AXATOV AKMAL RUSTAMOVICH
AXBOROTLARGA ISHLOV BERISH, BOSHQARUVNI AVTOMATLASHTIRISH, SUN’IY TAFAKKUR TEXNOLOGIYALARI BO‘YICHA ETAKCHI MUTAXASSIS
Akmal Rustamovich Axatov
Xalqaro hamkorlik bo'yicha prorektor
Ilmiy tadqiqot yo‘nalishi:
Elektron hujjat aylanish tizimlarida axborotni qayta ishlash sifatini ortiqchalik asiosida oshirish; tasvirlarini tanib olish va tasniflash ishonchligini oshirishning neyro-noravshan va gipersemantik tafakkurli tizimlari; nostatsionar tizimlarni boshqarishni optimallashtirish; taqsimlangan reeestr mexanizmlari bo'yicha ma'lumotlar ishonchliligini oshirish, real vaqt rejimida katta ma'lumotlarni qayta ishlash.
Ilmiy tadqiqotlarining asosiy natijalari:
Elektron hujjat aylanish tizimlarida matnli ma'lumotlarni uatish va qayta ishlash ishonchliligini pr-ortiqchalik asosida oshirish model, usul va algoritmlar majmuasini yaratgan. Ma’lumotlarni intellektual tahlil qilishda netro-noravshan va gipersemantik tarmoqlardan foydalanish, parallel algoritmlarni qurish model va usullarini ishlab chiqqan. Chumoli algoritmlar asosida boshqaruvni optimallashtirish model va usullarini yaratgan. Tibbiyot muassasalarida axborotni qayta ishlash va monitoring faoliyatini avtomatlashtirish tizimlarida muvaffaqiyatli qo‘llangan. Nutq signallari asosida ovoz va matnni tanib olish, qayta ishlash orqali stenogrammalarni shakllantiruvchi “Sound and text transcript” intellektual dasturiy mahsuloti ishlab chiqilgan va web-ilova sifatida joriy etilgan
Asosiy ilmiy nashrlari:
1. On a model of forming the optimal Parameters of the Recognition Algorithms. International journal of Maritime Information and Communication Sciences. - Korea, 2011. - Vol. 9, NO 5, october 2011. – pp. 607-609.
2. Methods for controlling the authenticity of textual information transfer on the basis of statistical and structural redundancy. International Journal of Automation and Computing, Chinese Academy of Sciences, China. - Volume 9, Number 5 (2012). - p.p.518-529.
3. Methods and Algorithms of Neuro-Fuzzy System for Control of Texts Transfer and Processing in the Electronic Documents. “Applied Technologies and Innovations”, Prague Development Center. – Prague, 2012. – Volume 8, November 2012. – pp.27-37.
4. Development of Models and Algorithms for Improving the Reliability of Transfer of Information Based on the Application of Cryptographic Methods to the Distributed Register Technology. International Journal of Control and Automation Vol. 13, No.2, (2020), pp. 1118 – 1129,
5. Principles of analysis and processing of video information in the identification of personal movement. “Science and innovation” international scientific journal. Volume 2, issue 5, may 2023. Uif-2022. - 119-124 b.
6. Braille classification algorithms using neural networks. Proceedings of The International Conference on Artificial Intelligence, Blockchain, Computing and Security. 24-25 February.2023 y.
7. Real-Time Big Data Processing Based on a Distributed Computing Mechanism in a Single Server. Stochastic Processes and Their Applications in Artificial Intelligence, 2023.
8. Development of skeleton-based gait models for human movement recognition based on neural networks. AIP Conference Processing, (2024), Research article. May 06, 2024, https://doi.org/10.1063/5.0210297