TeaNet: Deep learning on Near-Infrared Spectroscopy (NIR) data for the assurance of tea quality. - Jingru Yang; Jin Wang 015; Guodong Lu; Shaomei Fei; Ting Yan; Cheng Zhang; Xiaohui Lu; Zhiyong Yu 003; Wencui Li; Xiaolin Tang (Comput. Electron. Agric., 2021)

Energy consumption forecasting for laser manufacturing of large artifacts based on fusionable transfer learning. - Linxuan Wang; Jinghua Xu; Shuyou Zhang 001; Jianrong Tan; Shaomei Fei; Xuezhi Shi; Jihong Pang; Sheng Luo 003 (Vis. Comput. Ind. Biomed. Art, 2024)