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一种基于目标空间转换权重求和的超多目标进化算法 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 4, 页码: 1060-1078
作者:  梁正平;  骆婷婷;  王志强;  朱泽轩;  胡凯峰
Adobe PDF(7389Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/05/20
目标空间转换  权重求和  超多目标优化  进化算法  
Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study 期刊论文
BMC MEDICINE, 2023, 卷号: 21, 期号: 1, 页码: 13
作者:  Liu, Ting;  Dong, Di;  Zhao, Xun;  Ou, Xiao-Min;  Yi, Jun-Lin;  Guan, Jian;  Zhang, Ye;  Xiao-Fei, Lv;  Xie, Chuan-Miao;  Luo, Dong-Hua;  Sun, Rui;  Chen, Qiu-Yan;  Xing, Lv;  Guo, Shan-Shan;  Liu, Li-Ting;  Lin, Da-Feng;  Chen, Yan-Zhou;  Lin, Jie-Yi;  Luo, Mei-Juan;  Yan, Wen-Bin;  He, Mei-Lin;  Mao, Meng-Yuan;  Zhu, Man-Yi;  Chen, Wen-Hui;  Shen, Bo-Wen;  Wang, Shi-Qian;  Li, Hai-Lin;  Zhong, Lian-Zhen;  Hu, Chao-Su;  Wu, De-Hua;  Mai, Hai-Qiang;  Tian, Jie;  Tang, Lin-Quan
收藏  |  浏览/下载：54/0  |  提交时间：2024/02/22
Recurrent nasopharyngeal carcinoma  Re-radiotherapy  Nasopharyngeal necrosis  Radiomics  
Visual Tracking With Motion Distortion Removal for Nanomanipulation Inside SEM 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 12
作者:  Fu, Xiang;  Yang, Yuting;  Sun, Zhenhuan;  Su, Hu;  Li, Youfu;  Li, Teng;  Liu, Song
收藏  |  浏览/下载：74/0  |  提交时间：2023/12/21
Dynamic visual tracking  motion distortion removal  nanomanipulation  scanning electron microscope (SEM) image denoising  
Deep learning-based radiomics model can predict extranodal soft tissue metastasis in gastric cancer 期刊论文
MEDICAL PHYSICS, 2023, 页码: 11
作者:  Liu, Shengyuan;  Deng, Jingyu;  Dong, Di;  Fang, Mengjie;  Ye, Zhaoxiang;  Hu, Yanfeng;  Li, Hailin;  Zhong, Lianzhen;  Cao, Runnan;  Zhao, Xun;  Shang, Wenting;  Li, Guoxin;  Liang, Han;  Tian, Jie
收藏  |  浏览/下载：121/0  |  提交时间：2023/11/17
deep learning  extranodal soft tissue metastasis  gastric cancer  radiomics  
Inconsistency-Aware Wavelet Dual-Branch Network for Face Forgery Detection 期刊论文
IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021, 卷号: 3, 期号: 3, 页码: 308-319
作者:  jia geng yun;  zheng mei song;  hu chuan rui;  ma xin;  xu yu ting;  liu luo qi;  deng ya feng;  he ran
Adobe PDF(2690Kb)  |  收藏  |  浏览/下载：194/38  |  提交时间：2022/06/14
Deep learning-based AI model for signet-ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer 期刊论文
MEDICAL PHYSICS, 2022, 页码: 12
作者:  Li, Cong;  Qin, Yun;  Zhang, Wei-Han;  Jiang, Hanyu;  Song, Bin;  Bashir, Mustafa R.;  Xu, Heng;  Duan, Ting;  Fang, Mengjie;  Zhong, Lianzhen;  Meng, Lingwei;  Dong, Di;  Hu, Zhenhua;  Tian, Jie;  Hu, Jian-Kun
Adobe PDF(1878Kb)  |  收藏  |  浏览/下载：393/85  |  提交时间：2022/03/17
chemotherapy  deep learning  diagnosis  signet-ring cell carcinoma  survival  
Sequential Fault Diagnosis Using an Inertial Velocity Differential Evolution Algorithm 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 389-397
作者:  Xiao-Hong Qiu;  Yu-Ting Hu;  Bo Li
Adobe PDF(792Kb)  |  收藏  |  浏览/下载：148/51  |  提交时间：2021/02/22
Differential evolution (DE)  evolutionary computation  fault isolation rate (FIR)  testability  fault diagnosis.  
A Study on Performance and Reliability of Urethral Valve Driven by Ultrasonic-vaporized Steam 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 752-762
作者:  Zhen Hu;  Xiao Li;  Ting Guan
浏览  |  Adobe PDF(14479Kb)  |  收藏  |  浏览/下载：136/30  |  提交时间：2021/02/22
Urethral valve  ultrasonic  opening/closing performance  driving performance  reliability.  
Deep Learning on Point Clouds and Its Application: A Survey 期刊论文
SENSORS, 2019, 卷号: 19, 期号: 19, 页码: 22
作者:  Liu, Weiping;  Sun, Jia;  Li, Wanyi;  Hu, Ting;  Wang, Peng
收藏  |  浏览/下载：232/0  |  提交时间：2020/03/30
feature learning  deep learning  point cloud  application of point cloud  
Joint spatial-temporal attention for action recognition 期刊论文
PATTERN RECOGNITION LETTERS, 2018, 卷号: 112, 页码: 226-233
作者:  Yu, Tingzhao;  Guo, Chaoxu;  Wang, Lingfeng;  Gu, Huxiang;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：219/0  |  提交时间：2019/12/16
Action Recognition  Spatial-temporal Attention  Two-stage