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A hybrid deep learning approach to predict hourly riverine nitrate concentrations using routine monitored data.
Journal of environmental management
May 10, 2024
With high-frequency data of nitrate (NO-N) concentrations in waters becoming increasingly important for understanding of watershed system behaviors and ecosystem managements, the accurate and economic acquisition of high-frequency NO-N concentration ...
Evaluation of an Artificial Intelligence-Augmented Digital System for Histologic Classification of Colorectal Polyps.
JAMA network open
Nov 1, 2021
IMPORTANCE: Colorectal polyps are common, and their histopathologic classification is used in the planning of follow-up surveillance. Substantial variation has been observed in pathologists' classification of colorectal polyps, and improved assessmen...
A spatio-temporal prediction model based on support vector machine regression: Ambient Black Carbon in three New England States.
Environmental research
Sep 18, 2017
Fine ambient particulate matter has been widely associated with multiple health effects. Mitigation hinges on understanding which sources are contributing to its toxicity. Black Carbon (BC), an indicator of particles generated from traffic sources, h...
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