Xiang Ren

Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City

Advances in Deep Learning Applications for Plant Disease and Pest Detection: A Review

Flexible Bayesian Ensemble Machine Learning Framework for Predicting Local Ozone Concentrations

Comparison of Machine Learning and Land Use Regression for fine scale spatiotemporal estimation of ambient air pollution: Modeling ozone concentrations across the contiguous United States