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Position: Head of Department of Information Technology and Computer Engineering.  Scientific rank: Professor. Scientific degree: Doctor of Technical Sciences (Dr.-Ing. habil.). E-mail: Hnatushenko.V.V@nmu.one Cabinet: 1/65, 1/79

Educational work

Professor Hnatushenko V.V. teaches disciplines: "Operating systems", "Web-technology and Web-design", "Digital signal processing", "Methods of image processing", "IT project management", "Methods of computer processing of digital multichannel data", etc. His pupils are active participants and numerous winners of the All-Ukrainian competitions of student's scientific works, programming olympiads.

Certification training

The primary methodological center for advanced education and training of the Oles Gonchar Dnipro National University, Internship Program from 01/31/2018 to 01/03/2018, Topic: "Digital Signal Processing" Reference # 89-400-156.

Training "Interactive methods in teaching" of the T-Update training center, February 07-08, 2020. Certificate No. 26/2020.

Intensive training course "TECH SUMMER FOR TEACHERS" from Softserve, 16-17.07.2020, a mini-project has been prepared. Softserve certificate.

Center for postgraduate education and advanced training of personnel of the National Metallurgical Academy of Ukraine. (270 hours). Internship program from 08.02.2021 to 30.04.2021 in 07 - Management and administration, special. Management, topic: "Management of innovations in a modern educational institution." Certificate No. 02070766/719-21.

Center for postgraduate education and advanced training of personnel of the National Metallurgical Academy of Ukraine. Educational and practical seminar "Innovative educational technologies in educational institutions" (30 hours). 09/06/2021 - 09/15/2021 Certificate No. 583-723.

Center for postgraduate education and advanced training of personnel of the National Metallurgical Academy of Ukraine. Educational and practical seminar "Pedagogy and psychology of educational processes in educational institutions" (30 hours). 09/13/2021 - 09/21/2021 Certificate No. 599-772.

International Internship in the Computer Science Program. The scientific-practical and methodological-pedagogical course was conducted in Geobit-Pangea featuring AGH University of Science and Technology in Krakéw, Jagiellonian University in Krakow, Wroclaw University of Science and Technology (Poland). 27 December 2021 - 07 February 2022. Certificate No. 17/PL-MCR/2022.

Training: "Cyber security and artificial intelligence", Politechnika Krakowska im. Tadeusza Kościuszki, National Technical University of Poland. July 29-August 5, 2022. (15 hours). Certificate No. CWUP 020822-34 (No. 162 ag, dated July 28, 2022).

Training "Accreditation of educational programs from A to Z: practical cases", November 17-24, 2022. Center for professional development of personnel of Dnipro University of Technology. 30 hours (1 ECTS credit). Certificate No. ZKCPR02070743-10-032.

Training "Distance learning: design, implementation and quality of teaching", May 17-19, 2023. Center for professional development of personnel of Dnipro University of Technology. (30 hours). Certificate No. ZKCPR02070743-015-030.

 

Scientific activity

Professor Hnatushenko V. is a specialist in the field of information technology, mathematical and computer modeling of processes and systems. Under the supervision and with direct participation of the developed mathematical models of the formation of the spatial distributions of brightness scanner remote sensing data recorded from aerospace platforms. Evidence of high scientific authority prof. Hnatushenko is his repeated involvement as an opponent of dissertation research submitted for the degree of Candidate and Doctor of Sciences. He is the author of more than 350 scientific and educational works, including patents. He participated in numerous international conferences and symposia. Member of the program committees of international conferences, IEEE Senior Member. Professor Hnatushenko V. is a member of the editorial boards of an international scientific journals, conducts a great deal of scientific and organizational work on the training of highly qualified scientific personnel. He has supervised 1 Dr. Sc. and 10 Ph.D. theses. He is an expert of the Department of certification of highly qualified personnel and licensing of the Ministry of Education and Science.

