Bulletin of Abai KazNPU. Series of Physical and Mathematical sciences | Bulletin of Abai KazNPU. Series of Physical and Mathematical sciences

G. Aksholak, R. Magazov

APPLICATION OF MACHINE LEARNING METHODS TO ANALYZE MALICIOUS NETWORK TRAFFIC

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[2025] 125-135

Gulbakhram Beissenova, Rakhima Ospanova, Uldar Balgymbekova, Gulzhanat Abdrakhmanoava, A.N. Zhidebayeva

NEURAL NETWORK – BASED SECURITY FRAMEWORK FOR IOT DEVICES

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[2026] 187-195

D. Sultan, R. Abdrakhmanov, T. Turymbetov, T. Iskakov, B. Yagaliyeva

DEEP LEARNING-BASED CYBERBULLYING DETECTION IN KAZAKH: A HYBRID APPROACH FOR IMPROVED TEXT CLASSIFICATION

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[2026] 208-220

Bauyrzhan Omarov, A. Serdaly, A. Ydyrys, Батырхан Омаров

INTRUSION DETECTION USING MINI-VGGNET-BASED CONVOLUTIONAL NEURAL NETWORK AND FEATURE REDUCTION

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[2025]

N.B. Daukenov, I.A. Tereikovskyi

INTEGRATION AND AUTOMATION IN ACTIVE PROTECTION OF NETWORK RESOURCES: PROSPECTS FOR DEVELOPMENT

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[2024] 178-187

K.T. Kozhakhmet, A.M. Omirali , D.A. Bayazitov

INNOVATIVE ARTIFICIAL INTELLIGENCE METHODS TO IDENTIFY TRUE AND FALSE STATEMENTS

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[2023] 186-193

M.B. Ydyryshbayeva, B.S. Akhmetov

A MODEL FOR DESCRIBING META-KNOWLEDGE IN A CYBERSECURITY SOLUTION SUPPORT SYSTEM

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[2023] 186-194

M. Zhassuzak, A. Ataniyazova, Zh. Buribayev, D. Dauletiya, Zh. Amirgaliyeva

TOMATO DISEASE RECOGNITION BASED ON OPTIMIZED CONVOLUTIONAL NEURAL NETWORKS

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[2022] 179-187

A.B. Turdina, A.L. Semenov, A.M. Mubarakov, A.O. Kerimbayev

THE ROLE AND PLACE OF CODING THEORY IN IMPROVING THE EFFICIENCY OF INFORMATION TRANSMISSION

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[2022] 151-157

N. Duisegaliyeva, A. Adamova

PROCTORING SYSTEM USING MACHINE LEARNING ALGORITHMS TO DEVELOP ATTESTATION SOFTWARE

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[2021] 79-87

Ye. Amirgaliyev, А. Sadykova, Ch. Kenshimov

COMPARISION OF FACE DETECTION TOOLS

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[2021] 59-64

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