- 21. The depiction of cybercrime victims using data mining techniques
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- ... 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
- 22. Accounting and analytical aspects of functioning of enterprises in the context of the introduction of an artificial intelligence system
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- ... (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
- 23. Classification of heating conditions in terms of smart control of indoor heating with the use of uncontrolled electric heaters
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- ... 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
- 24. 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
- 25. Spatial control over ultrasonic cleaning of mining equipment using a phased array technology
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- ... 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
- 26. Methodological approach to economic analysis and control of enterprises under conditions of economic systems transformation
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- ... 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
- 27. Evaluation of ultrasonic cleaning process
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- ... A., Salmi, A., Rauhala, T., Hggstrm, E., & Myllymki, P. (2018). Detecting industrial fouling by monotonicity during ultrasonic cleaning. Aalborg: IEEE 28th International Workshop on Machine Learning ...
- Created on 23 June 2021
- 28. The synthesis of strategies for the efficient performance of sophisticated technological complexes based on the cognitive simulation modelling
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- ... (2019). The Use of Machine Learning in Situational Management in Relation to the Tasks of the Power Industry. EPJ Web of Conferences, 217, 01010. https://doi.org/10.1051/epjconf/201921701010. 14. Govorov, ...
- Created on 29 April 2021
- 29. Segmentation of heat energy consumers based on data on daily power consumption
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- ... Machine Learning. https://doi.org/10.5772/intechopen.85447. 17. Koren, O., Hallin, C., Perel, N., & Bendet, D. (2019). Enhancement of the K-Means Algorithm for Mixed Data in Big Data Platforms. Proceedings ...
- Created on 29 April 2021
- 30. Assessment of geotechnical properties of Draa El Mizane highway tunnel (Algeria)
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- ... 9. Ren, Q., Wang, G., Li, M., & Han, S. (2019). Prediction of rock compressive strength using machine learning algorithms based on spectrum analysis of geological hammer. Geotechnical and Geological ...
- Created on 22 December 2020
- 31. Marketing mechanisms for improving the efficiency of industrial enterprises
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- ... and machine learning-based approach. Technological Forecasting and Social Change, 86, 49-64. 3. Korzh, M., & Zhukov, S. (2013). Psychological aspects of change management in the industrial marketing. ...
- Created on 10 March 2020
- 32. LSTM networks for anaerobic digester control
- (Information Technologies, Systems Analysis and Administration)
- ... in Machine Learning, 8(5-6), 359-483. 13. Van Hasselt, H., Guez, A., & Silver, D. (2016). Deep Reinforcement Learning with Double Q-Learning. AAAI, 2, p. 5. 14. Mnih, V., Badia, ...
- Created on 26 October 2019
- 33. Fast time sequence data mining algorithm based on grey system theory
- (Information technologies, systems analysis and administration)
- ... Low, Y., Bickson, D., Gonzalez, J., Guestrin, C., Kyrola, A. and Joseph M. Hellerstein, 2012. Distributed GraphLab: a framework for machine learning and data mining in the cloud’ Proceedings of the VLDB ...
- Created on 19 January 2017
- 34. FINANCIAL STATEMENT FRAUD DETECTION THROUGH MULTIPLE INSTANCE LEARNING
- (Economy and management)
- ... statement fraud detection (FSFD) based on machine learning is a very important problem for avoiding financial risk and maintaining an orderly market. The purpose of this research was to develop a multiple ...
- Created on 04 August 2016
- 35. Improved K-means algorithm automatix acquisiotion of initial clustering center
- (Information technologies, systems analysis and administration)
- ... machine learning repository.Availableat: <http:// archive.ics.uci.edu/ml> (2012-05-20) ...
- Created on 23 June 2016