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生物集群能量高效利用机制研究综述 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 3, 页码: 431-449
作者:  吴晓阳;  邹尧;  付强;  贺威
Adobe PDF(5973Kb)  |  收藏  |  浏览/下载：8/3  |  提交时间：2024/04/10
生物集群  能量高效利用  节能机制  编队  
Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 919-931
作者:  Fei Ming;  Wenyin Gong;  Ling Wang;  Yaochu Jin
Adobe PDF(2091Kb)  |  收藏  |  浏览/下载：23/7  |  提交时间：2024/03/18
Constrained multi-objective optimization  deep Q-learning  deep reinforcement learning (DRL)  evolutionary algorithms  evolutionary operator selection  
Set Stabilization of Large-Scale Stochastic Boolean Networks: A Distributed Control Strategy 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 806-808
作者:  Lin Lin;  Jinde Cao;  Jianquan Lu;  Leszek Rutkowski
Adobe PDF(3542Kb)  |  收藏  |  浏览/下载：55/13  |  提交时间：2024/02/19
A Finite-Time Convergent Analysis of Continuous Action Iterated Dilemma 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 563-565
作者:  Zhen Wang;  Xiaoyue Jin;  Tao Zhang;  Dengxiu Yu
Adobe PDF(297Kb)  |  收藏  |  浏览/下载：86/33  |  提交时间：2024/01/23
Tumor Mutation Burden-Related Histopathologic Features for Predicting Overall Survival in Gliomas Using Graph Deep Learning 期刊论文
AMERICAN JOURNAL OF PATHOLOGY, 2023, 卷号: 193, 期号: 12, 页码: 2111-2121
作者:  Sun, Caixia;  Luo, Tao;  Liu, Zhenyu;  Ge, Jia;  Shao, Lizhi;  Liu, Xiangyu;  Li, Bao;  Zhang, Song;  Qiu, Qi;  Wei, Wei;  Wang, Shuo;  Bian, Xiu-Wu;  Tian, Jie
收藏  |  浏览/下载：63/0  |  提交时间：2024/02/22
Machine learning model for predicting physical activity related bleeding risk in Chinese boys with haemophilia A 期刊论文
THROMBOSIS RESEARCH, 2023, 卷号: 232, 页码: 43-53
作者:  Ai, Di;  Cui, Chang;  Tang, Yongqiang;  Wang, Yan;  Zhang, Ningning;  Zhang, Chenyang;  Zhen, Yingzi;  Li, Gang;  Huang, Kun;  Liu, Guoqing;  Chen, Zhenping;  Zhang, Wensheng;  Wu, Runhui
收藏  |  浏览/下载：7/0  |  提交时间：2024/03/26
Haemophilia  Children  Machine learning  Bleeding predictive modelling  Physical activity  
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：35/0  |  提交时间：2024/02/22
Recurrent nasopharyngeal carcinoma  Re-radiotherapy  Nasopharyngeal necrosis  Radiomics  
Improving prognosis and assessing adjuvant chemotherapy benefit in locally advanced rectal cancer with deep learning for MRI: A retrospective, multi-cohort study 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2023, 卷号: 188, 页码: 9
作者:  Zhang, Song;  Cai, Guoxiang;  Xie, Peiyi;  Sun, Caixia;  Li, Bao;  Dai, Weixing;  Liu, Xiangyu;  Qiu, Qi;  Du, Yang;  Li, Zhenhui;  Liu, Zhenyu;  Tian, Jie
收藏  |  浏览/下载：112/0  |  提交时间：2023/11/15
Locally advanced rectal cancer  Magnetic resonance imaging  Prognosis  Adjuvant chemotherapy  Deep learning  
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：99/0  |  提交时间：2023/11/17
deep learning  extranodal soft tissue metastasis  gastric cancer  radiomics  
A multi-view co-training network for semi-supervised medical image-based prognostic prediction 期刊论文
NEURAL NETWORKS, 2023, 卷号: 164, 页码: 455-463
作者:  Li, Hailin;  Wang, Siwen;  Liu, Bo;  Fang, Mengjie;  Cao, Runnan;  He, Bingxi;  Liu, Shengyuan;  Hu, Chaoen;  Dong, Di;  Wang, Ximing;  Wang, Hexiang;  Tian, Jie
收藏  |  浏览/下载：121/0  |  提交时间：2023/11/17
Deep neural network  Medical image analysis  Prognostic prediction  Semi-supervised learning