A Novel Semi-Supervised Method of Electronic Nose for Indoor Pollution Detection Trained by M-S4VMs. - Tailai Huang; Pengfei Jia; Peilin He; Shukai Duan 001; Jia Yan; Lidan Wang 001 (Sensors, 2016)

A Novel Semi-Supervised Electronic Nose Learning Technique: M-Training. - Pengfei Jia; Tailai Huang; Shukai Duan 001; Lingpu Ge; Jia Yan; Lidan Wang 001 (Sensors, 2016)

A Novel Pre-Processing Technique for Original Feature Matrix of Electronic Nose Based on Supervised Locality Preserving Projections. - Pengfei Jia; Tailai Huang; Li Wang 097; Shukai Duan 001; Jia Yan; Lidan Wang 001 (Sensors, 2016)

A Novel Optimization Technique to Improve Gas Recognition by Electronic Noses Based on the Enhanced Krill Herd Algorithm. - Li Wang 097; Pengfei Jia; Tailai Huang; Shukai Duan 001; Jia Yan; Lidan Wang 001 (Sensors, 2016)

Generating 1 km Spatially Seamless and Temporally Continuous Air Temperature Based on Deep Learning over Yangtze River Basin, China. - Rui Li; Tailai Huang; Yu Song; Shuzhe Huang; Xiang Zhang 002 (Remote. Sens., 2021)

Deep Learning-Based 500 m Spatio-Temporally Continuous Air Temperature Generation by Fusing Multi-Source Data. - Xiang Zhang 002; Tailai Huang; Aminjon Gulakhmadov; Yu Song; Xihui Gu; Jiangyuan Zeng; Shuzhe Huang; Won-Ho Nam; Nengcheng Chen; Dev Niyogi (Remote. Sens., 2022)