Azret Kochkarov

ORCID: 0000-0002-3232-5331
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About
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Research Areas
  • Advanced Research in Systems and Signal Processing
  • Advanced Data Processing Techniques
  • Cybersecurity and Information Systems
  • Complex Network Analysis Techniques
  • Economic and Technological Developments in Russia
  • Potato Plant Research
  • Food Industry and Aquatic Biology
  • Light effects on plants
  • Remote Sensing in Agriculture
  • Aerospace, Electronics, Mathematical Modeling
  • Network Security and Intrusion Detection
  • IoT and GPS-based Vehicle Safety Systems
  • Technology and Human Factors in Education and Health
  • Aerospace Engineering and Control Systems
  • Agricultural Development and Policies
  • Advanced Clustering Algorithms Research
  • Environmental and Industrial Safety
  • Plant biochemistry and biosynthesis
  • Robotic Path Planning Algorithms
  • Algorithms and Data Compression
  • Statistical and Computational Modeling
  • Mental Health via Writing
  • Mathematical Control Systems and Analysis
  • Cellular Automata and Applications
  • Infrared Target Detection Methodologies

Federal Center Research Fundamentals of Biotechnology
2023-2025

Russian Academy of Sciences
2023-2025

Financial University
2017-2023

All-Russian Scientific Research Institute of Food Biotechnology
2022

Moscow Aviation Institute
2022

Military University
2021

V. A. Trapeznikov Institute of Control Sciences
2019

North Caucasian State Humanitarian Technological Academy
2017

Financial Research (Hungary)
2017

Government of Russia
2017

The cultivation of aromatic plants that are valuable for nutritional and medical aims under artificial conditions with narrow-band LED lighting is becoming widespread. A comparison the effects conventional basil field greenhouse a city farm (CF) on essential oil its components was studied in Ocimum × citriodorum Vis. “Kapriz” (OcK), O. basilicum L. “Queen Sheba” (ObQS) minimum “Vasilisk” (OmV). Essential (EO) extracted by hydrodistillation from dry leaves varieties. EO composition gas...

10.3390/plants14030403 article EN cc-by Plants 2025-01-29

В статье рассматривается проблема выявления признаков депрессии на основе пользовательских данных из социальных сетей с применением методов машинного обучения и сетевого анализа. Исследование включает разработку модели пользователей признаками депрессии, которая основана текстовом анализе их публикаций в сетях, а также метаданных профилей социальной сети. качестве алгоритмов исследовании были использованы нейронные сети, что позволило достичь высокой точности классификации. Графовый анализ,...

10.26102/2310-6018/2025.48.1.020 article RU Modelirovanie, optimizaciâ i informacionnye tehnologii. 2025-01-14

10.1134/s0965542515090080 article EN Computational Mathematics and Mathematical Physics 2015-09-01

One of the promising trends in modern agronomy is development automated closed urban vertical farms with controlled environmental conditions, which can improve dynamics crop vegetation process. In frame this work, analysis vegetative stages potato seed material (minitubers and microplants) grown conditions farm was conducted. The study performed at Federal Research Center “Fundamentals Biotechnology” Russian Academy Sciences by water consumption dynamics. It established that 20-day reduction...

10.3390/agronomy13040954 article EN cc-by Agronomy 2023-03-23

Globalization activates qualitative changes in multiple economic entities and requires the development of alternative forms business organization. At present, one most promising tracks is represented by implementation network structures, aimed at achieving common goals obtaining a win-win outcome via joint effort. Business structures that invite dynamic consistent transformations on wide scale prove to be able successfully compete market. In this regard, project management system medical hub...

10.3390/systems11040182 article EN cc-by Systems 2023-04-01

Urban vertical farming is an innovative solution to address the increasing demand for food in densely populated cities. With advanced technology and precise monitoring, closed urban farms can optimize growing conditions plants, resulting higher yields improved crop quality. However, fully systems, research needed enhance reduce season. The present study focused on of mutual influence microclimate parameters, such as temperature, humidity, carbon dioxide concentration, well spectral...

10.3390/agronomy13082174 article EN cc-by Agronomy 2023-08-19

The implementation of advanced precision farming systems, which are becoming relevant due to rapid technological development, requires the invention new approaches diagnostics and control growing process cultivated crops. This is especially for potato, as it one most demanded crops in world. In present work, an analytic model dependence potato tubers mass on carbon dioxide concentration under cultivation a closed vegetation system presented. based quantitative description starch molecule...

10.3390/plants12162962 article EN cc-by Plants 2023-08-16

The development of mathematical models and efficient technologies for the processing protein-containing dairy vegetable raw materials production food feed concentrates with controlled functional properties is one most promising areas within agricultural industry. In this work, suitability electroflotation coagulation method combined extraction milk proteins was established by changing electrolysis parameters directed regulation isoelectric state proteins. research methodology based on modern...