ORCID ID 0000-0003-3140-3788

Scopus Author ID  6505609275

Web of Science Researcher ID C-8740-2016

Researchgate ID Volodymyr Hnatushenko

Google Scholar Volodymyr Hnatushenko

 

Other activity

Prof. Hnatushenko V.V. cooperates with enterprises, which allows adapting the appropriate curriculum for preparing students in accordance with the requirements of leading IT companies. Member of the scientific-methodical commission on “Information Technologies, Automation and Telecommunications”.

Biography

Volodymyr V. Hnatushenko was born in Murmansk in 1975. He received the B.S. and M.S. degrees in Technology and Telecommunications from Dnipropetrovsk National University, Ukraine, and the Ph.D. degree in information technologies from Tavria Technological University, Melitopol, Ukraine, in 1998, 1999 and 2003, respectively. He received the Doctor of Technical Science in Information technologies in 2009.  Dissertation topic "Geometrical models of formation and preliminary processing digital photogrammetric images of the high spatial resolution". In 2006 – docent (equivalent to Associate Professor), 2011 – Full Professor.

Prof. Hnatushenko received the Grant of the Cabinet of Ministers for young scientists from 2005 to 2007, Grant of the Supreme Soviet of Ukraine "For the most talented young scientists" 2010 and Grant of the President of Ukraine in 2011.

1.     Gnatushenko V. The use of geometrical methods in multispectral image processing. Journal of Automation and Information Sciences, Volume 35 (12), 1-8, 2003. DOI: 10.1615/JAutomatInfScien.v35.i12.10

2.     Gnatushenko V. Usage of geometrical methods at multispectral images analysis. Problemy Upravleniya I Informatiki (Avtomatika), 2003. (6), pp. 72-81.

3.     Bezpalov A. Y., Gnatushenko V., Ovsyanikov V. V., Ovsyanikov V. V., Reuta O. V., Safonov V. V., Sydorenko O. A. Research of Antennas Made Gas Plasma on Microwave Band. The 4th European Conference on Antennas & Propagation “EuCAP 2010” Barselona, 12-16 April 2010. http://galayaa.com/EUCAP/.

4.     Hnatushenko V., Kavats O.O., Makarov O.L., Brazhnik D.P. An investigation of efficiencyof fusion methods of scanner aerospace multispectral images. Kosmìčna Nauka Ì Tehnologìâ. DOI: 10.15407/KNIT2014.05.050

5.     Hnatushenko V., Hnatushenko Vik.V., Kavats A.A., Shevchenko V.Ju. Pansharpening technology of high resolution multispectral and panchromatic satellite images. Scientific bulletin of National Mining University. - State Higher Educational Institution “National Mining University”, Dnipropetrovsk, 2015. № 4 (148). С. 91-98.

6.     Mihalyov, A., Hnatushenko, V., Hnatushenko, V., & Vladimirska, N. (2015). Optimization model lifetime wireless sensor network. 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2015, pp. 867-871, doi: 10.1109/IDAACS.2015.7341427.

7.     Hnatushenko V., Kavats О.О., Kibukevych I.O. Efficiency Determination of Scanner Data Fusion Methods of Space Multispectral Images. International Young Scientists Forum on Applied Physics «YSF-2015», September 29 - October 2, 2015 / Dnipropetrovsk, Ukraine. IEEE Catalog Number: CFP15YSF-CDR. ISBN: 978-1-4673-6976-3. Doi: 10.1109/YSF.2015.7333153

8.     Vytovtov, K., Zouhdi, S., Dubrovka, R., & Hnatushenko, V. (2016). The Terahertz Controlled Duplex Isolator: Physical Grounds and Numerical Experiment. International Journal of Microwave Science and Technology, 2016, 1–7.doi: 10.1155/2016/1468508

9.     Hnatushenko V., Hnatushenko Vik.V., Mozgovyi D.K., Vasiliev V.V. Satellite technology of the forest fires effects monitoring. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, Dnipropetrovsk, 2016. № 1 (151). С. 70-76.

