COLINS, CEUR workshop proceedings, Vol-2604, 979-992. (2020). 5. Bidyuk, P., Gozhyj, A., Kalinina, I., Gozhyj, V., Analysis of uncertainty types for model building and forecasting dynamic processes. In: Advances in Intelligent Systems and Computing II, 689, Springer-Verlag, 66-78. (2018) 6. Vysotska V. A. Metody ta zasoby funktsionuvannia system pidtrymky pryiniattia rishen na osnovi ontolohii: monograph, V.A. Vysotska, D.H. Dosyn, Kh.I. Mykich, I.I. Zavushchak, Z.L. Rybchak, Lviv: Vydavnytstvo "Novyi svit – 2000", 2019, 334 p. 7. Lytvynenko, V., Wojcik, W., Fefelov, A., Lurie, I., Savina, N., Voronenko, M. et al., Hybrid Methods of GMDH-Neural Networks Synthesis and Training for Solving Problems of Time Series Forecasting. In: Lecture Notes in Computational Intelligence and Decision Making, 1020, 513-531. (2020) 8. Artemenko, O., Pasichnyk, V., Kunanets, N., Shunevych, K., Using sentiment text analysis of user reviews in social media for e-tourism mobile recommender systems. In: Computational Linguistics and Intelligent Systems, COLINS, CEUR workshop proceedings, Vol2604, 259-271. (2020). 9. Su, J., Sachenko, A., Lytvyn, V., Vysotska, V., Dosyn, D., Model of Touristic Information Resources Integration According to User Needs. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 113-116. (2018) 10. Lytvyn, V., Vysotska, V., Burov, Y., Demchuk, A., Architectural ontology designed for intellectual analysis of e-tourism resources. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 335-338. (2018) 11. Antonyuk, N., Vysotsky, A., Vysotska, V., Lytvyn, V., Burov, Y., Demchuk, A., Lyudkevych, I., Chyrun, L., Chyrun, S., Bobyk, I., Consolidated Information Web Resource for Online Tourism Based on Data Integration and Geolocation. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 15-20. (2019) 12. Vysotsky, A., Lytvyn, V., Vysotska, V., Dosyn, D., Lyudkevych, I., Antonyuk, N., Naum, O., Vysotskyi, A., Chyrun, L., Slyusarchuk, O., Online Tourism System for Proposals Formation to User Based on Data Integration from Various Sources. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 92-97. (2019) 13. Shakhovska, N., Shakhovska, K., Fedushko, S., Some Aspects of the Method for Tourist Route Creation. In: Advances in Artificial Systems for Medicine and Education II, 902, 527-537. (2019). 14. Antonyuk, N., Medykovskyy, M., Chyrun, L., Dverii, M., Oborska, O., Krylyshyn, M., Vysotsky, A., Tsiura, N., Naum, O., Online Tourism System Development for Searching and Planning Trips with User’s Requirements. In: Advances in Intelligent Systems and Computing IV, Springer Nature Switzerland AG 2020, 1080, 831-863. (2020) 15. Lozynska, O., Savchuk, V., Pasichnyk, V., Individual Sign Translator Component of Tourist Information System. In: Advances in Intelligent Systems and Computing IV, Springer Nature Switzerland AG 2020, Springer, Cham, 1080, 593-601. (2020) 16. 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)
Content type:	Article
Appears in Collections:	Computational linguistics and intelligent systems. – 2020 р.

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