Pedestrian volume prediction with high spatiotemporal granularity in urban areas by the enhanced learning model

LightGBM: A Highly Efficient Gradient Boosting Decision Tree

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Scale-aware Fast R-CNN for Pedestrian Detection

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Computing, Computer Science, Computer Vision +6

A bi-directional missing data imputation scheme based on LSTM and transfer learning for building energy data

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Computing, Building Science, Data Science +14

Spatiotemporal Prediction of PM2.5 Concentrations at Different Time Granularities Using IDW-BLSTM

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Public Health, Environmental Sciences, Air Pollution +16

Identification of high impact factors of air quality on a national scale using big data and machine learning techniques

Jun Ma, Yuexiong Ding, Jack C.P. Cheng et al. · Journal of Cleaner Production · 2019 · 157 citations

Public Health, Environmental Engineering, Environmental Sciences +17