AIMS & SCOPE

The peer-reviewed scientific journal "Informatics and Control Problems" is registered in the manner prescribed by the law of the Republic of Azerbaijan. The Journal is published twice a year as Issues 3 and 6 in the Series of Physical-Technical and Mathematical Sciences of "Transactions of Azerbaijan National Academy of Sciences."
The Journal publishes research and analytical and review papers on informatics, information technology and its application. The Journal is aimed at researchers, graduate students, programmers, engineers and students interested in the results of fundamental and applied research in the field of high information technologies based on the latest developments in informatics and computer technology.

The Journal accepts papers in the following fields:

• control theory and system analysis;
• mathematical modeling and identification;
• analysis and synthesis of signals and images;
• information measurement systems;
• information processing and control systems;
• artificial intelligence in control systems;
• automation of technological processes and production.

CONTENTS:

OUR NOTABLE ANNIVERSARIES

TELMAN ALIEV ─ 90

THEORY OF CONTROL

Arif Hasanov, Adalat Pashayev, Elkhan Sabziev. Optimization of ensuring tactical formation during joint flight

Yegana Ashrafova. Optimization of source parameters in transport networks

Rashad Mastaliyev. Necessary optimality conditions of quasi-singular controls for a continuous stochastic Rosser-type control problem

MODELING AND IDENTIFICATION

Rovshan Aliyev, Urfan Aliyev. On stochastic process with fuzzy gamma distributed interference of chance and fuzzy exponential demands

Elshan Ibayev, Konul Omarova. On application of a semi-Markov random walk process in logistics

Abdurahman Vagifli. Autoencoder-based invisible watermarking: A lightweight deep learning approach for robust embedding and recovery

INFORMATION TECHNOLOGY AND SYSTEMS

Asen Asenov, Jonas Matijošius, Velizara Pencheva, Desislava Beleva. Study of PM10 and PM2.5 emissions in urban conditions

Gulchin Abdullayeva, Nigar Alishzade. A study on recurrent, attention-based, and hybrid neural architectures for sign language recognition

Aynur Aliyeva. Application of Retrieval-Augmented Generation technology to teaching the subject of computer science