Digital Technologies and Machine Learning in Environmental Hazard Monitoring: A Synthesis of Evidence for Floods, Air Pollution, Earthquakes, and Fires.

An important trend is the automation of data processing and the creation of open-source tools, which accelerates the adaptation of new methods in seismic practice. 3.4.

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In each of the research areas analyzed, a strong trend towards the integration of different data sources and the application of advanced analytical methods, including machine learning and deep learning, to improve the effectiveness of detection, forecasting, and early warning is discernible.

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There is a clear trend towards low-cost, scalable, real-time systems that also ensure high measurement accuracy.

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