10. Hnatushenko, V. V. and Vasyliev, V. V.: Remote sensing image fusion using ICA and optimized wavelet transform. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 653–659, 2016. https://doi.org/10.5194/isprs-archives-XLI-B7-653-2016

11. Hnatushenko, V., Kavats, O., Kubanek, M., & Kibukevych, Y. (2016). Conditions and limitations of digital satellite image pre-processing for the further 3D modeling. Journal of Applied Mathematics and Computational Mechanics, 15(3), 57-65. doi:10.17512/jamcm.2016.3.06

12. Shedlovska, Y. I., Hnatushenko, V.V. (2016). Shadow detection and removal using a shadow formation model. 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP). doi:10.1109/dsmp.2016.7583537.

13. Shedlovska, Y. I., & Hnatushenko, V. V. (2016). Shadow removal algorithm with shadow area border processing. 2016 II International Young Scientists Forum on Applied Physics and Engineering (YSF). doi:10.1109/ysf.2016.7753827.

14. Garkusha I.N., Hnatushenko V.V. and Vasyliev V. V. Research of influence of atmosphere and humidity on the data of radar imaging by Sentinel-1, 2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO), Kiev, 2017, pp. 405-408. doi: 10.1109/ELNANO.2017.7939787.

15. Hnatushenko V.V., Hnatushenko Vik.V., Mozgovyi D.K., Vasyliev V.V., Kavats O.O. Satellite Monitoring of Consequences of Illegal Extraction of Amber in Ukraine. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2017, 2 (158), стр. 99–105.

16. Garkusha, I. N., Hnatushenko, V. V., & Vasyliev, V. V. (2017). Using Sentinel-1 data for monitoring of soil moisture. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).doi:10.1109/igarss.2017.8127291

17. Hnatushenko V.V., Mozgovyi D.K., Vasyliev V.V. Satellite Monitoring of Deforestation as a Result of Mining. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, Dnipropetrovsk, 2017. № 5 (161). С. 94-99.

18. Volodymyr Hnatushenko, Igor Garkusha, and Volodymyr Vasyliev "Creating soil moisture maps based on radar satellite imagery", Proc. SPIE 10426, Active and Passive Microwave Remote Sensing for Environmental Monitoring, 104260J (3 October 2017); https://doi.org/10.1117/12.2278040

19. Kashtan, V. J., Hnatushenko, V. V., Shedlovska, Y. I. (2017). Processing technology of multispectral remote sensing images. 2017 IEEE International Young Scientists Forum on Applied Physics and Engineering (YSF). doi:10.1109/ysf.2017.8126647.

20. Shedlovska, Y. I., Hnatushenko, V. V., Kashtan, V. J. (2017). Satellite imagery features for the image similarity estimation. 2017 IEEE International Young Scientists Forum on Applied Physics and Engineering (YSF). doi:10.1109/ysf.2017.8126673.

21. Hordiiuk, D. M., Hnatushenko, V. V. (2017).Neural network and local laplace filter methods applied to very high resolution remote sensing imagery in urban damage detection. 2017 IEEE International Young Scientists Forum on Applied Physics and Engineering (YSF).doi:10.1109/ysf.2017.8126648.

22. Shedlovska, Y. I., Hnatushenko, V. V. (2018). A Very High Resolution Satellite Imagery Classification Algorithm.  2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO), 2018, pp. 654-657, doi: 10.1109/ELNANO.2018.8477447.

23. Mozgovoy, D.K., Hnatushenko, V.V., and Vasyliev, V.V.: Automated recognition of vegetation and water bodies on theterritory of megacities in satellite images of visible and IR bands, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 167–172, https://doi.org/10.5194/isprs-annals-IV-3-167-2018 , 2018.

24. Dmitriy Mozgovoy, Volodymyr Hnatushenko, and Volodymyr Vasyliev "Accuracy evaluation of automated object recognition using multispectral aerial images and neural network", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108060H (9 August 2018); https://doi.org/10.1117/12.2502905.

25. Garkusha, I. N., & Hnatushenko, V. V. (2018). Modeling the TOA Brightness Temperature on the SWIR-Sensors. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. doi:10.1109/igarss.2018.8519287.

26. Hnatushenko, V. V., Sierikova, K. Y., Sierikov, I. Y. (2018). Development of a Cloud-Based Web Geospatial Information System for Agricultural Monitoring Using Sentinel-2 Data. 2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT). doi:10.1109/stc-csit.2018.8526717.

