DEEP NEURAL NETWORKS FOR EMOTION RECOGNITION Article Shchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Ayrjan E.A., Demidova A.V. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 12563 LNCS. 2020. P. 365-379
STRUCTURAL APPROACH TO THE DEEP LEARNING METHOD Article Sevastianov L.A., Sevastianov A.L., Ayrjan E.A., Korolkova A.V., Kulyabov D.S., Pokorny I. CEUR Workshop Proceedings. CEUR-WS. Vol. 2507. 2019. P. 272-275
SIMULATION OF THE STATIC ELECTRIC FIELD EFFECT ON THE DIRECTOR ORIENTATION OF NEMATIC LIQUID CRYSTAL IN THE TRANSITION STATE Article Ayriyan A.A., Ayrjan E.A., Dencheva-Zarkova M., Egorov A.A., Hadjichristov G.B., Marinov Y.G., Maslyanitsyn I.A., Petrov A.G., Popova L., Shigorin V.D., Torgova S.I. Physics of Wave Phenomena. Allerton Press Incorporation. Vol. 27. 2019. P. 67-72
SIMULATION OF THE STATIC ELECTRIC FIELD EffECT ON THE DIRECTOR ORIENTATION OF NEMATIC LIQUID CRYSTAL IN THE TRANSITION STATE Article Ayriyan A.A., Ayrjan E.A., Dencheva-Zarkova M., Egorov A.A., Hadjichristov G.B., Marinov Y.G., Maslyanitsyn I.A., Petrov A.G., Popova L., Shigorin V.D., Torgova S.I. Physics of Wave Phenomena. Allerton Press Incorporation. Vol. 27. 2019. P. 67-72
ON DIFFERENCE SCHEMES APPROXIMATING FIRST-ORDER DIFFERENTIAL EQUATIONS AND DEFINING A PROJECTIVE CORRESPONDENCE BETWEEN LAYERS Article Ayrjan E.A., Malykh M.D., Sevastianov L.A. Journal of Mathematical Sciences (United States). Springer New York LLC. 2019.
NUMERICAL MODELING OF THE STATIC ELECTRIC FIELD EFFECT ON THE DIRECTOR OF THE NEMATIC LIQUID CRYSTAL DIRECTOR Article Ayriyan A.S., Ayrjan E.A., Egorov A.A., Maslyanitsyn I.A., Shigorin V.D. Mathematical Models and Computer Simulations. Pleiades Publishing. Vol. 10. 2018. P. 714-720
NUMERIC MODELING OF STATIC ELECTRIC FIELD EFFECT ON NEMATIC LIQUID CRYSTAL DIRECTOR ORIENTATION Article Ayriyan A.S., Ayrjan E.A., Egorov A.A., Maslyanitsyn I.A., Shigorin V.D. Математическое моделирование. Федеральное государственное бюджетное учреждение "Российская академия наук". Vol. 30. 2018. P. 97-107