OJS Tashkent State University of Economics
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Revolutionizing Classrooms: The Role of AI in Personalized Learning and Student Engagement
No full textThis paper explores the transformative impact of artificial intelligence (AI) on education, specifically focusing on personalized learning and student engagement. By analyzing recent advancements, practical applications, and challenges, it aims to illustrate how AI can revolutionize classroom experiences. This study employs a mixed-methods approach, including literature review, case studies, and expert interviews, to provide a comprehensive overview of AI\u27s role in modern education
Comparison of machine learning methods in bad loan predictions: analysis of micro finance data
No full textCredit risk management is crucial for lending institutions to safeguard themselves against financial losses and maintain financial stability. Machine learning methods have been useful in analyzing borrower data and identifying bad loans that would be almost impossible for humans to detect. Client data from Microfinance Institution (MFI) in Uzbekistan have been used to build machine learning methods to predict loan delinquency. Their performances were evaluated based on five metrics: accuracy, sensitivity, specificity, negative (npv) and positive predictive value (ppv). The findings suggest that none of the machine learning used in the study methods have absolute advantage over the rest in all five-performance metrics. However, Extreme Gradient Boosting (XGBoost) produced the highest average performance compared to other methods
DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE IN UZBEKISTAN: CHALLENGES, INNOVATIONS, AND FUTURE TRENDS
No full textThe digital transformation and integration of artificial intelligence (AI) are pivotal to the advancement of modern economies. Uzbekistan, a country in Central Asia, is making significant strides in these areas despite facing numerous challenges. This paper explores the current state of digital transformation and AI in Uzbekistan, identifies key challenges, highlights recent innovations, and discusses emerging trends. The findings suggest a growing emphasis on building digital infrastructure, fostering innovation, and creating a supportive regulatory environment, which are crucial for Uzbekistan’s economic and social development
ALGORITHM FOR CONSTRUCTING AND CONFIGURING PARAMETERS OF A MODEL FOR SEARCHING FOR TRACES OF ATTACKS IN AN INFORMATION SYSTEM
No full textIn the information system, it is not possible to constantly monitor the activity of users, that is, monitoring in real time mode is inconvenient. Therefore, it is important to form the actions of users in the system on the basis of parameters based on their role, and to create rules for searching for attack traces in the future detection of attacks, and to configure models and parameters for searching and detecting attack traces based on these rules
IKKI O‘LCHOVLI LOGISTIK AKSLANTIRISHLAR YORDAMIDA MATNLARNI SHIFRLASH
No full textUshbu ilmiy ishda ikki o\u27lchovli logistik regressiya algoritmini qo\u27llash orqali matlarni shifrlash usullari tahlil qilinadi. Metodologiya sifatida berilgan matn ma\u27lumotlarini ikki o\u27lchovli fazoda taqdim etishni va kodlash hamda dekodlash uchun logistik regressiya algoritmidan foydalanishni o\u27z ichiga oladi. Ilmiy ish ushbu innovatsion usul bilan bog\u27liq ilovalar, afzalliklar va qiyinchiliklar tahlilini o’z ichiga olgan. Xulosa sifatida, gibrid yondashuvlar va mashinani o\u27rganishni optimallashtirish kabi potentsial tadqiqot imkoniyatlarini ta\u27kidlab, texnologik innovatsiyalarni muvozanatli o\u27rganish va kiber-xavfsizlik sohasida mas\u27uliyatli foydalanish muhimligini keltirib o’tamiz
GIBRID ENERGIYA TA’MINOTI MANBALARINING BOSHQARUV VA MONITORING VOSITALARI
