OJS Tashkent State University of Economics
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ИҚТИСОДИЁТДА BIG DATA ТЕХНОЛОГИЯСИНИ ҚЎЛЛАШ ИСТИҚБОЛЛАРИ
Мақолада иқтисодиётда катта маълумотлар технологиясини қўллаш тахлили ва уни такоммилаштириш масалари кўриб чиқилган. Статистик маълумотлар ва таҳлилий шарҳлар, тадқиқот мавзуси бўйича Ўзбекистон ва хорижий илмий нашрларда чоп этилган мақолалардан фойдаланилган.. Бундан ташқари катта маълумотларни иқтисодиётда қўлланилиши асосий муаммолари кўрсатилган
THE ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING QUALITY MANAGEMENT AND COMPETITIVENESS IN DYNAMIC MARKETS
This article investigates the impact of artificial intelligence (AI) on quality management in the context of rapid market development and increased competition. It explores the organisational and economic implications of incorporating quality management systems into business strategies, with a focus on adherence to standards like ISO 9001. The impact of AI on product quality, competitiveness, and decision-making is examined. Key contributions include adjusting organisational models to meet quality requirements and analysing economic indicators in management
TOVUSH VA TASVIRLARNI BIRLASHTIRIB SUPER-RESOLUTION UCHUN YANGI GENERATIV MODEL YARATISH
Ushbu maqolada tovush (audio) va tasvir (image) ma\u27lumotlarini birlashtirish orqali super-resolution (SR) uchun yangi generativ modelni yaratish taklif qilinadi. Mazkur yondashuv multimodal ma’lumotlardan foydalanib, past aniqlikdagi tasvir va tovushlardan yuqori sifatli natijalar olish imkonini beradi. Ushbu model tovush va tasvir xususiyatlarini chuqur neyron tarmoqlar orqali ajratib, birlashtiruvchi modul yordamida yuqori aniqlikdagi tasvirni qayta tiklash imkoniyatini beradi. Yondashuvning nazariy asosi, texnik tafsilotlari va eksperimental natijalari muhokama qilinadi
ANALYSIS OF MONITORING AND MANAGEMENT METHODS FOR ENERGY SUPPLY SOURCES
Efficient energy management is a crucial factor in the operation of a system. Today, many systems cannot effectively function without an uninterrupted power supply. Ensuring the continuity and reliability of electrical energy is essential in monitoring, analyzing, and managing energy consumption. By continuously monitoring energy supply sources and improving automatic control methods, it is possible to enhance energy efficiency and ensure uninterrupted power supply. Therefore, this research analyzes the methods of monitoring and managing electrical energy supply sources
WEB3 TECHNOLOGIES ADVANTAGES AND DIFFERENCES FROM WEB1, WEB2 TECHNOLOGIES
This article analyzes Web3 technologies, their advantages and differences from previous generations of web technologies – Web1 and Web2. Web3 represents a new era of the Internet, which emphasizes decentralization, security and user control over data. The article discusses key aspects of Web3, such as blockchain, smart contracts and decentralized applications (dApps). It also discusses the disadvantages of Web1 and Web2, including a centralized structure and limited user control
FACIAL EMOTION RECOGNITION USING SHALLOW CONVOLUTIONAL NEURAL NETWORK AND IMPROVED FER-2013 DATASET
