| Issue | Title | 
																												
								| No 4 (2020) | APPLICATION OF NEURAL NETWORKS IN SIMULATION OF CLUSTER-NETWORK RELATIONS IN OIL AND GAS INDUSTRY |  | 
							
					| Kozhemyakin L.V. | 
						
																										
								| 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 (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 2 (2025) | An overview of the directions and existing solutions for the application of artificial intelligence algorithms in construction |  | 
							
					| Levanova O.V.,													Kravtsov N.V.,													Ivushkin M.D.,													Sokolov A.V.,													Seletkov I.P.,													Biserova N.P.,													Rusakov S.V. | 
						
																										
								| 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 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. | 
						
																										
								| 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. | 
						
							
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