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1. Discrete perceptron based on probabilistic estimates of shifted synaptic signals: (Content №2 2025); ... Vibration, 7(3), 802-828. https://doi.org/10.3390/vibration7030043 3. Thaler, D., Elezaj, L., Bamer, F., & Markert, B. (2022). Training Data Selection for Machine Learning-Enhanced Monte Carlo Simulations ...; Created on 26 April 2025
2. Determination of the harmonic distortion value of vibroacoustic signals in the process of drilling operations: (Content №2 2025); ... Rekha, H. S., & Naik, B. (2023). Fuzzy C-Means Clustering: Advances and Challenges (Part II). In Rokach, L., Maimon, O., Shmueli, E. (Eds.) Machine Learning for Data Science Handbook. Springer, Cham. ...; Created on 26 April 2025
3. Investigation of the stress-strain state of mine shaft support under long-term operation: (Content №2 2025); ... 20. Huang, M. Q., Ninić, J., & Zhang, Q. B. (2021). BIM, machine learning and computer vision techniques in underground construction: Current status and future perspectives. Tunnelling and Underground ...; Created on 26 April 2025
4. FoSDeT: a new hybrid machine learning model for accurate and fast detection of IoT botnet: (Content №1 2025); ... - 109 https://doi.org/10.33271/nvngu/2025-1/104 Abstract: Purpose. This study is aimed at introducing a new hybrid machine learning model to enhance the accuracy and speed in detecting botnet attacks ...; Created on 25 February 2025
5. Technology for determining weight coefficients of components of information security: (Content №1 2025); ... Approach, (pp. 144-207). Chapter, Cambridge: Cambridge University Press. 29. Jagielski, M., Oprea, A., Biggio, B., Liu, C., Nita-Rotaru, C., & Li, B. (2018). Manipulating Machine Learning: Poisoning ...; Created on 25 February 2025
6. Research on the effectiveness of using LSTM architecture in modeling the cognitive process of recognition: (Content №1 2025); ... Large-Scale Machine Learning on Heterogeneous Distributed Systems. arXiv (Cornell University). https://doi.org/10.48550/arxiv.1603.04467. 22. Dozat, T. (2016). Incorporating Nesterov Momentum into Adam. ...; Created on 25 February 2025
7. 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
8. Model for optimal control of charge loading parameters of metal-reducing plants: (Content №6 2024); ... furnace parameters based on machine learning and genetic algorithm. Journal of Northeastern University Natural Science, 41(9), 1262-1267. https://doi.org/10.12068/j.issn.1005-3026.2020.09.008. 15. Li, ...; Created on 28 December 2024
9. Active power regulation in wind turbines: (Content №6 2024); ... & Mosavi, A. H. (2022). A machine learning approach for active/reactive power control of grid–connected doubly–fed induction generators. Ain Shams Engineering Journal, 13(101564). https://doi.org/10.1016/j.asej.2021.08.007. ...; Created on 28 December 2024
10. Analysis of mathematical methods for describing financial flows: dynamic modeling of an innovative company: (Content №5 2024); ... H., Creamer, G. G., & Rafizadeh, N. (2019). Machine learning in energy economics and finance: A review. Energy Economics, 81, 709-727. https://doi.org/10.1016/j.eneco.2019.05.006. 2. Pang, X., Zhou, ...; Created on 29 October 2024
11. Innovation and infrastructure: driving forces for entrepreneurship development and economic opportunities: (Content №5 2024); ... via the Sherwood principle and machine learning. Resources, Conservation and Recycling, 167, 105232. https://doi.org/10.1016/j.resconrec.2020.105232. 6. Tepliuk, M., Fomenko, B., Sahaidak, M., Petrishyna, ...; Created on 29 October 2024
12. Analysis of natural and man-made factors of landslide development in the Carpathian region using GIS: (Content №5 2024); ... 14. Arabameri, A., Chandra, Pal S., Rezaie, F., Chakrabortty, R., Saha, A., Blaschke, T., Di Napoli, M., …, & Ngo, T. (2021). Decision tree based ensemble machine learning approaches for landslide ...; Created on 29 October 2024
13. Research on stochastic properties of time series data on chemical analysis of cast iron: (Content №4 2024); ... of financial asset price forecasting models using machine learning methods and statistical analysis. UKRNOIVI. 13. Zamula, O. A. (2019). Optimization of discrete complex signal synthesis methods in modern ...; Created on 28 August 2024
14. Features of the assessment of occupational risks under hazardous working conditions: (Content №4 2024); ... Learning about risk: Machine learning for risk assessment. Safety Science, 118, 475-486. https://doi.org/10.1016/j.ssci.2019.06.001. 22. Bazaluk, O., Tsopa, V., Cheberiachko, S., Deryugin, O., Radchuk, ...; Created on 28 August 2024
15. Improvement of the method for optimization of predicting the efficiency of a robotic platform: (Content №3 2024); ... in regression models from machine learning. These acquired models are employed for predicting the efficiency of a specific configuration of a robotic platform designed to perform particular practical tasks. ...; Created on 28 June 2024
16. Drilling wells taking into account the dynamic properties of rocks: (Content №2 2024); ... 5. Hazbeh, O., Khezerloo-ye Aghdam, S., Ghorbani, H., Mohamadian, N., Ahmadi Alvar, M., & Moghadasi, J. (2020). Comparison of accuracy and computational performance between the machine learning algorithms ...; Created on 01 May 2024
17. Modeling the return on investment in human capital in the IT industry of Ukraine: (Content №1 2024); ... 437-461. https://doi.org/10.1287/isre.2020.0975. 16. Jaisawal, R. (2022). Machine Learning to Evaluate Important Human Capital (HC) Determinants Impacting IT Compensation. Ramanujan International Journal ...; Created on 29 February 2024
18. An overview of hydrogen production via reforming from natural gas: (Content №1 2024); ... on process modelling and machine learning within hydrogen production with carbon capture. Gas Science and Engineering, 118, 205104. https://doi.org/10.1016/j.jgsce.2023.205104. 60. Yu, X., Shen, Y., ...; Created on 29 February 2024
19. Automated building damage detection on digital imagery using machine learning: (Content №6 2023); ... 134 - 140 https://doi.org/10.33271/nvngu/2023-6/134 Abstract: Purpose. To develop an automated method based on machine learning for accurate detection of features of a damaged building on digital imagery. ...; Created on 23 December 2023
20. Analysis and prediction of surface settlements during the digging of underground mining works (Algeria): (Content №6 2023); ... 8. Mbarak, W. K., Cinicioglu, E. N., & Cinicioglu, O. (2020). SPT based determination of undrained shear strength: Regression models and machine learning. Frontiers of Structural and Civil Engineering, ...; Created on 23 December 2023

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