EdgeAI: How to Use AI to Collect Reliable and Relevant Watershed Data
crossref(2021)
摘要
Focal Area(s): Focal areas are on data acquisition and assimilation enabled by AI, advanced methods including experimental/network design/optimization, unsupervised learning (including deep learning), and hardware-related efforts involving AI (e.g., edge computing). Science Challenge: The transformational science challenge that we address is the following: – Ensuring, in near real-time, that the data collected from distributed sensor networks is accurate and contains useful information to identify, quantify, and predict watershed and ecosystem dynamic responses to short- and long-term perturbations.
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关键词
Change Detection,Scientific Workflows,Ensemble Learning,Data Streams
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