Extreme Low Frequency Electromagnetic Field Stimulation Induces Metaplastic-Like Effects on LTP/ LTD. - Yu Zheng 026; Chunxiao Tian; Lei Dong; Xiaoxu Ma; Yang Gao 030; Chan Xiong; Kanghui Zhang; Chengshuang Li (IEEE Access, 2019)

Fine-grained object detection method using attention mechanism and its application in coal-gangue detection. - Ziqi Lv; Weidong Wang; Zhiqiang Xu; Kanghui Zhang; Yuhan Fan; Yang Song (Appl. Soft Comput., 2021)

Computer vision detection of foreign objects in coal processing using attention CNN. - Kanghui Zhang; Weidong Wang; Ziqi Lv; Yuhan Fan; Yang Song (Eng. Appl. Artif. Intell., 2021)

Intelligent recognition of gas-liquid two-phase flow based on optical image. - Shujuan Wang; Haofu Guan; Yuqing Wang; Kanghui Zhang; Yuntao Dai; Shouxu Qiao (Int. Arab J. Inf. Technol., 2023)

A multicenter study on two-stage transfer learning model for duct-dependent CHDs screening in fetal echocardiography. - Jiajie Tang; Yongen Liang; Yuxuan Jiang 013; Jinrong Liu; Rui Zhang; Danping Huang; Chengcheng Pang; Chen Huang; Dongni Luo; Xue Zhou; Ruizhuo Li; Kanghui Zhang; et al. (npj Digit. Medicine, 2023)

LKDPNet: Large-Kernel Depthwise-Pointwise convolution neural network in estimating coal ash content via data augmentation. - Kanghui Zhang; Weidong Wang; Ziqi Lv; Junda Feng; Huixuan Li; Chenglian Zhang (Appl. Soft Comput., 2023)

A high-confidence instance boundary regression approach and its application in coal-gangue separation. - Ziqi Lv; Weidong Wang; Kanghui Zhang; Rui Tian; Yonghan Lv; Meijie Sun; Zhiqiang Xu (Eng. Appl. Artif. Intell., 2024)

GFNet: A pioneering approach for precisely estimating ash content in coal through the fusion of graph convolution and feedforward network. - Kanghui Zhang; Weidong Wang; Yao Cui; Ziqi Lv; Yuhan Fan (Eng. Appl. Artif. Intell., 2024)