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Publications in Math-Net.Ru |
Citations |
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2023 |
1. |
A. N. Ruchay, “Prediction model of live weight using deep regression RGB-D images”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 12:1 (2023), 5–27 |
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2022 |
2. |
K. A. Dorofeev, A. N. Ruchay, “Combined 2D/3D approach for improving the accuracy of face recognition systems using deep learning”, Chelyab. Fiz.-Mat. Zh., 7:4 (2022), 490–504 |
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2021 |
3. |
E. V. Fel'dman, A. N. Ruchay, V. K. Matveeva, V. D. Samsonova, “Bitcoin abnormal transaction detection model based on machine learning”, Chelyab. Fiz.-Mat. Zh., 6:1 (2021), 119–132 |
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2019 |
4. |
A. N. Ruchay, “A regression testing with semi-automatic test selection for auditing of IMS database”, Chelyab. Fiz.-Mat. Zh., 4:2 (2019), 241–249 |
5. |
A. N. Ruchay, K. A. Dorofeev, V. Kalschikov, “A novel switching bilateral filtering algorithm for depth map”, Computer Optics, 43:6 (2019), 1001–1007 |
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2018 |
6. |
A. N. Ruchay, K. A. Dorofeev, V. I. Kolpakov, “Fusion of information from multiple Kinect sensors for 3D object reconstruction”, Computer Optics, 42:5 (2018), 898–903 |
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2016 |
7. |
A. N. Ruchay, V. V. Kuznetsov, A. V. Mel'nikov, A. V. Vokhmintcev, “Developing ñentralized system election multibiometric authentication”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2016, no. 1, 106–116 |
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2010 |
8. |
A. N. Ruchay, “The formant method of text dependent speaker verification”, Vestnik Chelyabinsk. Gos. Univ., 2010, no. 12, 121–131 |
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Organisations |
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