A review of modern scientific research on smart environment infrastructure and decision support models
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Abstract
This article analyzes modern scientific research conducted in the field of Smart Environment infrastructure and examines existing approaches to the development of decision support models. In recent years, due to the rapid advancement of the Internet of Things (IoT), artificial intelligence, sensor networks, cloud and edge computing technologies, the concept of Smart Environment has been widely applied across various domains. Smart Environment infrastructure is a complex and multi-component system in which automated control and decision-making processes are carried out based on the collection, processing, and analysis of large volumes of data. The research results indicate that most existing approaches do not sufficiently address the dynamic characteristics of Smart Environment infrastructure, flexible management of network resources, and efficient real-time decision-making.
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