- 1. 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
- 2. 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
- 3. 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
- 4. Designing the predictive control of a drum dryer using multi-agent technology
- (Content №4 2024)
- ... Energy consumption control automation using Artificial Neural Networks and adaptive algorithms: Proposal of a new methodology and case study. Applied Energy, 165, 60-71. https://doi.org/10.1016/j.apenergy.2015.12.066. ...
- Created on 28 August 2024
- 5. 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
- 6. 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
- 7. 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
- 8. 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
- 9. Data analysis solutions to improve blasting efficiency in mining
- (Content №6 2023)
- ... https://doi.org/10.1109/RTEICT.2016.7807776. 20. Sayadi, A., Monjezi, M., Talebi, N., & Khandelwal, M. (2013). A comparative study on the application of various artificial neural networks to simultaneous ...
- Created on 23 December 2023
- 10. 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
- 11. Mineral resource assessment through geostatistical analysis in a phosphate deposit
- (Content №5 2023)
- ... 4. Jalloh, A. B., Kyuro, S., Jalloh, Y., & Barrie, A. K. (2016). Integrating artificial neural networks and geostatistics for optimum 3D geological block modeling in mineral reserve estimation: A ...
- Created on 27 October 2023
- 12. Principles of transport means maintenance optimization: equipment cost calculation
- (Content №5 2023)
- ... ship machinery system condition through analytical reliability tools and artificial neural networks. Ocean Engineering, 152, 404-415. https://doi.org/10.1016/j.oceaneng.2017.11.017. 5. Tian, X., Yan, ...
- Created on 27 October 2023
- 13. Investigation of combined ensemble methods for diagnostics of the quality of interaction of human-machine systems
- (Content №4 2023)
- ... Dunke, F., & Nickel, S. (2020). Neural networks for the metamodeling of simulation models with online decision making. Simulation Modelling Practice and Theory, 99, 102016. https://doi.org/10.1016/j.simpat.2019.102016. ...
- Created on 28 August 2023
- 14. Homomorphic filtering in digital multichannel image processing
- (Content №3 2023)
- ... Tarabalka, Y., Charpiat, G., & Alliez, P. (2017). Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2(55), 645-657. ...
- Created on 27 June 2023
- 15. Peculiarities of thermomodernization of the heating system of military infrastructure complexes
- (Content №2 2023)
- ... Benalcazar, P., & Kaminski, J. (2019). Short-term heat load forecasting in district heating systems using artificial neural networks. In IOP Conference Series: Earth and Environmental Science, 214, ...
- Created on 28 April 2023
- 16. Influence of misalignment of connection of electrical machine shafts on the nature of electric power of the induction motor
- (Content №6 2022)
- ... Di Barba, P., & Frosini, L. (2021). Convolutional neural networks for automated rolling bearing diagnostics in induction motors based on electromagnetic signals. Applied Sciences (Switzerland), 11(17), ...
- Created on 25 December 2022
- 17. The depiction of cybercrime victims using data mining techniques
- (Content №5 2022)
- ... A., Datsenko, S., Gorbenko, Y., Chupilko, T., Korneyev, M., & Klym, V. (2021). Experimental researches of biometric authentication using convolutional neural networks and histograms of oriented graphs. ...
- Created on 30 October 2022
- 18. A new approach on AI application for grounding resistor prediction in underground mines of Vietnam
- (Content №5 2022)
- ... 16. Asimakopoulou, F.E., Tsekouras, G.J., Gonos, I.F., & Stathopulos,I.A. (2013). Estimation of seasonal variation of ground resistance using artificial neural networks. Electric Power Systems ...
- Created on 30 October 2022
- 19. Oil and gas bearing potential of crystalline basement in Dnieper-Donets Basin – unbiased view
- (Content №3 2022)
- ... https://doi.org/10.26565/2410-7360-2021-54-03. 16. Karpenko, O. (2018). Neural networks technologies in oil and gas well logging.Conference Proceedings,17th International Conference on Geoinformatics ...
- Created on 29 June 2022
- 20. Non-relational approach to developing knowledge bases of expert system prototype
- (Content №2 2022)
- ... (2018). Fuzzy neural networks to create an expert system for detecting attacks by SQL Injection. The International Journal of Forensic Computer Science, 13(1), 8-21. https://doi.org/10.5769/J201801001. ...
- Created on 30 April 2022