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230-238
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32-38
N. Mekebayev, Ch Tuyebaev, K. Sabrayev, А Yerkebay
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119-126
Y. Kenzhebek, T.S. Imankulov, D.Zh. Akhmed-Zaki
PREDICTION OF OIL PRODUCTION USING PHYSICS-INFORMED NEURAL NETWORKS
45-50
Д.Ж. Satybaldina, K.A. Kalymova, D.M. Sydykov
APPLYING OF THE TRANSFER LEARNING TO CONVOLUTIONAL NEURAL NETWORKS FOR IMAGE CLASSIFICATION
159-169
K.S Imanbaev
RESEARCH IN-DEPTH TRAINING OF NEURAL NETWORKS
234-238
T.A Nurmukhanov, B.S Daribayev
RECOGNITION OF THE TEXT BY MEANS OF DEEP LEARNING
378-383
D.B. Amirkhan , A.B. Shansharkhanov
APPLICATION OF COMPUTATIONAL TECHNOLOGIES FOR SOLUTION OF PROBLEM OF STOCK MARKET
14-20
N. Toiganbaeva, A. Alimova, M. Sakypbekova, F. Gusmanova, G. Abdimanap
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183-191
M. Zhassuzak, A. Ataniyazova, Zh. Buribayev, D. Dauletiya, Zh. Amirgaliyeva
TOMATO DISEASE RECOGNITION BASED ON OPTIMIZED CONVOLUTIONAL NEURAL NETWORKS
179-187
А. Адикова, А. Adamova
STUDY AND ANALYSIS OF CLASSIFIERS FOR USE IN EMOTION RECOGNITION
72-78
Б.С. Omarov, I.E. Bazarkulova
BUILDING A MODEL FOR DETECTING PNEUMONIA USING DEEP LEARNING
204-214
N. Duisegaliyeva, A. Adamova
PROCTORING SYSTEM USING MACHINE LEARNING ALGORITHMS TO DEVELOP ATTESTATION SOFTWARE
79-87
D. Amirkhanova , О. Mamyrbayev
CRYPTOGRAPHIC ANALYSIS OF THE SCHEME OF POLYLINEAR CRYPTOGRAPHY
114-122
K.T. Kozhakhmet, A.M. Omirali , D.A. Bayazitov
INNOVATIVE ARTIFICIAL INTELLIGENCE METHODS TO IDENTIFY TRUE AND FALSE STATEMENTS
186-193
Y.T. Kozhagulov, D.M. Zhexebay, T.A. Namazbayev, S.A. Sarmanbetov
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N.K. Kadyrbek, М.Е. Mansurova, М.Е Kyrgyzbayeva
USING OF LSTM NETWORKS IN SENTIMENT ANALYSIS OF DOCUMENTS IN KAZAKH LANGUAGE
366-370
M.B. Zhanuzakov, G.T. Balakaeva
PREDICTION OF EMPLOYEE PROMOTION BASED ON RATINGS USING MACHINE-LEARNING ALGORITHMS
106-111
Zholdas Buribayev, Zhazira Amirgaliyeva, Aisulu Ataniyazova, Zarina Melis, Daniyar Dauletiya
APPLICATION OF MACHINE LEARNING ALGORITHMS FOR CLASSIFICATION OF WEED VARIETIES
83-93
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