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Title	Using Ai And Machine Learning To Realize Information System Engineering Of Smart Cities: Accurate Weather Forecasting And Emergency Response
ID_Doc	60473
Authors	Ye J.; Masseran N.B.
Year	2025
Published	Journal of Machine and Computing, 5, 1
DOI	http://dx.doi.org/10.53759/7669/jmc202505050
Abstract	This paper discusses the contribution of AI and ML in the information systems of a smart city, particularly being concerned with enhancing the precision of weather forecasts and the effectiveness of emergency responses. Satellite imagery forms part of the complex data sets incorporated in the study, along with historical data regarding emergencies. The datasets were analyzed with the help of AI and ML models, such as LSTM and CNNs. Results show that the AI-based systems performed better than the traditional method, as it accounted for 92% of accuracy in short-range weather forecasting, while the legacy model only accounted for 78%. During extreme events such as heat waves and wildfires, AI models produced more timely and accurate warnings, cutting the response time for emergencies by as much as 25%. The paper also touches on broader implications of AI in relation to its potential and contribution toward the betterment of enhanced urban resilience, sustainability, and public safety. Although there are considerable merits with AI, the issues of data privacy and ethical concerns along with computational overheads pose challenges and drawbacks. Such a research effort is hoped to conclude in hybrid AI models and advanced IoT sensor networks as possibleF futures toward optimizing the smarts for smart city applications. ©2025 The Authors.
Author Keywords	Artificial Intelligence; Emergency Response Systems; Machine Learning; Smart Cities; Weather Forecasting

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