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Bulletin of Abai KazNPU. Series of Physical and Mathematical sciences

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A.S. Baimakhanova, К.М. Berkimbaev, A.K. Zhumadillayeva, G.D. Koshanova
INTERACTION OF DEEP LEARNING WITH CONVOLUTIONAL NEURAL NETWORKS
[2023] 127-135
G. Kazbekova, Y. Serdaliyev, G. Omarova, Zh. Kemelbekova, Y. Kurmangaliyev
A REVIEW OF DEEP LEARNING METHODS FOR DETECTING CORROSION AND CRACKS IN INDUSTRIAL PIPELINES
[2026]
Д.Ж. Satybaldina, K.A. Kalymova, D.M. Sydykov
APPLYING OF THE TRANSFER LEARNING TO CONVOLUTIONAL NEURAL NETWORKS FOR IMAGE CLASSIFICATION
[2023] 159-169
S. Alpar, R. Faizulin, F. Tokmukhamedova
COMPARATIVE ANALYSIS OF PHYSICS-INFORMED NEURAL NETWORKS AND THE RUNGE-KUTTA METHOD FOR SOLVING ONE-DIMENSIONAL EULER EQUATIONS
[2025] 30-36
N. K Mukazhanov, Zh.M Alibieva, M. Turdalyuly, D. Rashidinov, N.T. Issimov
DETECTION OF PLANT DISEASES USING DEEP LEARNING
[2025] 210-221
K. Turganbay, S. Issabayeva, E. Tenizbaev, T. Zhukova, L. gnashova
FEATURES OF SPEAKER RECOGNITION THROUGH DEEP LEARNING OF NEURAL NETWORKS
[2024] 164-173
D. Sultan, R. Abdrakhmanov, T. Turymbetov, T. Iskakov, B. Yagaliyeva
DEEP LEARNING-BASED CYBERBULLYING DETECTION IN KAZAKH: A HYBRID APPROACH FOR IMPROVED TEXT CLASSIFICATION
[2026] 208-220
K.S Imanbaev
RESEARCH IN-DEPTH TRAINING OF NEURAL NETWORKS
[2020] 234-238
A.B. Bazhibayeva, D.N. Isabaeva, S.M. Aldashev, S. Baipakbayeva
COMPUTER VISION FOR STUDENT ENGAGEMENT IN ONLINE LEARNING: LITERATURE REVIEW
[2026] 149-159
D. Yermekova, Профессор, B. Tokanova, Докторант
COMPARATIVE ANALYSIS OF BEHAVIORAL VIDEO ANALYTICS APPROACHES BASED ON MACHINE LEARNING
[2026]
R. Abdrakhmanov, D. Sultan, T. Nazarbek, T. Iskakov, B. Yagaliyeva
TRANSFORMER BASED BI-LSTM DEEP LEARNING MODEL FOR AUTOMATIC CYBERBULLYING DETECTION IN KAZAKH TEXTUAL DATA
[2026] 100-114
Б.С. Omarov, I.E. Bazarkulova
BUILDING A MODEL FOR DETECTING PNEUMONIA USING DEEP LEARNING
[2022] 204-214
B.M. Ukibassov, S.B. rakhmetulayeva, A.K. Bolshibayeva
SEMANTIC SEGMENTATION DEEP LEARNING MODELS IN ECHOCARDIOGRAPHY: CUSTOM DATASET-BASED FINE-TUNING
[2024] 149-155
Zholdas Buribayev, Zhazira Amirgaliyeva, Aisulu Ataniyazova, Zarina Melis, Daniyar Dauletiya
APPLICATION OF MACHINE LEARNING ALGORITHMS FOR CLASSIFICATION OF WEED VARIETIES
[2021] 83-93
Sh. Mussiraliyeva, M. Bolatbek, Sh. Temirgaziyeva
DEVELOPMENT OF A METHOD FOR GRAPHICAL DESTRUCTIVE CONTENT ANALYSIS
[2025]
T.A Nurmukhanov, B.S Daribayev
RECOGNITION OF THE TEXT BY MEANS OF DEEP LEARNING
[2021] 378-383
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
A.T. Yeralkhanova, M. Yessenbay, A.K. Mukhtarova, D.M. Zhexebay, Y.T. Kozhagulov
RECOGNITION OF SPEECH EMOTIONS USING MACHINE LEARNING
[2022] 102-108
M.B. Zhanuzakov, G.T. Balakaeva
PREDICTION OF EMPLOYEE PROMOTION BASED ON RATINGS USING MACHINE-LEARNING ALGORITHMS
[2022] 106-111
Amir Yelenov, Асель Джаксылыкова
SCIENTIFIC NAMED ENTITY RECOGNITION WITH THE HELP OF MODERN METHODS
[2021] 94-99
A.T. Tursynova, B.S. Omarov
EVALUATING AN ENSEMBLE MODEL FOR STROKE IMAGE CLASSIFICATION: COMPARATIVE ANALYSIS WITH INDIVIDUAL NEURAL NETWORK ARCHITECTURES
[2024] 179-187
D.R. Rakhimova, Zh. Duisenbekkyzy, O.А. Sagyntay, Ә.Т. Turarbek, Sh. Toleugaly
ANALYSIS AND IMPROVEMENT OF NOISE REDUCTION ALGORITHMS IN CHILDREN'S SPEECH RECOGNITION SYSTEMS
[2025] 230-242
М.Zh. Sakypbekova, M.K. Soltangeldinova
APPLICABILITY OF MODERN PLANT DISEASE RECOGNITION MODELS TO FIELD CONDITIONS: A SYSTEMATIC REVIEW OF FIVE ARCHITECTURES
[2026] 218-226
Bauyrzhan Omarov, A. Serdaly, A. Ydyrys, Батырхан Омаров
INTRUSION DETECTION USING MINI-VGGNET-BASED CONVOLUTIONAL NEURAL NETWORK AND FEATURE REDUCTION
[2025]
Y.T. Kozhagulov, D.M. Zhexebay, T.A. Namazbayev, S.A. Sarmanbetov
EFFECTIVE CLASSIFICATION OF DIGITAL MODULATION USING CONVOLUTIONAL NEURAL NETWORKS
[2024] 201-210
1 - 25 of 39 items 1 2 > >>