It is very easy and simple for a person to sense his inner feelings by looking at his face. That is, in the process of evaluating the emotional state of the person standing in front of him, the human brain sees the facial structure of the other person and can quickly analyze it. However, the ability of a computer to understand and respond to human emotions is considered one of the most difficult problems in the fields of modern computer vision and deep learning. Despite the fact that many studies have been carried out on the evaluation of the emotional state of a person, the proposed solutions are not effective enough. Several convolutional neural network models developed in this field can also solve the problem in a rather narrow scope. In this article, we proposed a shallow convolutional neural network and an augmented and improved fer-20103 dataset in order to speed up the training process and improve previous results. The proposed architecture was tested and analyzed on an updated dataset
KOMPYUTER TOMOGRAFIYASI TASVIRLARI ASOSIDA TASHXISLASH ALGORITIMLARI VA DASTURIY VOSITASINI YARATISH
Kompyuter tomografiyasi (KT) tibbiy diagnostikada keng qo\u27llaniladigan samarali tasvir olish texnologiyasidir. Ushbu maqolada KT tasvirlari asosida tashxislash uchun algoritmlar va dasturiy vositalarni yaratish masalalari ko\u27rib chiqiladi. KT tasvirlarini qayta ishlash, analiz qilish va diagnostik yordam beruvchi tizimlarni yaratish, tibbiyotda tezkor va aniqlik bilan tashxis qo\u27yish imkonini beradi. Maqolada tasvirlarni tahlil qilishda qo\u27llaniladigan zamonaviy algoritmlar, sun\u27iy intellekt va mashina o\u27rganish metodlari, shuningdek, bu texnologiyalarni tibbiy amaliyotda qo\u27llashdagi muvaffaqiyatlar va qiyinchiliklar haqida so\u27z yuritiladi. KT tasvirlarini avtomatik tarzda tahlil qilish, kasalliklarni erta aniqlashda va davolash jarayonini optimallashtirishda katta ahamiyatga ega bo\u27lishi mumkin
IMO-ISHORA TILINI TANIB OLISH: USULLAR VA MODELLAR TAHLILI
Ushbu maqolada imo-ishora tilini elektromiografik signallari asosida tanib olish sohasidagi asosiy usullar va modellar tahlil qilinib, imo-ishora tilining turli modellari va ularning o‘zaro farqlari batafsil ko‘rib chiqilgan. Shuningdek, EMG signallarini qayd etuvchi qurilmalar tasnifi keltirilib, ularning texnik xususiyatlari taqqoslangan. Maqola doirasida imo-ishora tilini tanib olishga oid ilmiy adabiyotlarning yillar kesimidagi rivojlanishi tahlili amalga oshirilgan. EMG orqali imo-ishora tilini tanib olish metodlarining qo‘llanilishi tahlili ushbu sohaning zamonaviy tendensiyalarini ko‘rsatadi. Mazkur tahlillar imo-ishora tilini tanib olishda samarali modellarni aniqlash va ularni real amaliyotga tatbiq etishda muhim ilmiy asos yaratadi
ВЕТЕРИНАРИЯ ЯГОНА АХБОРОТ ТИЗИМИНИ ИШЛАБ ЧИҚИШДА РАҚАМЛИ ИНТЕГРАЦИЯ
Ушбу мақолада Ветеринария ягона ахборот тизимини ишлаб чиқиш жараёнлари ҳақида фикр юритилган бўлиб, унда ахборот тизимнинг модуллари, улар орасидаги муносабатлар, ахборот тизимини ишлаб чиқишда фойдаланилган технологиялар ва рақамли трансформация имкониятлари ёритилган
РОЛЬ МЕДИА ИМИДЖА В ТРАНСФОРМАЦИИ И ФИНАНСИРОВАНИИ ИМИДЖА ВЫСШИХ УЧЕБНЫХ ЗАВЕДЕНИЙ УЗБЕКИСТАНА: СТРАТЕГИИ, ВЫЗОВЫ И ПЕРСПЕКТИВЫ
В статье рассматривается важная роль современных медиа в развитии системы высшего образования Узбекистана. Автор, основываясь на статистических данных, проводит анализ стремительного процесса цифровизации и его влияния на деятельность высших учебных заведений. В условиях глобальной цифровой трансформации медиа становятся ключевым инструментом оперативного и эффективного донесения информации до широкой аудитории. Особое внимание уделяется взаимосвязи между мультимедийным имиджем университетов и их позициями в международных рейтингах. Подчеркивается, что для успешного продвижения образовательных учреждений на мировом уровне необходимо сильное присутствие в медиапространстве. Статья акцентирует значимость мультимедийного имиджа как важного фактора повышения конкурентоспособности и укрепления позиций системы высшего образования