1. Harnessing Ensemble Machine Learning Models for Timely Diagnosis of Breast Cancer Metastasis: A Case Study on CatBoost, XGBoost, and LGBM

    Luu, M. S. K., Banerjee, S., Pavlovskiy, E. N. & Tuchinov, B. N., 2024, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, p. 2320-2325 6 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  2. Hierarchical Classification of Scientific Articles Using Deep Learning (Using the UDC Hierarchy As an Example)

    Мамедов, В. Ю., Ковалевский, Д. А., Морозов, Д. А., Столяров, С. С. & Оспичев, С. С., Dec 2025, In: Automatic Control and Computer Sciences. 59, 7, p. 1181-1192 12 p.

    Research output: Contribution to journal › Article › peer-review

  3. High-speed droplet impact on solid surfaces: review on the prospects of modeling fluid flow

    Vozhakov, I. S., Misyura, S. Y., Morozov, V. S., Piskunov, M. V., Piskunova, A. E., Orlova, E. G. & Mullyadzhanov, R. I., 3 Mar 2025, In: Experiments in Fluids. 66, 3, 65.

    Research output: Contribution to journal › Review article › peer-review

  4. Housing and husbandry factors affecting zebrafish novel tank test responses: a global multi-laboratory study

    Hillman, C., Fontana, B. D., Amstislavskaya, T. G., Gorbunova, M. A., Altenhofen, S., Barthelson, K., Bastos, L. M., Borba, J. V., Bonan, C. D., Brennan, C. H., Farías-Cea, A., Cooper, A., Corcoran, J., Dondossola, E. R., Martinez-Duran, L. M., Gallas-Lopes, M., Galstyan, D. S., Garcia, E. O., Gerken, E., Hindges, R., & 32 othersKenney, J. W., Kleshchev, M. A., Kolesnikova, T. O., Leggieri, A., Khatsko, S. L., Lardelli, M., Lodetti, G., Lombardelli, G., Luchiari, A. C., Portela, S. M., Medan, V., Moutinho, L. M., Nekhoroshev, E. V., Petersen, B. D., Petrunich-Rutherford, M. L., Piato, A., Porfiri, M., Read, E., Resmim, C. M., Rico, E. P., Rosemberg, D. B., de Abreu, M. S., Salazar, C. A., Stahlhofer-Buss, T., Teixeira, J. R., Valentim, A. M., Zhdanov, A. V., Iturriaga-Vásquez, P., Wang, X., Wong, R. Y., Kalueff, A. V. & Parker, M. O., 27 May 2025, In: Lab Animal. 54, 6, p. 156-164 9 p., 15081.

    Research output: Contribution to journal › Article › peer-review

  5. Impact of lanthanum doping on the electronic structure of oxygen vacancies in hafnium oxide

    Perevalov, T. V. & Islamov, D. R., 30 Jan 2024, In: Computational Materials Science. 233, 5 p., 112708.

    Research output: Contribution to journal › Article › peer-review

  6. In-depth insights into the evolution of NiFeCrCu multicomponent alloy in the course of the catalytic growth of carbon nanofibers

    Bauman, Y. I., Komarovskikh, A. Y., Kenzhin, R. M., Volodin, A. M., Pervikov, A. V., Pustovalov, A. V., Shubin, Y. V., Plyusnin, P. E., Maksimova, T. A., Shelepova, E. V., Mishakov, I. V. & Vedyagin, A. A., 1 Nov 2025, In: Solid State Sciences. 169, p. 108086

    Research output: Contribution to journal › Article › peer-review

  7. Influence of Phase Cross-Modulation Effects on the Narrowband Lasing Mode of a Random Fiber Laser

    Gorbunov, O. A., Vatnik, I. D. & Churkin, D. V., 23 Jun 2025, In: Optoelectronics, Instrumentation and Data Processing. 61, 1, p. 19-25 7 p.

    Research output: Contribution to journal › Article › peer-review

  8. In situ reflection electron microscopy for the surface processes analysis during sublimation and epitaxial growth of layered metal chalcogenides

    Ponomarev, S. A., Rogilo, D. I., Zakhozhev, K. E., Nasimov, D. A., Kurus, N. N., Gutakovskii, A. K., Kokh, K. A., Milekhin, A. G., Sheglov, D. V. & Latyshev, A. V., 2024, In: Modern Electronic Materials. 10, 4, p. 251-261 11 p.

    Research output: Contribution to journal › Article › peer-review

  9. Integration of Logical and Neural Network Methods for Creation of Digital Twins of Regulations

    Palchunov, D., Nemtsev, I., Yakobson, A. & Shelkovnikova, S., 18 Nov 2025, 2025 IEEE XVII International Scientific and Technical Conference on Actual Problems of Electronic Instrument Engineering (APEIE). Institute of Electrical and Electronics Engineers Inc., p. 1-6 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  10. Intelligent Feature Extraction and Event Classification in Distributed Acoustic Sensing Using Wavelet Packet Decomposition

    Kozmin, A., Borozdin, P., Chernenko, A., Gostilovich, S., Kalashev, O. & Redyuk, A., 11 Nov 2025, In: Technologies. 13, 11, 21 p., 514.

    Research output: Contribution to journal › Article › peer-review

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