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 efficiency
of 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., 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.
Hnatushenko Volodymyr, Garkusha Igor, Vasyliev Volodymyr. 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 the territory 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.
Mozgovoy Dmitriy, Hnatushenko Volodymyr, Vasyliev Volodymyr. 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.
Kashtan V.,
Hnatushenko V. and Zhir S. 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.
Hnatushenko
Volodymyr, Hnatushenko Victoriia, Dorosh Nataliia, Solodka Nataliia, Liashenko
Oksana. 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. Hnatushenko Volodymyr, Korobko Olga, Lytvyn Vasyl, Nikulin Sergey,
Sergieieva Kateryna. 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. Sytnyk Roman, Hnatushenko Viktoriia, Hnatushenko Volodymyr. 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., Kogut, P., & Uvarov, M. (2022). Variational approach
for rigid co-registration of optical/SAR satellite images in agricultural
areas. Journal of Computational and Applied Mathematics, 400, 113742. doi: 10.1016/j.cam.2021.113742
51.
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
52.
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
53. 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
54.
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
55.
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
56.
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
57.
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
58.
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.
59.
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
60.
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. P.233-245. https://ceur-ws.org/Vol-3426/paper19.pdf
61. 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.
62. 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
63. 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
64. 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. 2024. 2675 012015. DOI: 10.1088/1742-6596/2675/1/012015
65. Kashtan
V., Hnatushenko V. Machine learning for automatic
extraction of water bodies using Sentinel-2 imagery. Radio Electronics, Computer Science, Control., 2024, № 1, P.118-127. DOI: 10.15588/1607-3274-2024-1-11
66. Vysotska
V., Burov Y., Hnatushenko V., Chyrun L., Chyrun S., Diakoniu L., Kolyasa L.,
Huhul O., Naum O. Decision-Making Methods and Models for Intelligent Business
Analytics Systems in Online Tourism. COLINS-2024: 8h International Conference
on Computational Linguistics and Intelligent Systems, April 12–13, 2024, Lviv,
Ukraine. https://ceur-ws.org/Vol-3688/paper24.pdf
67. Kashtan,
V., Ivanov, D., Hnatushenko, V. (2024). Geoinformation Technology for Modeling
and Mapping Flooding Territory in the Event of the Dnipro Hydroelectric Power
Station Dam Failure. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in
Data Engineering, Computational Intelligence, and Decision-Making, Volume 1.
ISDMCI 2024. Lecture Notes on Data Engineering and Communications Technologies,
vol 219. Springer, Cham. https://doi.org/10.1007/978-3-031-70959-3_5
68. Aziukovskyi,
O., Hnatushenko, V. et al. (2024). Architecture of a
Computer Decision Support System for CADx Breast Cancer. In: Babichev, S.,
Lytvynenko, V. (eds) Lecture Notes in Data Engineering, Computational
Intelligence, and Decision-Making, Volume 1. ISDMCI 2024. Lecture Notes on Data
Engineering and Communications Technologies, vol 219. Springer, Cham. https://doi.org/10.1007/978-3-031-70959-3_21
69. Hnatushenko
V., Vovk N., Sydoruk M. Creating effective
Translation and Localization Strategies to promote Korean Culture on the Ukrainian-language Internet. CLW-2024: Computational Linguistics Workshop at 8th International
Conference on Computational Linguistics and Intelligent Systems (CoLInS-2024),
April 12–13, 2024, Lviv, Ukraine. https://ceur-ws.org/Vol-3722/paper13.pdf
70. Volodymyr Hnatushenko, Serhii Nikulin, Vita Kashtan
and Olga Korobko. Methodology for Calculating the Geological Structure
Complexity Index Using Remote Sensing Data to Improve the Efficiency of Machine
Learning. ICST-2024: Information Control Systems & Technologies, September,
23 – 25, 2024, Odesa, Ukraine. https://ceur-ws.org/Vol-3790/paper17.pdf
71. V. Hnatushenko, T. Bulana, B. Molodets, D. Boldyriev. Development
of UAV Image Processing Algorithms for Early Detection of Fires in Natural
Ecosystems. 2024 IEEE 7th International Conference on Actual problems of
unmanned aerial vehicles developments (APUAVD). October 22-24, 2024, Kyiv,
Ukraine. P.219-223. DOI: 10.1109/APUAVD64488.2024.10765845
72. Kashtan V.Yu., Hnatushenko
V., Laktionov I.S., Diachenko H.H. Intelligent Sentinel satellite image processing
technology for land cover mapping. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu,
2024, № 5. P.143-150. https://doi.org/10.33271/nvngu/2024-5/143
73. Hnatushenko, V., Hnatushenko, V., and Soldatenko, D.:
Neural Network-Based Analysis of Forest Fire Aftermath in Class-Imbalanced
Remote Sensing Earth Image Classification, Int. Arch. Photogramm. Remote Sens.
Spatial Inf. Sci., XLVIII-3-2024, 223–229, https://isprs-archives.copernicus.org/articles/XLVIII-3-2024/223/2024/, 2024.
