ARCHITECTURE AND METHODS AND ALGORITHMS FOR PROCESSING DATA OBTAINED FROM IOT SENSORS

Kho'jaev , Otabek, Ruzmetova , Zilola

Techscience.uz - техника фанлари долзарб масалалри · 2025-yil

Annotatsiya

This paper provides an in-depth overview of the architecture of data collected from IoT sensors, focusing on preprocessing stages and algorithmic approaches for intelligent analysis. The processes of acquisition, transmission, storage, cleaning, and normalization are examined, alongside real-time predictive systems. Integrating architectural frameworks with artificial intelligence and machine learning techniques significantly improves data processing efficiency and strengthens the resilience of IoT systems under dynamic conditions, offering both theoretical contributions and practical applications

Maqola ma’lumotlari
MualliflarKho'jaev , Otabek, Ruzmetova , Zilola
JurnalTechscience.uz - техника фанлари долзарб масалалри
Nashr sanasi2025-10-11
Jild3
Son8
Betlar4-8
TilO‘zbek
DOI10.47390/ts-v3i8y2025no1

Kalit so‘zlar

IoT sensors, data architecture, intelligent analysis, machine learning, deep learning, predictive models, algorithmic efficiency, artificial intelligence, IoT sensorlari, ma’lumotlar arxitekturasi, intellektual tahlil, mashinaviy o‘qitish, chuqur o‘rganish, bashorat modellari, algoritmik samaradorlik, sun’iy intellekt

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