27. Hordiiuk, D., Oliinyk, I., Hnatushenko, V., Maksymov, K. (2019). Semantic Segmentation for Ships Detection from Satellite Imagery. 2019 IEEE 39th International Conference on Electronics and Nanotechnology (ELNANO). doi:10.1109/elnano.2019.8783822.

28. Prokofiev, T. A., Ivanchenko, A. V., Gnatushenko, V. V. (2019). Luminescent Analysis of ZnS:Mn Single-Crystal Lattice Changes During Plastic Deformation. Journal of Applied Spectroscopy. doi:10.1007/s10812-019-00802-8.

29. Shedlovska, Y., Hnatushenko, V. (2019). Shadow Removal Algorithm for Remote Sensing Imagery. 2019 IEEE 39th International Conference on Electronics and Nanotechnology (ELNANO), 2019, pp. 818-822, doi: 10.1109/ELNANO.2019.8783642.

30. Hnatushenko, V., & Zhernovyi, V. (2019). Complex Approach of High-Resolution Multispectral Data Engineering for Deep Neural Network Processing. Lecture Notes in Computational Intelligence and Decision Making, 659–672. doi:10.1007/978-3-030-26474-1_46.

31. Hnatushenko V., Mozgovoy D.K., Hnatushenko Vik.V., Spirintsev V.V., Udovyk I.M. All-weather monitoring of oil and gas production areas using satellite data. Scientific bulletin of National Mining University. - State Higher Educational Institution “National Mining University”, Dnipro, 2019. № 6 (174). С. 137-143. doi: 10.29202/nvngu/2019-6/20.

32. Hnatushenko V.V., Kogut P. I., Uvarov M. V. On Optimal 2-D Domain Segmentation Problem via Piecewise Smooth Approximation of Selective Target Mappings. Journal of Optimization, Differential Equations and Their Applications. Volume 27, Issue 2, December 2019, pp. 60–95. DOI: 10.15421/141908.

33. Kashtan, V.J., Hnatushenko, V.V. Computer technology of high resolution satellite image processing based on packet wavelet transform. Proceedings of the International Workshop on Conflict Management in Global Information Networks (CMiGIN 2019). Lviv, Ukraine, November 29, 2019. P.370-380. URN: urn:nbn:de:0074-2588-5

34. Kavats O., Hnatushenko V., Kibukevych Y., Kavats Y. (2020) Flood Monitoring Using Multi-temporal Synthetic Aperture Radar Images. In: Shakhovska N., Medykovskyy M. (eds) Advances in Intelligent Systems and Computing IV. CCSIT 2019. Advances in Intelligent Systems and Computing, vol 1080. Springer, Cham. https://link.springer.com/chapter/10.1007%2F978-3-030-33695-0_5

35. Mozgovoy D., Hnatushenko V. (2020) Information Technology of Satellite Image Processing for Monitoring of Floods and Drought. In: Shakhovska N., Medykovskyy M. (eds) Advances in Intelligent Systems and Computing IV. CCSIT 2019. Advances in Intelligent Systems and Computing, vol 1080. Springer, Cham. https://doi.org/10.1007/978-3-030-33695-0_32.

36. I. Garkusha and V. Hnatushenko. A Technology for Building a Seamless Mosaic Coverage of the Antarctica Coasts with Various-Time Images from Sentinel-1. 2020 IEEE 40th International Conference on Electronics and Nanotechnology (ELNANO), Kyiv, Ukraine, 2020, pp. 747-750, doi: 10.1109/ELNANO50318.2020.9088909.