74. Hnatushenko
V., Bulana T., Gomilko I., Molodets B., Boldyriev D., Information System for Air Quality Assessment and Data
Processing: Design and Implementation. Information Technology and
Implementation (IT&I-2024), November 20-21, 2024, Kyiv, Ukraine https://ceur-ws.org/Vol-3909/Paper_32.pdf
75. Radionov
Y. D., Kashtan V. Yu., Hnatushenko V. V., Kazymyrenko O.V. Aircraft detection with deep neural networks and
contour-based methods. Radio
Electronics, Computer Science, Control., 2024, № 4, Pp.121-129. DOI 10.15588/1607-3274-2024-4-12
76. Sokolova N., Hnatushenko V. Information Technologies in IT
Education as a Factor of Digitalization of Ukrainian Society. AdvAIT-2024: 1st
International Workshop on Advanced Applied Information Technologies, November
29, 2024, Khmelnytskyi, Ukraine - Zilina, Slovakia https://ceur-ws.org/Vol-3899/paper1.pdf
77. Hnatushenko V., Shuleshko V., Bulana T., Molodets B.
Information System to Enhance Agricultural Production Efficiency Based on
Sustainable Development Principles. AdvAIT-2024: 1st International Workshop on
Advanced Applied Information Technologies, November 29, 2024, Khmelnytskyi,
Ukraine - Zilina, Slovakia https://ceur-ws.org/Vol-3899/paper2.pdf
78. Svitlana Klymenko, Vitaliy Konko, Oleksii Klymenko,
Volodymyr Hnatushenko, Marina Bychkova. Analytical review of interactive
technologies for teaching cybersecurity skills. CH&CMiGIN’24: Third
International Conference on Cyber Hygiene & Conflict Management in Global
Information Networks, January 24–27, 2024, Kyiv, Ukraine https://ceur-ws.org/Vol-3925/short04.pdf
79. Aziukovskyi
O., Gadiatskyi V., Hnatushenko V., Ivanov D., Olevskyi V. and Zavizion V. Computer-Aided Diagnosis Models for Breast Cancer
Detection Decision Support Systems. International Journal of Computing, 2025, 24(1),
72-80. https://doi.org/10.47839/ijc.24.1.3878
80. Kashtan V.Yu., Hnatushenko
V.V. Intelligent
technology for land cover monitoring due to amber mining on optical satellite
images. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2025, № 3. P.156-164. https://doi.org/10.33271/nvngu/2025-3/156
81. Hnatushenko,
Vik., Kashtan, V. Y., Hnatushenko, V. V., and Heipke, C.:
Flood Forecasting with Sentinel-2 Images Using Machine Learning, Int. Arch.
Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025,
583–588, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-583-2025, 2025.
82. Aziukovskyi O., Hnatushenko V., Kashtan V., Polyanska
A., Jamróz A. Intelligent electricity load forecasting method using
ARIMA-LSTM-Random Forest. Inżynieria
Mineralna – Journal of the Polish Mineral Engineering Society. Vol. 1 No.
1 (2025). DOI: https://doi.org/10.29227/IM-2025-01-18
83. Hnatushenko V., Tkachenko S., Beshta L. Methodology of
decision support for regulation of electric power consumption by influencing
the operation of a mine drainage complex. International Scientific Symposium
“Intelligent Solutions” (IntSol-2025), May 01-05, 2025, Kyiv-Uzhhorod, Ukraine.
84. Kashtan
V., Hnatushenko V. Deep learning-based
segmentation of multi-temporal satellite imagery for flood detection. ISW-2025:
Intelligent Systems Workshop at 9th International Conference on Computational
Linguistics and Intelligent Systems (CoLInS-2025), May 15–16, 2025, Kharkiv,
Ukraine. P.103-114. https://ceur-ws.org/Vol-3983/paper8.pdf
85. Kashtan
V., Radionov Y., Hnatushenko V. Aircraft detection
in aerial imagery based on YOLO architectures. ISW-2025:
Intelligent Systems Workshop at 9th International Conference on Computational
Linguistics and Intelligent Systems (CoLInS-2025), May 15–16, 2025, Kharkiv,
Ukraine. P.196-208. https://ceur-ws.org/Vol-3983/paper15.pdf
86. Kashtan
Vita, Hnatushenko Volodymyr, Ovcharenko Maksym, Ivanko Artem. A hybrid neural
network architecture for semantic-contextual analysis of emotions in social
media. MoDaST 2025: Modern Data Science Technologies Doctoral Consortium, June,
15, 2025, Lviv, Ukraine, Pp.15-28. https://ceur-ws.org/Vol-4005/paper2.pdf
87. Hnatushenko
Volodymyr, Kashtan Vita, Kazymyrenko Oleksii. Information technology for
detecting cars on aerial imaging using a modified YOLO-OBB architecture. MoDaST
2025: Modern Data Science Technologies Doctoral Consortium, June, 15, 2025,
Lviv, Ukraine, Pp. 293-304. https://ceur-ws.org/Vol-4005/paper20.pdf
88. Dmytro Babets, Zbigniew Opilski, Volodymyr
Hnatushenko, Vita Kashtan, Agnieszka Michalczuk, Olena Sdvyzhkova, Erwin Maciak
and Krzysztof A. Cyran. Isolation Forest as a Tool for Entangled Photon
Detection. CoDIT 2025, 15-18 July, 2025 at Split, Croatia
89. Kashtan
Vita, Hnatushenko Volodymyr, Babets Dmytro, Cyran Krzysztof, Wereszczyński
Kamil. Hybrid quantum CNN-based information technology for building semantic
segmentation in aerial imagery. PhD Workshop on Artificial Intelligence in
Computer Science at 9th International Conference on Computational Linguistics
and Intelligent Systems (CoLInS-2025), May 15–16, 2025, Kharkiv, Ukraine.
Pp.150-162. https://ceur-ws.org/Vol-4015/paper11.pdf
90. Kashtan
V. Yu., Hnatushenko V. V., Udovyk I. M., Kazymyrenko O. V., Radionov Y. D. A
neural network approach to semantic segmentation of vehicles in very high
resolution images. Radio Electronics, Computer Science, Control., 2025, № 3(74),
Pp.77-85. DOI: 10.15588/1607-3274-2025-3-8
