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РецензированоEN2025

TECHNICAL ASPECTS OF CREATING AN EFFECTIVE PROGRAM FOR IOT DEVICES WITH ARTIFICIAL INTELLIGENCE IN PYTHON

Qurbonov Behruz Amrulloyevich · Muxtorov Maqsudbek Sherzodbek o‘g‘li

Журнал инноваций нового века · 296-300 · 2025

Аннотация

Abstract: The Internet of Things (IoT) has transformed industries by enabling interconnected devices to collect, process, and share data in real-time. When integrated with Artificial Intelligence (AI), IoT devices can perform intelligent tasks such as predictive maintenance, anomaly detection, and automated decision-making. Python, with its extensive libraries like TensorFlow, scikit-learn, and paho-mqtt, is a powerful language for developing AI-driven IoT programs. However, creating effective programs for IoT devices involves addressing technical challenges such as resource constraints, real-time processing, and security. This article explores the technical aspects of developing AI-driven IoT programs in Python, providing fresh methods, solutions to challenges, new mathematical formulations, and novel algorithms to ensure efficient and secure implementations.

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«Abstract: The Internet of Things (IoT) has transformed industries by enabling interconnected devices to collect, process, and share data in real-time.»

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Abstract: The Internet of Things (IoT) has transformed industries by enabling interconnected devices to collect, process, and share data in real-time. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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Keywords: Internet of Things (IoT), Artificial Intelligence (AI), TensorFlow, libraries : scikit-learn and paho-mqtt, real-time processing, security.
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