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1. Talent management: a strategic priority for developing the enterprise’s intellectual potential in digitalization: (Content №1 2025); ... control of mobility changes of young talents in the field of science and technology based on convolutional neural network. Heliyon. E-journal, 10(4), 1-15. https://doi.org/10.1016/j.heliyon.2024.e25950. ...; Created on 25 February 2025
2. FoSDeT: a new hybrid machine learning model for accurate and fast detection of IoT botnet: (Content №1 2025); ... Chiba, Z., Abghour, N., Moussaid, K., El omri, A., & Rida, M. (2019). Intelligent approach to build a deep neural network based IDS for cloud environment using combination of machine learning algorithms. ...; Created on 25 February 2025
3. Technology for determining weight coefficients of components of information security: (Content №1 2025); ... 15. Yuan, Q., Pi, Y., Kou, L., Zhang, F., & Ye, B. (2022). Quantitative Method for Security Situation of the Power Information Network Based on the Evolutionary Neural Network. Frontiers in Energy ...; Created on 25 February 2025
4. Research on the effectiveness of using LSTM architecture in modeling the cognitive process of recognition: (Content №1 2025); ... using neural networks. Purpose. Creation and analysis of the bidirectional LSTM neural network architecture for solving the WSD problem in the Ukrainian language. Methodology. One of the modern approaches ...; Created on 25 February 2025
5. Automatic compensation of the mill roll eccentricity in terms of limited speed of hydraulic compression devices: (Content №1 2025); ... based on bp neural network with improved pso. In 2018 Chinese Automation Congress (CAC), IEEE. https://doi.org/10.1109/CAC.2018.8623139. 11. Wehr, M., Schätzler, S., Abel, D., & Hirt, G. (2020). ...; Created on 25 February 2025
6. Impact of power electronics devices on leakage current in mine electrical systems: a case study in Vietnam: (Content №1 2025); ... Distribution Systems Based on SSA-BP Neural Network. Applied Sciences, 13(16), 9273. https://doi.org/10.3390/app13169273. 19. Ualikhan, I., & Josif, B. (2015). Development of control algorithm for ...; Created on 25 February 2025
7. Automated student knowledge testing and control system ZELIS: (Content №6 2024); ... 11. Li, J., & Liu, Z. (2019). Multispectral transforms using convolution neural networks for remote sensing multispectral image compression. Remote Sensing, 11, 759-779. https://doi.org/10.3390/rs11070759. ...; Created on 28 December 2024
8. Enhancing the protection of automated ground robotic platforms in the conditions of radio electronic warfare: (Content №6 2024); ... I., & Nam, B.-G. (2024). Enhancing Computation-Efficiency of Deep Neural Network Processing on Edge Devices through Serial/Parallel Systolic Computing. Machine Learning and Knowledge Extraction, 6(3), ...; Created on 28 December 2024
9. Simulation of the operation modes of the catodic protection complex of pipelines in the approach of overhead power lines: (Content №6 2024); ... neural networks and artificial intelligence. Rudarsko-Geološko-Naftni Zbornik, 38(3), 105-117. https://doi.org/10.17794/rgn.2023.3.9. 20. Dusza, D., & Kosobudzki, G. (2018). Reactive power measurements ...; Created on 28 December 2024
10. 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
11. 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
12. 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
13. 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
14. 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
15. 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
16. 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
17. 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
18. 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
19. 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
20. 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

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