37. Hnatushenko V., Kogut P., Uvarov M. On Flexible Co-Registration of Optical and SAR Satellite Images. In: Babichev S., Lytvynenko V., Wójcik W., Vyshemyrskaya S. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2020. Advances in Intelligent Systems and Computing, vol 1246. Pp. 515-534. Springer, Cham. https://doi.org/10.1007/978-3-030-54215-3_33

38. Kashtan V., Hnatushenko V. A wavelet and HSV pansharpening technology of high resolution satellite images. 1st International Workshop on Intelligent Information Technologies & Systems of Information Security (IntelITSIS-2020) Khmelnytskyi, Ukraine June 10 – 12, 2020 http://ceur-ws.org/Vol-2623/paper7.pdf

39. Hnatushenko V., Kogut P., Uvarov M. On Satellite Image Segmentation via Piecewise Constant Approximation of Selective Smoothed Target Mapping, Applied Mathematics and Computation, Vol.389, 2020, Id 125615, 26p, https://doi.org/10.1016/j.amc.2020.125615

40. Hnatushenko V., Hnatushenko Vik. Recognition of High Dimensional Multi-Sensor Remote Sensing Data of Various Spatial Resolution. 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP), Lviv, Ukraine, 2020, pp. 262-265, doi: 10.1109/DSMP47368.2020.9204186.

41. Hnatushenko V., Zhernovyi V. (2020) Method of Improving Instance Segmentation for Very High Resolution Remote Sensing Imagery Using Deep Learning. In: Babichev S., Peleshko D., Vynokurova O. (eds) Data Stream Mining & Processing. DSMP 2020. Communications in Computer and Information Science, vol 1158. Springer, Cham. https://doi.org/10.1007/978-3-030-61656-4_21

42. Hnatushenko V., Zheldak T.A., Koriashkina L.S. Mathematical model of steel consumption minimization considering the two-stage billets cutting. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2021, № 2. P.118-124. https://doi.org/10.33271/nvngu/2021-2/118

43. Volodymyr Hnatushenko, Vadym Zhernovyi, Iryna Udovik, Olga Shevtsova. Intelligent System for Building Separation on a Semantically Segmented Map. 2 International Workshop on Intelligent Information Technologies & Systems of Information Security (IntelITSIS-2021) Khmelnytskyi, Ukraine. http://ceur-ws.org/Vol-2853/keynote1.pdf

44. Hnatushenko V., Kashtan V. Automated pansharpening information technology of satellite images. Radio Electronics, Computer Science, Control., 2021, № 2, P.123-132. DOI 10.15588/1607-3274-2021-2-13.

45. Hnatushenko V., Hnatushenko Vik., Kashtan V., Reuta O., Udovyk I. Voxel Approach to the Shadow Formation Process in Image Analysis. 11 th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications 22-25 September, 2021, Cracow, Poland, pp. 33-36, doi: 10.1109/IDAACS53288.2021.9660909.

46. V. Kashtan, V. Hnatushenko and S. Zhir, "Information Technology Analysis of Satellite Data for Land Irrigation Monitoring : Invited Paper," 2021 IEEE International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo), 2021, pp. 1-4, doi: 10.1109/UkrMiCo52950.2021.9716592.

47. Volodymyr Hnatushenko, Victoriia Hnatushenko, Nataliia Dorosh, Nataliia Solodka, Oksana Liashenko. Non-relational approach to developing knowledge bases of expert system prototype. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2022, № 2. P.112-117. https://doi.org/10.33271/nvngu/2022-2/112

48. Volodymyr Hnatushenko, Olga Korobko, Vasyl Lytvyn, Sergey Nikulin, Kateryna Sergieieva. Information System for Estimation Spatial Characteristics of Lineament Networks Derived from Satellite Images. IntelITSIS’2022: 3nd International Workshop on Intelligent Information Technologies and Systems of Information Security, March 23–25 2022, Khmelnytskyi, Ukraine. http://ceur-ws.org/Vol-3156/paper43.pdf

49. Roman Sytnyk, Viktoriia Hnatushenko, Volodymyr Hnatushenko. Decentralized Information System for Supply Chain Management Using Blockchain. IntelITSIS’2022: 3nd International Workshop on Intelligent Information Technologies and Systems of Information Security, March 23–25 2022, Khmelnytskyi, Ukraine. http://ceur-ws.org/Vol-3156/paper45.pdf

50. Hnatushenko, V., Shedlovska, Y., Shedlovsky, I. (2023). Processing Technology of Thematic Identification and Classification of Objects in the Multispectral Remote Sensing Imagery. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making. ISDMCI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 149. Springer, Cham. https://doi.org/10.1007/978-3-031-16203-9_24

