ARCHITECTURE AND METHODS AND ALGORITHMS FOR PROCESSING DATA OBTAINED FROM IOT SENSORS
DOI:
https://doi.org/10.47390/ts-v3i8y2025No1Keywords:
IoT sensors, data architecture, intelligent analysis, machine learning, deep learning, predictive models, algorithmic efficiency, artificial intelligenceAbstract
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
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