This article analyzes the effectiveness of artificial intelligence (AI) algorithms in processing real-time data streams. The aim of the study is to determine the effectiveness of various AI approaches, machine learning, deep neural networks, and augmented learning algorithms in processing real-time data streams. The article discusses the specifics of data streams, sensor data collection, noise filtering, and decision-making processes. Real-time AI algorithms enable the analysis of data flows, increasing system response speeds, and efficient use of resources. The results of the study provide practical recommendations for industrial robots, autonomous vehicles, and smart manufacturing systems
| Mualliflar | Эргашев, Отабек, Исмоилов , Исломжон |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2025-12-23 |
| Son | 4 |
| Betlar | 237-242 |
| Til | Rus |
Искусственный интеллект (ИИ), Системы реального времени, потоки данных, Машинное обучение, Глубокие нейронные сети, Обучение с подкреплением, интеграция датчиков, Алгоритмы принятия решений, Анализ эффективности, Artificial Intelligence (AI), Real-time systems, Data streams, Machine learning, Deep neural networks, Reinforcement Learning, sensor integration, Decision Making Algorithms, Performance analysis, Sun’iy intellekt (AI), Real vaqt tizimlari, Data streamlar, Mashinani o‘rganish, Chuqur neyron tarmoqlar, Reinforcement Learning, Sensor integratsiyasi, Qaror qabul qilish algoritmlari, Samaradorlik tahlili
This article analyzes the architecture, operational mechanisms, and practical effectiveness of the main secure communication protocols used in modern video surveillance systems: TLS/HTTPS, SRTP, and ONVIF Security. It…
The smart lighting market has been steadily growing due to the development of smart homes and smart cities. Modern intelligent lighting systems rely on wireless communication protocols such as ZigBee, LoRaWAN, BLE, and…
The problem of constructing equations representing the geometry of a sphere of complex configuration prismatic bodies with a circular cavity based on the R-function method is analyzed. The external and internal…
This article analyzes real-time artificial intelligence (AI) solutions in autonomous systems and robotics. The research focuses on rapid data processing, real-time analysis of sensor signals, and decision-making…
This paper proposes a method for automatically transforming an irrigation network from KML/KMZ files prepared in Google Earth into a computationally ready directed graph. The method involves reading the KML structure…
This article analyzes the role of intuitive UX design in reducing cognitive overload on digital learning platforms. The research is based on cognitive psychology, user experience (UX) theory and information processing…
Modeling processes and objects is a very complex problem, the theoretical basis of which includes existing natural laws. Knowledge and consideration of these laws and the main properties of the objects of study allow us…
This article provides an in-depth analysis of the impact of user experience (UX) design on the learning process in higher education platforms. The study evaluates the factors of ease of navigation, visual structure…
In today's era of developing information technologies, the correct storage, processing and management of data is an important factor for any organization. Especially in higher education institutions, the annual growth…
This article examines how economic diversification supports regional growth and stability in Oltiariq District (Fergana Region, Uzbekistan). Using official secondary statistics for 2010–2025, we compute sectoral…