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Issue DateTitleAuthor(s)
2016Comparative effectiveness of infrared heat sources for mounting and dismounting electronic modules-
2013Comparative study of initial stages of copper immersion deposition on bulk and porous siliconPrischepa, S. L.; Bandarenka, H. V.; Fittipaldi, R.; Vecchione, A.; Nenzi, P.; Balucani, M.; Bondarenko, V. P.
2021Comparison of Deep Learning Preprocessing Algorithms of Nuclei Segmentation on Fluorescence Immunohistology Images of Cancer CellsXu Silun; Skakun, V.
2021Comparison of hybrid approaches in classification using decision trees and neural networksFomchenko, A.
2014Comparison of nehalem and ivy bridge TLB architecturesAskari, M.; Ivanov, N. N.; Аскари, М.; Иванов, Н. Н.
2023Comparison of the Mechanical Properties and Corrosion Resistance of the Cr-CrN, Ti-TiN, Zr-ZrN, and Mo-MoN CoatingsTao, H.; Zhylinski, V.; Vereschaka, A.; Chayeuski, V.; Yuanming, H.; Milovich, F.; Sotova, C.; Seleznev, A.; Salychits, O.
2019Complex Analysis of Human Movements based on the Identification of Amplitude-Time Characteristics of Electromyographic PatternsDavydova, N. S.; Davydov, M. V.; Osipov, A. N.; Mezhennaya, M. M.
2021Complex Human-Machine Petroleum SystemImprove by Causation ApproachBezrodny, A. A.; Korolenok, A. M.; Rezchikov, A. F.
2020Complex magnetic ordering in nanoporous [Co/Pd]5-IrMn multilayers with perpendicular magnetic anisotropy and its impact on magnetization reversal and magnetoresistanceWu, Wen-Bin; Kasiuk, J.; Nguyen, Thi Ngoc Anh; Fedotova, J.; Przewoźnik, J.; Kapusta, C.; Kupreeva, O. V.; Lazarouk, S. K.; Do, Khanh Tung; Nguyen, Thanh Huong; Vu, Hong Ky; Vu, Dinh Lam; Akerman, J.
2023Composable business in digital transformationArkhipova, L. I.
2023Composition-Adjustable Silicon-Germanium Alloy Films based on Porous Silicon MatricesGrevtsov, N.; Chubenko, E.; Bondarenko, V.; Gavrilin, I.; Dronov, A.; Gavrilov, S.; Rymski, G.; Yanushkevich, K.; Goroshko, D.; Argunov, E.
2022Comprehensive automated system for studying the theory of electrical circuitsGudkov, A.; Shylin, L.
2022Comprehensive library of reusable semantically compatible components of next-generation intelligent computer systemsOrlov, M.
2023Compressing a convolution neural network based on quantizationPertsau, D.; Lukashevich, M.; Kupryianava, D.
2023Compressing a convolution neural network based on quantizationPertsau, D.; Lukashevich, M.; Kupryianava, D.
2023Compressing the Geospatial Data of Testing GroundsMitsiukhin, A.
2020Computationally Effective Wideband Worst Case Model of Electromagnetic Wave Penetration between Compartments inside EnclosureTsyanenka, D. A.; Sinkevich, E. V.; Tamashevich, Y.; Mordachev, V. I.; Arlou, Y. Y.; Xie, Ma
2015Computationally-effective wide-band worst-case model of transmission line radiationTsyanenka, D. A.; Arlou, Y. Y.; Sinkevich, E. V.; Maly, S. V.
2015Computationally-effective worst-case estimation of currents in transmission lines for EMC diagnostics of big systemsTsyanenka, D. A.; Sinkevich, E. V.; Arlou, Y. Y.; Maly, S. V.
2020Computationaly Efficient Wideband Worst Case Model of Plane Electromagnetic Wave Diffraction by Conductive System HullTsyanenka, D. A.; Shakinka, I.; Arlou, Y. Y.; Mordachev, V. I.; Sinkevich, E. V.; Guo, W.Q.