OJS Tashkent State University of Economics
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SAYYOHLAR TAJRIBASINI OSHIRISHDA INNOVATSION TEXNOLOGIYANING ROLI
No full text Sanoat va jamiyatni raqamlashtirish va ekologik transformatsiya qilish sharoitida texnologik innovatsiyalarni qo‘llash imkoniyatlari va ularning turizm sohasiga ta’sirini o‘rganish tadqiqot mavzusiga aylanib bormoqda. Turizmni rivojlantrishda innovatsion texnologiylar ta’siri, turizm sohasida innovatsion texnologiyalarning ahamiyati, ulardan samarali foydalanish yo‘llari va o‘zgarish dinamikasi ko‘rib chiqilgan. Xalqaro reytinglardan foydalangan holda, sohani rivojlantirish uchun mobil texnologiyalarni qo‘llash imkoniyatlari haqida fikrlar aytib o‘tilgan
TIBBIYOT SOHASI AXBOROT TIZIMLARIDA OʻXSHASH TASHXISLARNI TOPISH UCHUN BAHOLARNI HISOBLASH ALGORITMINI QOʻLLASH USULI
No full textMazkur maqolada tibbiyot sohasi axborot tizimlari ma’lumotlar bazasi asosida ma’lumotlarni intellektual tahlili masalalaridan biri boʻlgan ranjirlash masalasini yechish qarab chiqilgan. Ranjirlash masalasini umumiy holda matematik qoʻyilishi keltirib oʻtilgan va yechish uchun mavjud boʻlgan RankBoost, RankSVM, IR-SVM algoritmlari tahlil qilingan hamda qaysi sohalarda qoʻllanilishi aytib oʻtilgan. Shu bilan bir qatorda evristik usullardan hisoblangan neyron toʻrining toʻgʻri taqsimlangan neyron toʻri modelini qoʻllab, ranjirlash masalasini yechishni ustun va kamchilik jihatlari keltirib oʻtilgan. Undan tashqari klassifikasiya(tasniflash) masalasini yechish uchun ishlab chiqilgan olti bosqichli baholarni hisoblash algoritmini dastlabki uchta bosqichidan foydalangan holda ranjirlash masalasini yechish orqali oʻxshash tashxislarni topishda qoʻllanilgan va natijalar olingan. Olingan natijalar tibbiyot sohasi axborot tizimi ma’lumotlar bazasi ma’lumotlari asosida tekshirilgan va algoritm ishonchliligi solishtrilgan. Baholarni hisoblash algoritmini ranjirlash masalasini yechish uchun moslashtrilgan variantini blok sxemasi keltirib oʻtilgan
EMPLOYMENT OF UNIVERSITY GRADUATES IN THE LABOR MARKET
No full textThe article notes that the modern labor market is characterized by the accelerated dynamics of transformational changes associated with the ongoing processes of adaptation of the economy to global challenges on a national and global scale, in the conditions of digitalization of the economy, the rapid development of new technologies, including in the interests of ensuring import substitution, the transformation process is accelerating professional competencies necessary for the implementation of the labor process,in connection with which the requirements of employers for applicants for available vacancies are constantly changing, which contributes to increased competition in the labor market, in which university graduates occupy far from leading positions, employment is becoming one of the acute problems of the modern labor market, characterized by the development of contradictory trends, on the one hand, employers report a shortage of qualified personnel, and, on the other hand, there is unemployment among university graduates who cannot find a job for several years after graduation
OFFICIAL SOCIAL RELATIONS IN UNIVERSITY GRADUATES’ ADAPTATION TO THE LABOR MARKET
No full textThe selection of students’ informal (friendly) social connections as a significant determinant influencing their adaptation to the labor market is justified by the challenges of combining the concepts of social capital and network analysis; the reasons for the insufficient efficiency of interaction between the labor market and the higher education institution in the context of a multi-level system of professional training are systematized; three categories of elements have been identified as contributing to the establishment of students’ social networks, as well as the usual structure of these networks when they are studying together. The factors that influence choosing between pursuing a master’s degree and starting a career after earning a bachelor’s degree have been recognized as components of the process of labor market adaption
