Tag: Boosting (machine learning)
Lightweight models achieved strong cloud masking accuracy
—
What the study found Lightweight machine learning models for cloud and cloud shadow masking in hyperspectral satellite imaging reached accuracies above 93%. The CNN with feature reduction was the most efficient model in the study, combining high accuracy, low storage needs, and fast inference. Why the authors say this matters The authors say these results…
Machine-learning models identified key drivers of tuberculosis incidence in Taiwan
—
in MedicineMachine learning analysis of environmental and socioeconomic determinants of tuberculosis incidence in Taiwan, identifying key drivers and nonlinear relationships for disease forecasting.
