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1. Data-driven LSTM-based control to replace PID for unknown-model electric motor systems: (Content №2 2026); ... Purpose. To develop and validate a data-driven control strategy that replaces the conventional proportional–integral–derivative (PID) controller with a long short-term memory (LSTM) neural network for ...; Created on 25 April 2026
2. Software-based evaluation of pseudorandom frequency-hopping for wireless infocommunication cybersecurity: (Content №2 2026); ... Frequency-Hopping Spread Spectrum Signals Based on Task-Specific Information and Deep Neural Networks. Entropy, 25(1), 11. https://doi.org/10.3390/e25010011 25. Laktionov, I. S., Hnatushenko, V. ...; Created on 25 April 2026
3. Methodology for assessing the condition of power plant units using digital twin models: (Content №2 2026); ... J., Shi, X., Xiao, S., Cheng, X., Barlet-Ros, P., & Cabellos-Aparicio, A. (2022). Building a digital twin for network optimization using Graph Neural Networks. Computer Networks, 217, 109329. https://doi.org/10.1016/j.comnet.2022.109329 ...; Created on 25 April 2026
4. Model-based predictive control of the well drilling process: (Content №2 2026); ... Y., Purwanto, A., & Bits, S. (2012). Artificial Neural Network Drilling Parame-ter Optimization System Improves ROP by Predicting/Managing Bit Wear. Proceedings of the SPE Intelligent Energy International, ...; Created on 25 April 2026
5. GIS-based assessment of fire impact on the landscapes of the Kherson Region: (Content №1 2026); ... of fire and burned area. Remote Sensing, 14(3), 657. https://doi.org/10.3390/rs14030657 17. Kumar, N., & Kumar, A. (2020). Australian bushfire detection using machine learning and neural networks. ...; Created on 27 February 2026
6. Substantiation of self-organization approaches in information networks to strengthen cyber resilience: (Content №1 2026); ... based on the application of route optimization algorithms (Dijkstra, Bellman-Ford), Markov process theory, machine learning tools (SVM, neural networks), as well as entropic analysis and asymmetric encryption ...; Created on 27 February 2026
7. Neural network method for invariant recognition of vehicles in aerospace images: (Content №1 2026); ... This work proposes to develop a neural network method for invariant recognition of vehicles in high spatial resolution aerospace images using a Spatial Transformer Network. Methodology. To ensure invariance ...; Created on 27 February 2026
8. Development and evaluation of combined methods for cleaning paraffin wax deposits in pipelines oil and gas industry: (Content №1 2026); ... subsidence: Artificial neural network based approach. Mining of Mineral Deposits, 17(4), 45-52. https://doi.org/10.33271/mining17.04.045 10. Vynnykov, Y., Kharchenko, M., Manhura, S., Aniskin, A., ...; Created on 27 February 2026
9. Comprehensive analysis of aviation maintenance text reports using natural language processing methods: (Content №6 2025); ... neural network models, underscoring their robustness for analyzing short technical texts. Topic modeling successfully decomposed the largest defect category into five interpretable and semantically coherent ...; Created on 25 December 2025
10. Model-based designof a cone crusher adaptive control system: (Content №6 2025); ... 15. Olivier, L. E., Maritz, M. G., & Craig, I. K. (2020). Estimating ore particle size distribution using a deep convolutional neural network. IFAC-PapersOnLine, 53(2), 12038-12043. https://doi.org/10.1016/j.ifacol.2020.12.740 ...; Created on 25 December 2025
11. Designing passenger vehicle diesel engine cams with enhanced dynamic characteristics: (Content №6 2025); Authors: I. F. Alrefo*, orcid.org/0000-0002-5626-7121, Al-Balqa Applied University, Al Salt, Jordan, е-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. M. O. Rawashdeh, orcid.org/0000-0001-7241-5000, Al-Balqa Applied University, ...; Created on 25 December 2025
12. Determination of rational technological conditions for the use of pump dredger suction heads: (Content №6 2025); ... BP neural network model for predicting the production of a cutter suction dredger. 3 rd International Conference on Material, Mechanical and Manufacturing Engineering, (pp. 1221-1226). https://doi.org/10.1109/IC3ME.2015 ...; Created on 25 December 2025
13. Empirical comparison of five deep learning architectures for GNSS time-series data forecasting: (Content №5 2025); ... 6. Ige, A. O., & Sibiya, M. (2024). State-of-the-Art in 1D Convolutional Neural Networks: A Survey. IEEE Access, 12, 144082-144105. https://doi.org/10.1109/access.2024.3433513 7. Rizvi, S. M. H. ...; Created on 25 October 2025
14. Quantum machine learning for fusion of multichannel optical satellite images: (Content №5 2025); ... algorithm is applied to analyze the infrared channel. A deep convolutional neural network with residual dense blocks is used to extract spatial structural features from RGB channels. After integrating ...; Created on 25 October 2025
15. Probabilistic soil-rock degradation due to heavy metal existence in Tashan-Kaji, Toro LGA (Nigeria): (Content №4 2025); ... for foundation design with high reliability and safety: A geotechnical engineering perspective using artificial neural network and five metaheuristic algorithms. Reliability Engineering & System Safety, ...; Created on 26 August 2025
16. Determination of bronze БрА7К2О1,5Мц0,3 crystallization interval limit values and phase transformations: (Content №4 2025); ... 4. Farahany, S., Erfani, M., & Karamoozian, A.O. (2010). Artificial Neural Networks to Predict Liquidus Temperature in Hypoeutectic Al-Si Cast Alloys. Journal of Applied Sciences, 10(24), 3243-3249. ...; Created on 26 August 2025
17. Intelligent technology for land cover monitoring due to amber mining on optical satellite images: (Content №3 2025); ... neural networks (CNN + EfficientNet-Edge), and an algorithm for detecting changes over time based on the symmetric difference of changed pixels, which ensures high accuracy and efficiency in the process ...; Created on 25 June 2025
18. Discrete perceptron based on probabilistic estimates of shifted synaptic signals: (Content №2 2025); ... digital processing of discrete signals in the field of artificial neural networks, as well as the formulation of principles for the structural implementation of discrete perceptrons. Methodology. The ...; Created on 26 April 2025
19. Dialogue with generative artificial intelligence: is its “product” free from academic integrity violations?: (Content №2 2025); ... References. 1. Tchoketch-Kebir, H., & Madouri, A. (2024). Research leadership and high standards in economic forecasting: neural network models compared with etalon ARIMA models. Business Ethics ...; Created on 26 April 2025
20. 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

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