AI-Driven IoT Solutions for Urban Pollution Monitoring
DOI:
https://doi.org/10.22105/siot.v1i3.217Keywords:
Artificial intelligence, Internet of things, Pollution monitoring, Urban environment, Data analysis, Predictive modelingAbstract
Urban pollution is a growing problem that affects public health, the quality of the environment, and living conditions in cities. Conventional methods of monitoring pollution often do not provide real-time data or predictive insights, which hampers effective responses. The integration of Artificial Intelligence (AI) with the Internet of Things (IoTs) presents an innovative solution for monitoring urban pollution through cutting-edge sensors, data analysis, and forecasting techniques. This paper investigates the structure, application, and success of AI-enhanced IoTs systems for real-time pollution monitoring in urban environments. Results indicate that these systems facilitate proactive management of pollution, enhance urban planning, and increase public engagement, making them vital resources for tackling pollution issues in cities around the globe.
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