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1. Analysis of mathematical methods for describing financial flows: dynamic modeling of an innovative company: (Content №5 2024); ... Y., Wang, P., Lin, W., & Chang, V. (2020). An innovative neural network approach for stock market prediction. The Journal of Supercomputing, 76, 2098-2118. https://doi.org/10.1007/s11227-017-2228-y. ...; Created on 29 October 2024
2. Intelligent Sentinel satellite image processing technology for land cover mapping: (Content №5 2024); ... cover mapping using convolutional neural networks. The result will be an image with improved spatial resolution. Methodology. The paper presents a technology using a combination of biquadratic interpolation, ...; Created on 29 October 2024
3. Frequency dependence of reflections on radar landmarks: (Content №5 2024); Authors: I.V.Vassiliyev, orcid.org/0000-0002-6216-0443, Special Design and Technology Bureau “Granit”, Almaty, the Republic of Kazakhstan, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. B.B.Imansakipova*, orcid.org/0000-0003-0658-2112, ...; Created on 29 October 2024
4. Establishing a plastic waste map using remote sensing data in the coastal area of Thanh Hoa province (Vietnam): (Content №5 2024); ... for detection on coastal plastic waste using unmanned aerial vehicle image and deep convolutional neural network. Journal of Geodesy and Cartography, 49, 21-29. 12. Le, T. H. P. (2022) Analysis of plastic ...; Created on 29 October 2024
5. Analysis of natural and man-made factors of landslide development in the Carpathian region using GIS: (Content №5 2024); ... Neural Networks (ANNs), and Multiple Linear Regression (MLR) for Electrical Conductivity Prediction in Aquifers in the Gallikos River Basin, Northern Greece. Hydrology, 8(3), 127. https://doi.org/10.3390/hydrology8030127. ...; Created on 29 October 2024
6. Prediction of rock fragmentation in the Boukhadra’s mine conditions: (Content №5 2024); ... Using an Artificial Neural Network and Support Vector Regression Hybrid Approach. Mining, 2, 233-2477. https://doi.org/10.3390/mining2020013. 16. Ousmanou, S., Blaise, N. N., & Martial, F. E. (2020). ...; Created on 29 October 2024
7. Research on stochastic properties of time series data on chemical analysis of cast iron: (Content №4 2024); ... 19. Khomiak, A. (2022). Methods of time series analysis using recurrent neural networks. Materialy XI Mizhnarodnoi naukovo-praktychnoi konferentsii molodykh uchenykh ta studentiv “Aktualni zadachi suchasnykh ...; Created on 28 August 2024
8. Designing the predictive control of a drum dryer using multi-agent technology: (Content №4 2024); ... Systems and Computing, 1020, 225-241. https://doi.org/10.1007/978-3-030-26474-1_17. 2. Yusupbekov, A. N., Sevinov, J. U., & Botirov, T. V. (2021). Synthesis Algorithms for Neural Network Regulator ...; Created on 28 August 2024
9. Influence of rock shear processes on the methane content of longwall faces: (Content №4 2024); ... J. (2019). Predicting Methane Concentration in Longwall Regions Using Artificial Neural Networks. International Journal of Environmental Research and Public Health, 16(8), 1406. https://doi.org/10.3390/ijerph16081406. ...; Created on 28 August 2024
10. Evaluation of the institutional development of innovative activities to ensure the economy of the state: (Content №3 2024); ... Yu., Titov, D., Prygotsky, V., & Nitsenko, V. (2023). Modeling of the synthetic indicator of competitiveness of agricultural enterprises: a methodological approach to the use of neural network tools. ...; Created on 28 June 2024
11. Current tools to control decarbonization in Ukraine both governmentally and locally: (Content №3 2024); ... 19. Herus, V., & Vitruk, S. (2022). Effectiveness of neural networks in the economy. Scientific Collection “InterConf”, (138), 389-394. Retrieved from https://archive.interconf.center/index.php/conference-proceeding/article/view/2101. ...; Created on 28 June 2024
12. Designing the functional surfaces of camshaft cams of internal combustion engines: (Content №3 2024); ... Expanding Assembled Camshafts Using BP Neural Network and Failure Tree Theory. Metals, 12, 1639. https://doi.org/10.3390/met12101639. 8. Panchenko, A., Voloshina, A., Boltianska, N., Pashchenko, V., ...; Created on 28 June 2024
13. Express bus mode as an alternative way of improving the environmental safety of cities: (Content №2 2024); ... 77, 21-36. https://doi.org/10.1016/j.trd.2019.10.004. 9. Kim, S., & Kim, J. (2023). Assessing fuel economy and NOx emissions of a hydrogen engine bus using neural network algorithms for urban mass ...; Created on 01 May 2024
14. Heuristic control of power consumption by up to 1000 V electrical loads at mining enterprises: (Content №1 2024); ... 24. Matallanas, E., Castillo-Cagigal, M., Gutiérrez, A., Monasterio-Huelin, F., Caamaño-Martín, E., Masa, D., & Jiménez-Leube, J. (2012). Neural network controller for Active Demand-Side Management ...; Created on 29 February 2024
15. Justification of geodetic monitoring methodology of the retaining walls on the example of the embankment in Kremenchuk: (Content №1 2024); ... Application of the neural networks method in geodetic monitoring of engineering structures. Journal of Kryvyi Rih National University, 51, 8-16. 15. Khailak, A. M. (2016). The using of cluster analysis ...; Created on 29 February 2024
16. Peculiarities of truck transportation in wartime conditions: (Content №6 2023); ... Prohoniuk, I. V. (2018). Methodology of transport and logistics enterprises strategy development modeling on the basis of the neural networks. Collection of scientific papers of the DNURT named after Academician ...; Created on 23 December 2023
17. Automated building damage detection on digital imagery using machine learning: (Content №6 2023); ... aerial images and neural network. Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018). https://doi.org/10.1117/12.2502905. 9. Zhang, X., Cui, J., Wang, W., & ...; Created on 23 December 2023
18. Analysis and prediction of surface settlements during the digging of underground mining works (Algeria): (Content №6 2023); ... J. (2022). Prediction of Undrained Shear Strength by the GMDH-Type Neural Network Using SPT-Value and Soil Physical Properties. Materials, 15(18), 6385. https://doi.org/10.3390/ma15186385. 11. Karasev, ...; Created on 23 December 2023
19. Data analysis solutions to improve blasting efficiency in mining: (Content №6 2023); ... software and an artificial neural network model are used. A new data analysis algorithm is established to determine the optimal explosion delay time value. Practical value. A simple and reasonable-cost ...; Created on 23 December 2023
20. Analysis of the input material flow of the transport conveyor: (Content №5 2023); ... material. The developed generators can be used both for validating existing belt speed control systems and creating new control systems based on neural networks. This opens perspectives for the design ...; Created on 27 October 2023

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