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Bulletin of Abai KazNPU. Series of Physical and mathematical sciences

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1 - 11 of 11 items
Д.Ж. Satybaldina, K.A. Kalymova, D.M. Sydykov
APPLYING OF THE TRANSFER LEARNING TO CONVOLUTIONAL NEURAL NETWORKS FOR IMAGE CLASSIFICATION
[2023] 159-169
T.A Nurmukhanov, B.S Daribayev
RECOGNITION OF THE TEXT BY MEANS OF DEEP LEARNING
[2021] 378-383
A.T. Tursynova, B.S. Omarov
EVALUATING AN ENSEMBLE MODEL FOR STROKE IMAGE CLASSIFICATION: COMPARATIVE ANALYSIS WITH INDIVIDUAL NEURAL NETWORK ARCHITECTURES
[2024] 179-187
N. Toiganbaeva, A. Alimova, M. Sakypbekova, F. Gusmanova, G. Abdimanap
RECOGNITION OF HANDWRITTEN TEXTS IN KAZAKH-RUSSIAN BASED ON NEURAL NETWORKS
[2023] 183-191
A. Bakytkyzy , Y.S. Smagulov, S.B. Maden, D.M. Zhexebay, Y.T. Kozhagulov
DEEP LEARNING VOICE ASSISTANT
[2022] 95-101
M. Zhassuzak, A. Ataniyazova, Zh. Buribayev, D. Dauletiya, Zh. Amirgaliyeva
TOMATO DISEASE RECOGNITION BASED ON OPTIMIZED CONVOLUTIONAL NEURAL NETWORKS
[2022] 179-187
Y.T. Kozhagulov, D.M. Zhexebay, T.A. Namazbayev, S.A. Sarmanbetov
EFFECTIVE CLASSIFICATION OF DIGITAL MODULATION USING CONVOLUTIONAL NEURAL NETWORKS
[2024] 201-210
Б.С. Omarov, I.E. Bazarkulova
BUILDING A MODEL FOR DETECTING PNEUMONIA USING DEEP LEARNING
[2022] 204-214
Bauyrzhan Omarov, A. Serdaly, A. Ydyrys, Батырхан Омаров
INTRUSION DETECTION USING MINI-VGGNET-BASED CONVOLUTIONAL NEURAL NETWORK AND FEATURE REDUCTION
[2025]
S.M. Hashim, H. Kutucu, B. Assanova, N. Shazhdekeyeva, A Taishiyeva
DETECTION OF PARKINSON'S DISEASE PATIENTS BASED ON VOICE RECORDING USING CONVOLUTION NEURAL NETWORK
[2023] 202-211
Sh. Mussiraliyeva, M. Bolatbek, Sh. Temirgaziyeva
DEVELOPMENT OF A METHOD FOR GRAPHICAL DESTRUCTIVE CONTENT ANALYSIS
[2025]
1 - 11 of 11 items