| index | Title |
| 31 | RCTUnet: a deep learning model for crop-residue-soil image segmentation and crop residue cover extraction Author(s):Ting LI, Yang LIU, Haikuan FENG, Meiyan SHU, Hao YANG, Yuanyuan FU, Xin XU, Yinghao LIN, Hongbo QIAO, Wei GUO, Xinming MA, Lei SHI, Jibo YUE Clicked:1711 Download:1606 Cited:0 <Full Text> <PPT> 809 Journal of Zhejiang University Science B 2026 Vol.27 No.5 P.517-536 DOI:10.1631/jzus.B2500451 |
| 32 | Deep learning-based phenology extraction and crop classification in arid oasis using Sentinel-2 time series Author(s):Chunli WANG, Jianan CHI, Xiao ZHANG, Nannan ZHANG Clicked:2176 Download:1378 Cited:0 <Full Text> <PPT> 1092 Journal of Zhejiang University Science B 2026 Vol.27 No.5 P.537-560 DOI:10.1631/jzus.B2500403 |
| 33 | TP-ViT: truncated uniform-log2 quantizer and progressive bit-decline reconstruction for vision Transformer quantization Author(s):Xichuan ZHOU, Sihuan ZHAO, Rui DING, Jiayu SHI, Jing NIE, Lihui CHEN, Haijun LIU Clicked:652 Download:505 Cited:0 <Full Text> <PPT> 0 Journal of Zhejiang University Science 2026 Vol.27 No.1 P.1-12 DOI:10.1631/ENG.ITEE.2025.0081 |
| 34 | CdualTAL: multi-domain tool wear prediction using a dual-channel Transformer and cross-attention network Author(s):Na LI, Zhendong LIU, Xiao WANG, Jiamin JIANG, Yanjie WEI Clicked:1756 Download:460 Cited:0 <Full Text> <PPT> 680 Journal of Zhejiang University Science 2026 Vol.27 No.2 P.1-13 DOI:10.1631/ENG.ITEE.2025.0111 |
| 35 | An approach to characterizing the power system security region by integrating distributionally robust optimization and Transformer-based deep learning Author(s):Yuekai CHEN, Zhejing BAO, Miao YU Clicked:610 Download:454 Cited:0 <Full Text> <PPT> 838 Journal of Zhejiang University Science 2026 Vol.27 No.5 P.1-13 DOI:10.1631/ENG.ITEE.2026.0024 |
| 36 | OrganoidViT: a vision transformer-based deep learning model for segmenting viable and nonviable organoids in bright-field images Author(s):Yijun Liu Clicked:34 Download:32 Cited:0 <Full Text> Bio-Design and Manufacturing 2026 Vol.9 No.4 P.796 - 808 DOI:10.1631/bdm.2500438 |
