- 1. 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
- 2. 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
- 3. 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
- 4. 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
- 5. 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
- 6. Shaping sustainable strategies of freight forwarding companies in the environment of the road transport market
- (Content №5 2023)
- ... K., Nizamis, A., Ioannidis, Dimosthenis K., & Tzovaras, D. (2023). Utilizing machine learning on freight transportation and logistics applications: A review. ICT Express, 9(3), 284-295. https://doi.org/10.1016/j.icte.2022.02.001. ...
- Created on 27 October 2023
- 7. Mineral resource assessment through geostatistical analysis in a phosphate deposit
- (Content №5 2023)
- ... models for the studied variables. The model selection is done by applying a cross-validation procedure leave-one-out (LOOCV). LOOCV is a resampling technique used in statistical analysis and machine learning ...
- Created on 27 October 2023
- 8. Investigation of combined ensemble methods for diagnostics of the quality of interaction of human-machine systems
- (Content №4 2023)
- ... 3. Belitz, K., & Stackelberg, P. E. (2021). Evaluation of six methods for correcting bias in estimates from ensemble tree machine learning regression models. Environmental Modelling & Software, ...
- Created on 28 August 2023
- 9. Improving a process of managing dynamic occupational risks
- (Content №4 2023)
- ... https://doi.org/10.1016/j.ssci.2022.106050. 16. Paltrinieri, N., Comfort, L., & Reniers, G. (2019). Learning about risk: Machine learning for risk assessment. Safety Science, 118, 475-486. https://doi.org/10.1016/j.ssci.2019.06.001. ...
- Created on 28 August 2023
- 10. Evaluation and control of data relevance in information systems of the transport industry management
- (Content №3 2023)
- ... M. L., & Rohde, W. (2021). Digital Twin Framework for Machine Learning-Enabled Integrated Production and Logistics Processes, (pp. 218-227). In Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, ...
- Created on 27 June 2023
- 11. Influence of Industry 4.0 on strategies of companies entering the global market of data integration services
- (Content №2 2023)
- Authors: T.Tsygankova, orcid.org/0000-0001-6177-2555, Kyiv National Economic University named after Vadym Hetman, Kyiv, Ukraine O.Yatsenko*, orcid.org/0000-0003-4399-2217, Kyiv National Economic University ...
- Created on 28 April 2023
- 12. Peculiarities of thermomodernization of the heating system of military infrastructure complexes
- (Content №2 2023)
- ... A., Moustakidis, S., & Karcanias, N. (2021). Machine learning applied on the district heating and cooling sector: a review. Energy Systems, 1, 1-30. https://doi.org/10.1007/s12667-020-00405-9. 15. ...
- Created on 28 April 2023
- 13. Predicting underground mining impact on the earth’s surface
- (Content №1 2023)
- ... O. Y., Ponomareva, M. V., & Ponomareva, E. V. (2022). Estimation of clay swelling properties in karaganda territory using machine learning methods. Bulletin of the Tomsk Polytechnic University, Geo ...
- Created on 25 February 2023
- 14. Influence of misalignment of connection of electrical machine shafts on the nature of electric power of the induction motor
- (Content №6 2022)
- ... storage system using fuzzy logic controllers. AI and Machine Learning Paradigms for Health Monitoring System, 86, 339-349. https://doi.org/10.1007/978-981-33-4412-9_20. 14. Shreyner, R., Kalygin, A., & ...
- Created on 25 December 2022
- 15. The depiction of cybercrime victims using data mining techniques
- (Content №5 2022)
- ... A machine learning-based FinTech cyber threat attribution framework using high-level indicators of compromise. Future Generation Computer Systems, 96. https://doi.org/10.1016/j.future.2019.02.013. 9. Kuznetsov, ...
- Created on 30 October 2022
- 16. Accounting and analytical aspects of functioning of enterprises in the context of the introduction of an artificial intelligence system
- (Content №4 2022)
- ... (2020). Current Machine Learning Applications in Accounting and Auditing. Pressacademia, 12, 1-7. https://doi.org/10.17261/Pressacademia.2020.1337. 11. Zhang, Y., Xiong, F., Xie, Y., Fan, X., & Gu, ...
- Created on 29 August 2022
- 17. Classification of heating conditions in terms of smart control of indoor heating with the use of uncontrolled electric heaters
- (Content №4 2022)
- ... M., Rodrguez, L., Snchez-Cervantes, J., & Olmedo-Aguirre, J. (2020). HEMS-IoT: A Big Data and Machine Learning-Based Smart Home System for Energy Saving. Energies, 13. https://doi.org/10.3390/en13051097. ...
- Created on 29 August 2022
- 18. Automation of ore quality management in quarries
- (Content №4 2022)
- Authors: K.Zhussupova, orcid.org/0000-0001-8510-2361, Sh.Ualikhanov Kokshetau University, Kokshetau, the Republic of Kazakhstan, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. Zh.Seitov, orcid.org/0000-0001-8686-7606, ...
- Created on 29 August 2022
- 19. Spatial control over ultrasonic cleaning of mining equipment using a phased array technology
- (Content №2 2022)
- ... 01005. https://doi.org/10.1051/e3sconf/202020101005. 15. Simeone, A., Woolley, E., Escrig, J., & Watson, N.J. (2020). Intelligent Industrial Cleaning: A Multi-Sensor Approach Utilising Machine Learning-Based ...
- Created on 30 April 2022
- 20. Methodological approach to economic analysis and control of enterprises under conditions of economic systems transformation
- (Content №4 2021)
- ... 3014-3017. 14. Ivashchenko, A., & Polishchuk, Y. (2018). Machine learning in estimating of SMEs investment potential in Ukraine. CEUR Workshop Proceedings, 2105, 77-93. 15. Shkarlet, S., Kholiavko, ...
- Created on 23 August 2021