51. Kashtan, V., Hnatushenko, V. (2023). Deep Learning Technology for Automatic Burned Area Extraction Using Satellite High Spatial Resolution Images. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making. ISDMCI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 149. Springer, Cham. https://doi.org/10.1007/978-3-031-16203-9_37 

52. Zhernovyi, V., Hnatushenko, V., Shevtsova, O. (2023). IaaS-Application Development for Paralleled Remote Sensing Data Stream Processing. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making. ISDMCI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 149. Springer, Cham. https://doi.org/10.1007/978-3-031-16203-9_39

53.    Ivanov D.V., Hnatushenko V.V., Kashtan V.Yu., Garkusha I.M. Computer modeling of territory flooding in the event of an emergency at Seredniodniprovska Hydroelectric Power Plant. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2022, № 6. P.123-128. https://doi.org/10.33271/nvngu/2022-6/123

54.    Prokofyev T, Ivanchenko A, Hnatushenko V. Influence of Dislocations Move on Photoluminescence of Mn2+ Ions with Various Local Surroundings in ZnS Single Crystals in the Process of Plastic Deformation. MSF 2022; 1078:137–148. https://doi.org/10.4028/p-11di2a

55.    Olevskyi V. I., Hnatushenko V.V., Korotenko G.M., Olevska Yu. B., Obydennyi Y.O. Application of two-dimensional Padé-type approximations for image processing. Radio Electronics, Computer Science, Control., 2023, № 1, P.99-106. DOI: https://doi.org/10.15588/1607-3274-2023-1-10

56.    Molodets B., Hnatushenko V., Boldyriev D., Bulana T. Information System of Air Quality Assessment Based of Ground Stations and Meteorological Data Monitoring. IntelITSIS’2023: 4th International Workshop on Intelligent Information Technologies and Systems of Information Security, March 22–24 2023, Khmelnytskyi, Ukraine. P.195-205. https://ceur-ws.org/Vol-3373/paper9.pdf

57. Hnatushenko V., Shedlovska Y., Shedlovsky I., Gorev V. Identification of Objects on Satellite Images Using the Image Texture Properties. COLINS-2023: 7th International Conference on Computational Linguistics and Intelligent Systems, April 20–21, 2023, Kharkiv, Ukraine. P.63-76.

58. Hnatushenko V.V., Spirintseva О.V.,  Spirintsev V.V.,  Kravets O.V., Spirintsev D.V. Homomorphic filtering in digital multichannel image processing. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2023, № 3. P.118-124. https://doi.org/10.33271/nvngu/2023-3/118

59. Molodets B., Hnatushenko V., Boldyriev D., Bulana T. Information System of Air Quality Assessment Using Data Interpolation from Ground Stations. MoMLeT+DS 2023: 5th International Workshop on Modern Machine Learning Technologies and Data Science, June 3, 2023, Lviv, Ukraine. https://ceur-ws.org/Vol-3426/paper19.pdf

60. Hnatushenko, V., Hnatushenko, V., Soldatenko, D., and Heipke, C.: Enhancing the quality of CNN-based burnt area detection in satellite imagery through data augmentation, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1/W2-2023, 1749–1755,
https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1749-2023. 

61. Kashtan, V., Hnatushenko, V. Automated building damage detection on digital imagery using machine learning. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2023, № 6. P.134-140. https://doi.org/10.33271/nvngu/2023-6/134  

62. Kholodniak, Y., Havrylenko, Y., Halko, S., Hnatushenko, V., Suprun, O., Volina, T., … Shchur, T. (2023). IMPROVEMENT OF THE ALGORITHM FOR SETTING THE CHARACTERISTICS OF INTERPOLATION MONOTONE CURVE. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 13(4), 44–50. https://doi.org/10.35784/iapgos.5392  

63. Olevskyi V. I., Olevska Yu. B., Olevskyi O. V. and Hnatushenko V. V. Raster image processing using 2D Padé-type approximations. Journal of Physics: Conference Series. 2675 012015. DOI: 10.1088/1742-6596/2675/1/012015