10.3390/math10081284 article EN cc-by Mathematics 2022-04-12

The structural stability of the system to external influences is an important parameter transport and logistics task. In modern literature, concept defined as applied each individual problem, a result which there are difficulties in applying developed methods new problems. paper describes assessing functioning systems. methodological base research includes theory optimal control multicriteria optimization; elements graph used modeling tools, well numerical analysis evaluate coefficients. A...

10.26794/2404-022x-2020-10-1-102-111 article EN cc-by Management Sciences 2020-04-22

The paper examines current trends in digitalization and intellectualization of the agricultural production sector. authors' experience using artificial intelligence technologies when working with vertical autonomous farms, as one types urban production, is described. A number issues are identified that require further research to improve efficiency use production. Separately, changing growing time, size, weight, concentration required (useful) substances, content secondary metabolites plants...

10.20948/k95-8 article EN 2024-01-01

В статье показаны возможности применения методов машинного обучения для построения и анализа системы аутентификации на основе динамики нажатий клавиш. работе обоснована необходимость улучшения многофакторной аутентификации. Предложен способ классификации работ поведенческой биометрии сравнения использования результатов исследований. Рассмотрены базовые обработки генерирования динамических статических признаков Протестированы различные комбинации наборов выборок обучения, описана лучшая...

10.26102/2310-6018/2024.45.2.021 article RU Modelirovanie, optimizaciâ i informacionnye tehnologii. 2024-04-07

В статье показаны возможности применения семантического анализа постов пользователей социальной сети ВКонтакте для мониторинга и прогнозирования депрессии. Подчеркивается серьезность проблемы депрессии, ее негативное влияние на здоровье социум, а также актуальность ранней диагностики помощи. работе обоснована необходимость перспективы данных русскоязычных социальных сетей предотвращения развития депрессии у пользователей. предложен подход, который позволяет проводить анализ текстовых...

10.26102/2310-6018/2024.45.2.016 article RU Modelirovanie, optimizaciâ i informacionnye tehnologii. 2024-04-07

This text presents a comprehensive analysis of the application both classical and modern methods for analyzing psychometric data to assess individuals' mental states. Regression classification are main classes machine learning used in this study. The task involves predicting dependent variable representing levels depression, anxiety, or stress on scale 0 4. Various models, including random forest, linear regression, gradient boosting, extreme employed. original dataset, which includes...

10.18127/j19998554-202402-05 article EN Neurocomputers 2024-02-02

The task of building models and analyzing the protection continuous monitoring systems from cyber-attacks is currently becoming particularly relevant due to rapid development implementation in various industries. Despite constant field, identifying potential information threats such remains at same level with means methods conducting cyber-attacks. purpose this work develop a DDOS attack model for spatially distributed system hierarchical structure connections between sensors. To define...

10.18127/j20700970-202401-05 article EN Nonlinear World 2024-01-01

Social networks have firmly entered the lives of billions global Internet users worldwide. They communicate in social networks, play online games, make purchases, organise events — exchange content from all walks life [1, 2]. The most popular and well-known services Russia are Vkontakte (vk.com), Youtube.com, Facebook.com, Odnoklassniki (Ok.ru), etc. interfaces such platforms allo fake accounts. In this paper, we propose an approach to detect bots using LiveJournal network as example. For...

10.26794/2220-6469-2020-14-2-44-50 article EN cc-by The world of new economy 2020-11-01

The method of the optimal movement trajectory construction in terrain patrolling tasks is proposed. based on search Hamiltonian circuit graph map and allows automatic closed path for arbitrary map. distinguishing feature use modified algorithm search. can be scaled maps corresponding to graphs with a large (more than 100) number vertices, which standard brute-force requires significantly higher execution time proposed algorithm. It demonstrated that utilized possesses 17 times less constant...

10.3390/math11010223 article EN cc-by Mathematics 2023-01-02

We propose a novel application of machine learning methods to predict the state complex structured radio electronic systems. The model for collecting data about functioning system based on an integrated monitoring its components states is proposed and justified. made possible adapt one most widespread learning, gradient boosting, sample historical data, from General Designer stand embedded control system, solve problem forecasting whole system. Operating experience showed that component...

10.1109/ent47717.2019.9030597 article EN 2019-11-01

10.20948/future-2018-17 article EN Proektirovanie buduŝego. Problemy cifrovoj realʹnosti 2018-01-01

Abstract We report a simulation model of technical condition data radio information systems at solving the problem failures forecasting. Time cost analysis on sampling for high-accuracy forecasting showed that performance samples accumulation by testing equipment stands does not allows us to create with automated operation management system time. The existing level product unification use both from previous generation stations and current built-in control new radar stations, due their...

10.1088/1742-6596/1499/1/012034 article EN Journal of Physics Conference Series 2020-03-01

Fractals are already firmly rooted in modern science. Research continues on the fractal properties of objects physics, chemistry, biology and many other scientific fields. Fractal graphs as a discrete representation used to model describe structure various processes, both natural artificial. The paper proposes an introduction prefractal graphs. main definitions notation proposed—the concept seed, operations processing procedure for generating graph. Canonical (typical) non-canonical...

10.3390/math10142500 article EN cc-by Mathematics 2022-07-18
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