Abstract: Internet of Things (IoT) technology quickly trans-formed traditional management and engagement techniques in several sectors. This work explores the trends and applications of the Internet of Things in industries, including agriculture, education, transportation, water management, air quality monitoring, underground mining, smart retail, smart home systems, and weather forecasting. The methodology involves a comprehensive review of the literature, followed by data extraction and analysis using BERT to identify key insights and patterns in IoT applications. The findings show that IoT significantly impacts the improvement of real-time monitoring, increasing efficiency, and encouraging innovative solutions in various sectors. Despite its transformative potential, cybersecurity threats, data privacy concerns, and the need for strong policy frameworks persist. The study emphasizes the necessity of multidisciplinary approaches to address these difficulties and optimize IoT implementation. Future research should focus on establishing secure IoT systems, maintaining data integrity, and encouraging collaboration between disciplines to realise the benefits of IoT technology.

Bassma Saleh Alsulami, “Knowledge Discovery of the Internet of Things (IoT) Using Large Language Model” International Journal of Advanced Computer Science and Applications(IJACSA), 16(4), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160496

@article{Alsulami2025,
title = {Knowledge Discovery of the Internet of Things (IoT) Using Large Language Model},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160496},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160496},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {4},
author = {Bassma Saleh Alsulami}
}