Д.Ж. Satybaldina, K.A. Kalymova, D.M. Sydykov
APPLYING OF THE TRANSFER LEARNING TO CONVOLUTIONAL NEURAL NETWORKS FOR IMAGE CLASSIFICATION
[2023] 159-169
A.S. Baimakhanova, К.М. Berkimbaev, A.K. Zhumadillayeva, G.D. Koshanova
INTERACTION OF DEEP LEARNING WITH CONVOLUTIONAL NEURAL NETWORKS
[2023] 127-135
Б.С. Omarov, I.E. Bazarkulova
BUILDING A MODEL FOR DETECTING PNEUMONIA USING DEEP LEARNING
[2022] 204-214
K. Turganbay, S. Issabayeva, E. Tenizbaev, T. Zhukova, L. gnashova
FEATURES OF SPEAKER RECOGNITION THROUGH DEEP LEARNING OF NEURAL NETWORKS
[2024] 164-173
M.B. Zhanuzakov, G.T. Balakaeva
PREDICTION OF EMPLOYEE PROMOTION BASED ON RATINGS USING MACHINE-LEARNING ALGORITHMS
[2022] 106-111
Y. Çelik, O. Fındık, Y. Alaca , B. Assanova, S. Sharmukhanbet
IMPLEMENTATION OF THE ARTIFICIAL IMMUNE SYSTEM ALGORITHM FOR SECURITY INFORMATION AND EVENT MANAGEMENT SYSTEMS
[2023] 176-187
T.A Nurmukhanov, B.S Daribayev
RECOGNITION OF THE TEXT BY MEANS OF DEEP LEARNING
[2021] 378-383
B.M. Ukibassov, S.B. rakhmetulayeva, A.K. Bolshibayeva
SEMANTIC SEGMENTATION DEEP LEARNING MODELS IN ECHOCARDIOGRAPHY: CUSTOM DATASET-BASED FINE-TUNING
[2024] 149-155
K.S Imanbaev
RESEARCH IN-DEPTH TRAINING OF NEURAL NETWORKS
[2020] 234-238
Sh. Mussiraliyeva, M. Bolatbek, Sh. Temirgaziyeva
DEVELOPMENT OF A METHOD FOR GRAPHICAL DESTRUCTIVE CONTENT ANALYSIS
[2025]
Zholdas Buribayev, Zhazira Amirgaliyeva, Aisulu Ataniyazova, Zarina Melis, Daniyar Dauletiya
APPLICATION OF MACHINE LEARNING ALGORITHMS FOR CLASSIFICATION OF WEED VARIETIES
[2021] 83-93
A.U. Bekbauova, M.Zh. Talipova
USE OF NEW METHODS IN MATHEMATICAL EDUCATION
[2022] 118-125
M. Zhassuzak, A. Ataniyazova, Zh. Buribayev, D. Dauletiya, Zh. Amirgaliyeva
TOMATO DISEASE RECOGNITION BASED ON OPTIMIZED CONVOLUTIONAL NEURAL NETWORKS
[2022] 179-187
L.Sh. Cherikbayeva, B.Y. Turkistan
APPLICATION AND RESEARCH OF EFFECTIVE MACHINE LEARNING ALGORITHMS IN MEDICAL DATA PROCESSING
[2022] 179-187
Amir Yelenov, Асель Джаксылыкова
SCIENTIFIC NAMED ENTITY RECOGNITION WITH THE HELP OF MODERN METHODS
[2021] 94-99
Bauyrzhan Omarov, A. Serdaly, A. Ydyrys, Батырхан Омаров
INTRUSION DETECTION USING MINI-VGGNET-BASED CONVOLUTIONAL NEURAL NETWORK AND FEATURE REDUCTION
[2025]
L.Sh. Balgabaeva, S.B. Kenzhegulova, F.U. Malikova , A.T. Toleushova, D.E. Abay
ARTIFICIAL INTELLIGENCE IN CARDIOLOGY
[2022] 85-90
Y. Kenzhebek, T.S. Imankulov, D.Zh. Akhmed-Zaki
PREDICTION OF OIL PRODUCTION USING PHYSICS-INFORMED NEURAL NETWORKS
[2021] 45-50
N.K. Kadyrbek, М.Е. Mansurova, М.Е Kyrgyzbayeva
USING OF LSTM NETWORKS IN SENTIMENT ANALYSIS OF DOCUMENTS IN KAZAKH LANGUAGE
[2021] 366-370
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.K. Alipova, A.R. Turganbayeva
ADVANTAGES OF INTRODUCING GAME PRACTICE IN TEACHING INFORMATICS IN PRIMARY SCHOOL
[2023] 218-227
L.E. Sovetov, S.E. Kasenov, A.M. Tleulesova, B.M. Imanbayev, G.B. Aben
EFFECTIVE WAYS TO USE A CERTAIN INTEGRAL WHEN FINDING THE AREA OF A FIGURE
[2022] 123-131
A. Bakytkyzy , Y.S. Smagulov, S.B. Maden, D.M. Zhexebay, Y.T. Kozhagulov
DEEP LEARNING VOICE ASSISTANT
[2022] 95-101
A.T. Yeralkhanova, M. Yessenbay, A.K. Mukhtarova, D.M. Zhexebay, Y.T. Kozhagulov
RECOGNITION OF SPEECH EMOTIONS USING MACHINE LEARNING
[2022] 102-108