No full textUshbu maqolada gibrid energiya manbalaridan foydalanish orqali istemolchilarning enrgiya ta’minoti uzluksizligini ta’minlash, atrof muhit muxofazasi va energiya ishlab chiqarish uchun sarf xarajatni minimallashtirish masalasi qo‘yilgan bo‘lib, har bir energiya ta’minoti manbasidan olinayotgan signallarga ishlov berishning energiya tejamkor usuli ishlab chiqishni ko‘zda tutadi. Shu maqsadda Quyosh, shamol, akkumliyator batareyasidan foydalangan holda atrof muhit muxofazasi va sarf harajatni minimallashtirilgan bo‘lib, gibrid tizimga markazlashgan energiya ta’minoti tizimi va dizel generatorlarini qo‘shish orqali uzluksiz energiya ta’minoti modeli taklif etilgan
ELLIPTIK EGRI CHIZIQLARNING KRIPTOGRAFIYADA QO‘LLANILISHI
No full textMazkur maqolada ochiq kalitli kriptotizimlar asosini tashkil qiluvchi murakkabliklarga asoslangan masalalar, ushbu murakkabliklarga asoslangan asimmetrik algoritmlar, elliptik egri chiziqlar hamda chekli maydonda ularning ratsional nuqtalarini aniqlash masalalari yoritilgan. Shuningdek, ushbu murakkablikka asoslangan EC DSA 2000 ERI standartida imzoni generatsiya qilish va tekshirish jarayoni hamda algoritmning korrektligi keltirilgan
OQIMLI SHIFRLASH ALGORITMLARI BARDOSHLILIGINI DIFFERENSIAL VA ALGEBRAIK KRIPTOTAHLIL USULLARI YORDAMIDA BAHOLASH
No full textMazkur maqolada shifrlash algoritmlari bardoshliligi masalalari, oqimli shifrlash nazariyasi va oqimli shifrlash algoritmlariga nisbatan qo‘llaniladigan ayrim kriptotahlil usullari, xususan, differensial hamda algebraik kriptotahlil usullarining qo‘llanilishi ikkita siljish registrlaridan iborat sodda oqimli shifrlash algoritmlari misolida yoritib berilgan
STRENGTHENING DATA SECURITY AND COMPLIANCE IN UZBEKISTAN’S IT PROJECTS THROUGH IMPROVED DOCUMENTATION PRACTICES
No full textStarting and managing IT projects in Uzbekistan isn\u27t easy, especially when it comes to keeping data safe and following the rules. There are lots of problems, like trying to keep all the paperwork consistent and worrying about data breaches and breaking the rules. But there are solutions out there. By using better ways to keep track of documents that work well in Uzbekistan, we can tackle these problems. This article is all about pointing out these issues, offering simple fixes, and making sure IT projects in Uzbekistan are safer and follow the rules in today\u27s digital world
TASVIRNI RAQAMLI QAYTA ISHLASH MODELLARI ASOSIDA KOʻKRAK BEZI SARATONINI ERTA DIAGNOSTIKA QILISH VA BASHORAT QILISH TIZIMINI ISHLAB CHIQISH
No full textUshbu maqolada tasvirni raqamli qayta ishlash modellari asosida koʻkrak bezi saratonini erta diagnostika qilish va bashorat qilish tо‘g‘risidagi tadqiqotlar va ishlar haqida sо‘z yuritiladi. Kо‘krak bezi saratoni butun dunyo bо‘ylab ayollar о‘limining asosiy sabablaridan biridir chunki butun dunyo bо‘ylab tashxis qо‘yilgan malign lezyonlarning 16 foizi uning natijasidir. Shu ma’noda, omon qolishning eng yuqori imkoniyatlariga ega bо‘lish uchun ushbu lezyonlarni imkon qadar erta bosqichda tashxislash juda muhimdir. Tasvirga ishlov berish tibbiyotning turli sohalarida keng qо‘llaniladigan metodologiyadir. tasvirni raqamli qayta ishlash ba’zi foydali ma’lumotlarni olish uchun tasvirlar ustida ba’zi operatsiyalarni bajarishni о‘z ichiga oladi. Tasvirni tahlil qilish vaqt omili juda muhim bо‘lgan turli xil saratonlarni erta aniqlashda juda foydali. Dunyo bо‘ylab kо‘krak bezi saratoni bilan kasallanganlar soni ortib bormoqda. Agar kasallik dastlabki bosqichlarda aniqlansa, uni davolash mumkin. О‘simtani tо‘g‘ri aniqlash uchun juda kо‘p tadqiqotlar о‘tkazilgan ammo haligacha 100% aniq usul topilmagan. Raqamli tasvirni raqamli qayta ishlash yordamida kо‘krak bezi saratonini aniqlash bо‘yicha tadqiqotlar o‘tkazish yangilik emas ammo о‘simta hududini aniq bashorat qilish uchun ushbu sohada kо‘plab yangi yondashuvlar kо‘rib chiqilmoqda. Hozirgi yondashuv о‘simta hududini vizual ravishda aniqlash, shuningdek, о‘simta asosan qaysi hududda joylashganligini aniqlashdir