Development of an Educational Intelligent System to Detect Particles Suitable for 3D-Printing
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53488-1_10
Reference12 articles.
1. Farahov, R., Burnashev, R., Grigoriev, R., Nasibullin, I., Bolsunovskaya, M., Enikeev, A.: Designing an expert system for detecting polymer particles in SLS 3D printing. In: IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials (EDM), pp. 555–559 (2022). https://doi.org/10.1109/EDM55285.2022.9855038
2. Burnashev, R.A., Enikeev, I.A., Enikeev, A.I.: Design and implementation of integrated development environment for building rule-based expert systems. In: International Multi-conference on Industrial Engineering and Modern Technologies (FarEastCon), pp. 1–4 (2020). https://doi.org/10.1109/FarEastCon50210.2020.9271143
3. Raikhlin, V.A., Gibadullin, R.F., Vershinin, I.S.: Is it possible to reduce the sizes of stegomessages in associative steganography? Lobachevskii J. Math. 43, 455–462 (2022). https://doi.org/10.1134/S1995080222050201
4. Rakhmatullin, A.K., Gibadullin, R.F.: Synthesis and analysis of elementary algorithms for a differential neural computer. Lobachevskii J. Math. 43, 473–483 (2022). https://doi.org/10.1134/S1995080222050225
5. Cherny, S.N., Gibadullin, R. F.: The recognition of handwritten digits using neural network technology. In: 2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), pp. 965–970 (2022). https://doi.org/10.1109/ICIEAM54945.2022.9787104
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