Dynamic Background Subtraction Using Histograms Based on Fuzzy C-Means Clustering and Fuzzy Nearness Degree. - Tianming Yu; Jianhua Yang 001; Wei Lu 005 (IEEE Access, 2019)

Combining Background Subtraction and Convolutional Neural Network for Anomaly Detection in Pumping-Unit Surveillance. - Tianming Yu; Jianhua Yang 001; Wei Lu 005 (Algorithms, 2019)

Refinement of Background-Subtraction Methods Based on Convolutional Neural Network Features for Dynamic Background. - Tianming Yu; Jianhua Yang 001; Wei Lu 005 (Algorithms, 2019)

A Video Stitching System of Underwater Image. - Zhenyu Wang; Haoming Wu; Tianming Yu; Mengqin Fu; Bernie Liu; Jieren Cheng; Quanfeng Ye; Ni Zhang; Shuo Huang; Xingyue Lu; Xiulai Li; Kai Lu; et al. (HPCC/DSS/SmartCity/DependSys, 2021)

Modeling time series by aggregating multiple fuzzy cognitive maps. - Tianming Yu; Qunfeng Gan; Guoliang Feng (PeerJ Comput. Sci., 2021)

Dynamic Byzantine Broadcast in Asynchronous Message-Passing Systems. - Jing Li; Tianming Yu; Ye Wang 017; Roger Wattenhofer (IEEE Access, 2022)

A new fuzzy cognitive maps classifier based on capsule network. - Tianming Yu; Qunfeng Gan; Guoliang Feng; Guangxin Han (Knowl. Based Syst., 2022)

A Deep Learning-Based Algorithm for Identifying Precipitation Clouds Using Fengyun-4A Satellite Observation Data. - Guangyi Ma; Jie Huang; Yonghong Zhang; Linglong Zhu; Kenny Thiam Choy Lim Kam Sian; Yixin Feng; Tianming Yu (Sensors, 2023)

Interval-valued prediction of time series based on fuzzy cognitive maps and granular computing. - Tianming Yu; Qianxin Li; Ying Wang; Guoliang Feng (Neural Comput. Appl., 2024)