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Issue DateTitleAuthor(s)
2020Deep learning approaches to biomedical image segmentationKurbanov, S. K.; Beknazarova, S. S.
2023Deep learning based approach for vertebrae detection on spine X-RAYCharapennikau, R. M.
2022Deep learning for depression detectionLi Boyi; Zhang Hengrui
2023Deep learning framework for activity recognition based on smartphone accleration data, convolutional neural network and long short time memoryYang Zixiao
2016Deep Learning in Big Image Data: Histology IMage Classification for Breast Cancer DiagnosisKovalev, V.; Kalinovsky, A. A.; Liauchuk, V.
2017Deep learning in big medical image dataKovalev, V.; Liauchuk, V.; Kalinovsky, A. A.; Snezhko, E.; Tuzikov, A.
2019Deep Learning in Processing Medical Images and Calculating the Orbit VolumeAsipovich, V. S.; Dudich, O. N.; Krasilnikova, V. L.; Karakulko, A. A.; Radnionok, A. L.; Moroz, P. A.; Nikolaev, A. Y.; Konovalova, M. A.; Yashin, K. D.
2022Deep neural networks application in next-generation intelligent computer systemsKroshchanka, A.
2013Deep submicron radiation hardened static random-access memory IPKostrov, A. I.
2017Defect formation in supported graphene irradiated by accelerated xenon ionsKolesov, E. A.; Tivanov, M. S.; Korolik, O. V.; Apel, P. Yu.; Skuratov, V. A.; Saad, A.; Komissarov, I. V.
2020Defense tools in corporate information system, cloud computing and BlockchainAl-Musawi Hani, H. J.; Al-Attar Abdulraouf, Z. R.; Khudier, R. K.
2018Defining of the Covalence Parameters in Cs2NaYCl6:Eu3+ and Cs2NaEuCl6 by the Optical SpectraFomicheva, L. A.; Kornienko, A. A.; Dunina, E. V.
2007Deformations of structures, embedding of a riemannian manifold in a kaёhlerian one and geometric antigravitationErmolitski, A. A.
2020Degree of phase transformations in the conditions of polythermal synthesis of SrBaFeMoO6–δKalanda, N. A.; Yarmolich, M. V.; Kutuzau, M.; Gurskii, A. L.; Maria do Rosario Teixeira Soares; Mindaugas Andrulevicius; Brigita Abakeviciene; Sigitas Tamulevicius
2021Delaunay variables in model problems of celestial mechanics and cosmodynamicsShatina, A.; Cheshkova, A.
2019Demand and requirements for industry 4.0 software solutionsFilatova, D.; El Nouty, C. H.
2021Density functional theory-based study of Cu2TiSnS4 and Cu2VSnS4 for photovoltaic applicationsKistanov, A. A.; Botella, R.; Korznikova, E.; Smirnov, A. G.; Zhuk, S. D.
2022Dental composites with strength after aging improved by using anodic nanoporous fillers: experimental results, modeling, and simulationsGhorbanhossaini, A.; Rafiee, R.; Pligovka, A.; Salerno, M.
2022Dental composites with strength after aging improved by using anodic nanoporous fillers: experimental results, modeling, and simulationsGhorbanhossaini, A.; Rafiee, R.; Pligovka, A.; Salerno, M.
2017Deploying microservicesPetrovich, A. S.