Y. Kenzhebek, T.S. Imankulov, D.Zh. Akhmed-Zaki
PREDICTION OF OIL PRODUCTION USING PHYSICS-INFORMED NEURAL NETWORKS
[2021] 45-50
Bauyrzhan Omarov, A. Serdaly, A. Ydyrys, Батырхан Омаров
INTRUSION DETECTION USING MINI-VGGNET-BASED CONVOLUTIONAL NEURAL NETWORK AND FEATURE REDUCTION
[2025]
K. Turganbay, S. Issabayeva, E. Tenizbaev, T. Zhukova, L. gnashova
FEATURES OF SPEAKER RECOGNITION THROUGH DEEP LEARNING OF NEURAL NETWORKS
[2024] 164-173
G.T. Balakayeva, D.K. Darkenbayev, D.S. Kulachar
DEVELOPMENT OF A DATA PROCESSING INFORMATION SYSTEM USING DATA MINING TECHNOLOGY
[2024] 114-122
Д.Ж. Satybaldina, K.A. Kalymova, D.M. Sydykov
APPLYING OF THE TRANSFER LEARNING TO CONVOLUTIONAL NEURAL NETWORKS FOR IMAGE CLASSIFICATION
[2023] 159-169
Б.С. Omarov, I.E. Bazarkulova
BUILDING A MODEL FOR DETECTING PNEUMONIA USING DEEP LEARNING
[2022] 204-214
A. Bakytkyzy , Y.S. Smagulov, S.B. Maden, D.M. Zhexebay, Y.T. Kozhagulov
DEEP LEARNING VOICE ASSISTANT
[2022] 95-101
N. Mekebayev, Ch Tuyebaev, K. Sabrayev, А Yerkebay
RESEARCH OF ACOUSTIC AND LINGUISTIC MODELING BASED ON REPETITIVE NEURAL NETWORKS FOR SPEECH RECOGNITION OF CHILDREN
[2022] 119-126
А.А. Mukhanbet, B.S. Daribayev, Y.S. Nurakhov
SOLVING THE PROBLEM OF OIL RELEASE USING NEURAN NETWORKS
[2021] 32-38
D.N. Issabayeva , G.A. Abdulkarimova
TO THE QUESTION OF LEARNING MODELING A NEURAL NETWORK IN SCHOOL COURSE OF INFORMATICS
[2020] 180-187
F.U Malikova, N.ZH Zhanat, A.K Saginayeva, R.S Ryskeldy
FEATURES OF FACIAL RECOGNITION
[2021] 374-377