APPLICATION OF THE RANDOM FOREST ALGORITHM FOR EARLY DETECTION OF LAMENESS IN DAIRY COWS
No full textThis study explores the application of pedometers as a tool for the early detection of lameness in dairy cattle. By continuously monitoring cattle activity through pedometer data, including step count, distance traveled, and other physical activity parameters, we aim to develop a machine learning-based system capable of identifying early signs of lameness. The research highlights the advantages of using pedometers attached to the legs of cattle, which offer more accurate data collection compared to other wearable devices
COMPARATIVE ANALYSIS OF FACE RECOGNITION ALGORITHMS FOR AUTOPROCTORING: EIGENFACES, FISHERFACES, CNNS, AND YOLO
No full textAuto proctoring, leveraging automated surveillance technologies, has emerged as a solution to monitor online examinations in educational settings. However, its efficacy and ethical implications remain subject to scrutiny. This scientific article presents a thorough investigation into the effectiveness and ethical considerations surrounding auto proctoring systems. Through a review of existing literature and empirical analysis, we aim to provide insights into the benefits, limitations, and ethical challenges associated with the widespread adoption of auto proctoring in educational assessment. Our findings underscore the need for a balanced approach that ensures both academic integrity and student privac
SHAXSNI OVOZI ASOSIDA TANIB OLISH USULLARI
No full textTurli tillar uchun shaxsni ovozi asosida tanib olish tadqiqotchilar uchun hali ham katta muammo boʻlib qolmoqda. Agar nutq namunasining talaffuzi kamroq boʻlsa, identifikatsiya tezligining aniqligi katta muammodir. Ushbu maqola mel-chastotali kepstral koeffitsientlar (MFCC) belgilar to‘plamini ajratish algoritmi va Gauss aralashma modeli (GMM) modellashtirish algoritmi yordamida shaxsni ovozi asosida tanib olishga qaratilgan
DISCRITING NON-CONTINUOUS IMAGES
No full textIn the article reviewed discriting non-continuous images sampling and uniform quantization of brightness based on the use of a rectangular raster are practiced. When analyzing images or recognizing objects in it, the above symbols can be used. If we pay attention, not all of these signs are easily identified. In particular, it is required to identify (or isolate) the various geometric shapes that belong to the family of curves, to trace the location coordinate (position) of a particular type of sign, and to solve similar issues. This requires the effective use of existing methods and the development of new methods and algorithms when necessary
АСИМПТОТИЧЕСКОЕ И ЧИСЛЕННОЕ РЕШЕНИЕ ПОЛУЛИНЕЙНОЙ СИСТЕМЫ ЗАДАЧИ ТЕПЛОПРОВОДНОСТИ С ПОГЛОЩЕНИЕМ ПРИ КРИТИЧЕСКОМ ПАРАМЕТРЕ
No full textВ данной работе мы изучаем асимптотическое поведение (при ->oo) решений системы полулинейной задачи теплопроводности с поглощением при критическом параметре. Асимптотика была установлена с использованием метода эталонных уравнений. Доказательства проводились с помощью метода сравнения решений и принципа максимума. Для численных расчетов в качестве начального приближения мы использовали основанную на длительном времени асимптотику решени
LARGE VОLUME ECG SENSОR DATA CLASSIFICATIОN AND ASSОCIATIОN RULES
No full textThis paper explоres the classificatiоn оf large vоlumes оf electrоcardiоgram (ECG) sensоr data using machine learning techniques. The aim is tо develоp an accurate and efficient system fоr categоrizing ECG signals intо different classes based оn their features. Furthermоre, the study investigates the use оf assоciatiоn rules tо uncоver patterns and relatiоnships between different ECG classes. The prоpоsed system utilizes variоus algоrithms and techniques, including decisiоn trees, suppоrt vectоr machines, and randоm fоrests, tо classify ECG data. The results indicate that the prоpоsed system achieves high accuracy and can effectively classify large vоlumes оf ECG data. Additiоnally, the use оf assоciatiоn rules prоvides valuable insights intо the relatiоnships between different ECG classes, which can aid in the diagnоsis and treatment оf cardiоvascular diseases