Issue |
Title |
No 2 (2021) |
USING THE ALGORITHM OF CONDITIONAL ALTERNATING MATHEMATICAL EXPECTATIONS TO MATHEMATICAL MODELS DESIGN TO ESTIMATE THE QUALITY INDICATORS OF OUTPUT PRODUCTS |
|
Mozharovskii I.S., Samotylova S.A., Baulin E.S. |
No 2 (2019) |
METHODS OF IMPROVING NEURAL NETWORK SYSTEMS EFFICIENCY IN CONDITIONS OF LIMITED DATA SETS WITH COMPLEX CORRELATIONS |
|
Cherepanov F.M. |
No 4 (2020) |
APPLICATION OF NEURAL NETWORKS IN SIMULATION OF CLUSTER-NETWORK RELATIONS IN OIL AND GAS INDUSTRY |
|
Kozhemyakin L.V. |
No 4 (2023) |
Review of methods and systems for generation of synthetic training data |
|
Rabchevsky A.N. |
No 2 (2021) |
COMPARISON OF METHODS FOR IDENTIFYING USER ROLES IN ONLINE SOCIAL NETWORKS |
|
Rabchevsky A.N., Yasnitsky L.N., Zayakin V.S. |
No 3 (2021) |
COMBINED NEURAL NETWORK METHOD FOR DETERMINING THE BRILLOUIN SPECTRUM MAXIMUM IN DISTRIBUTED FIBER-OPTIC SENSORS |
|
Krivosheev A.I., Konstantinov Y.A., Pervadchuk V.P., Barkov F.L. |
No 1 (2021) |
STUDY ON NEURAL NETWORK MODEL TO DETECT ANOMALIES IN DATASETS |
|
Sheglevatych R.V., Sysoev A.S. |
No 3 (2018) |
TRAINING SAMPLE OBJECT SIZE INFLUENCE UPON THE ARTIFICIAL INTELLIGENCE METHODS SEGMENTATION QUALITY |
|
Karakulov I.V., Kliuev A.V. |
No 1 (2024) |
Exploring color dependency of convolutional neural networks for computer vision promlems |
|
Gladkiy S.L., Khalyavin S.D. |
No 4 (2018) |
ARTIFICIAL INTELLIGENCE IN PERM UNIVERSITIES: HISTORY AND SCIENTIFIC PRIORITY (REVIEW ARTICLE) |
|
Yasnitsky L.N. |
No 4 (2023) |
Application of computer vision to identify reference points for assessing postural disorders |
|
Shitoev I.D., Nikitin V.N., Ivanova M.D., Kloyan G.Z., Muravev S.V. |
No 1 (2019) |
CREATING NEURAL NETWORK FOR IDENTIFICATION OF POTENTIAL BANK CUSTOMERS |
|
Zadvornaya I.A., Romakina O.M. |
No 2 (2019) |
METHODS, FRAMEWORKS AND VIRTUAL PLATFORMS IN DOMAIN OF PORTABLE SELF-DRIVING VEHICLES CONTROL ADJUSTED FOR UNDETERMINED DYNAMIC ENVIRONMENT CONDITIONS: LITERATURE REVIEW |
|
Meyer A.I. |
No 3 (2023) |
On control the chemical composition of raw material and melting mode to ensure the required mechanical properties of steel products of mass production |
|
Yasnitsky L.N., Mezentsev A.S. |
No 2 (2020) |
SOLVING THE PROBLEM OF INCOMPLETE INFORMATION ABOUT AN AUTOMATIC CONTROL OBJECT BASED ON REAL-TIME VIRTUAL SENSORS |
|
Kuznetsova T.A., Avgustinovich V.G. |
No 1 (2022) |
AN ADAPTIVE SOFT SENSOR DESIGN BASED ON A NEURAL NETWORK WITH A PREDICTIVE FILTER IN THE FEEDBACK LOOP FOR A REACTION DISTILATION TECHNOLOGICAL PROCESS |
|
Stabrov S.V., Shtakin D.V., Samotylova S.A., Torgashov A.Y. |
No 4 (2020) |
THE DEVELOPMENT OF CONCEPTUAL ARCHITECTURE OF SELF-DRIVING PORTABLE VEHICLE’S UNIVERSAL MULTI-MODULAR PLATFORM |
|
Meyer A.I. |
No 1 (2021) |
ESTIMATION OF A POSSIBILITY OF PRESERVING ORDER IN A STATE WITH USAGE OF ARTIFICIAL NEURAL NETWORK |
|
Permyakov A.M., Yasnitsky L.N. |
No 3 (2018) |
NEURO-EXPERT SYSTEM OF DIAGNOSTICS, FORECASTING AND RISK MANAGEMENT CARDIOVASCULAR DISEASES |
|
Yasnitsky L.N., Cherepanov F.M. |
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