An Open Framework for Participatory PM2.5 Monitoring in Smart Cities. - Ling-Jyh Chen; Yao-Hua Ho; Hu-Cheng Lee; Hsuan-Cho Wu; Hao-Min Liu; Hsin-Hung Hsieh; Yu-Te Huang; Shih-Chun Candice Lung (IEEE Access, 2017)

Developing Land-Use Regression Models to Estimate PM2.5-Bound Compound Concentrations. - Chin-Yu Hsu; Chih-Da Wu; Ya-Ping Hsiao; Yu-Cheng Chen; Mu-Jean Chen; Shih-Chun Candice Lung (Remote. Sens., 2018)

Application of Machine Learning for the in-Field Correction of a PM2.5 Low-Cost Sensor Network. - Wen-Cheng Vincent Wang; Shih-Chun Candice Lung; Chun Hu Liu (Sensors, 2020)

Laboratory Evaluations of Correction Equations with Multiple Choices for Seed Low-Cost Particle Sensing Devices in Sensor Networks. - Wen-Cheng Vincent Wang; Shih-Chun Candice Lung; Chun Hu Liu; Chen-Kai Shui (Sensors, 2020)

Fusion of Environmental Sensing on PM2.5 and Deep Learning on Vehicle Detecting for Acquiring Roadside PM2.5 Concentration Increments. - Wen-Cheng Vincent Wang; Tai-Hung Lin; Chun Hu Liu; Chih-Wen Su; Shih-Chun Candice Lung (Sensors, 2020)

Demonstrating the Applicability of Smartwatches in PM2.5 Health Impact Assessment. - Ming-Chien Mark Tsou; Shih-Chun Candice Lung; Chih-Hui Cheng (Sensors, 2021)