Scientific journal

ISSN 1814-2400

INFORMATION SCIENCE AND CONTROL SYSTEMS

№ 4 (66)

Systems Simulation

Eremin I. E., Natsvin A. V., Trukhin V. I., Cherkasov A. N.

THREE-DIMENSIONAL COMPUTER MODELING OF ALBAZIN FORTRESS IN 1684. PART IV

Kochetova I. V., Levenets A.V.

SIMULATION OF DATA TRANSMISSION SYSTEM WITH ADAPTIVE SELECTION OF AN ERROR-CORRECTING CODE BASED ON COMMUNICATION CHANNEL STATE ASSESSMENT

Passar A. V., Timoshenko D. V., Faleeva E. V.

METHODOLOGY FOR DETERMINING SPEED COEFFICIENTS IN THE DESIGN OF RADIAL-AXIAL TURBINE

IMPLEMENTATION AND COMPUTER MODELING OF DISTURBANCE COMPENSATION ALGORITHMS FOR PROGRAMMABLE LOGICAL CONTROLLERS

Gukov N. V., Nersesian A. A., Sventzitzkaya T. A., Tomchin D. V.

ROTOR SYNCHRONIZATION CONTROL OF DOUBLE-ROTOR VIBRATION UNIT UNDER STOCHASTIC LOAD

Reliability and Technical Diagnostics

SYNTHESIS OF A STRATEGY FOR GUARANTEED CONDITION-BASED MAINTENANCE OF COMPLEX ENGINEERING SYSTEMS UNDER HEAVY-DUTY SERVICE

Digo G.B., Digo N.B.

SEARCH METHODS IN THE STRATEGY OF OPERATING HIGH-DUTY TECHNICAL SYSTEMS

RUN-LENGTH ENCODING ALGORITHM FOR COMPRESSING ACCEPTABILITY REGIONS DISCRETE REPRESENTATION DATA

Stochastic Systems

Lapko A. V., Lapko V. A.

SEQUENTIAL PROCEDURE FOR NONPARAMETRIC ESTIMATION OF STOCHASTIC DEPENDENCE

Intelligence Systems

Amosov O. S., Amosova S. G., Magola D. S.

USE OF GENETIC ALGORITHM IN DEEP NEURAL NETWORKS CONFIGURATION FOR THE PURPOSES OF COMPUTER ATTACKS CLASSIFICATION

Amosov O. S., Amosova S. G., Magola D. S.

USE OF GENETIC ALGORITHM IN DEEP NEURAL NETWORKS CONFIGURATION FOR THE PURPOSES OF COMPUTER ATTACKS CLASSIFICATION

Adaptive and Robust Systems

Eremin E.L., Nikiforova L. V., Shelenok E.A.

COMBINED SYSTEM CONTROLLER WITH AN IMPLICIT REFERENCE FOR OUTPUT CONTROL OF A STRUCTURALLY INDETERMINATE NON-AFFINE PLANT WITH AN UNKNOWN STATE DELAY

Notes

Bakin E. N., Donets S. A., Popov N. I.

ALGORITHM WITH ARTIFICIAL INTELLIGENCE ELEMENTS FOR DETERMINING THE SOURCE OF FIRE BY ANALYZING VIDEO IMAGES

Ermolitskaya M. Z.

USING ARTIFICIAL NEURAL NETWORKS TO PREDICT POSITIVE DYNAMICS IN THE TREATMENT OF TUBERCULOSIS PATIENTS

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TOPICS: "AUTOMATION. COMPUTER ENGINEERING"

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