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EEG-based Emotion Recognition Using Multiple Kernel Learning 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 472-484
作者:  Qian Cai;  Guo-Chong Cui;  Hai-Xian Wang
Adobe PDF(1939Kb)  |  收藏  |  浏览/下载：3/2  |  提交时间：2024/04/23
Emotion recognition  electroencephalography (EEG)  multiple kernel learning  machine learning  brain computer interface  
一种支持图灵测试模式的人机对抗系统及智能体测试方法 专利
专利类型: 发明专利, 专利号: CN202111328333.3, 申请日期: 2022-01-01,
发明人:  倪晚成;  徐佳乐;  王士贤;  黄凯奇;  杨旭阳
Adobe PDF(507Kb)  |  收藏  |  浏览/下载：124/42  |  提交时间：2023/06/28
Deep learning model based on contrast-enhanced ultrasound for predicting early recurrence after thermal ablation of colorectal cancer liver metastasis 期刊论文
EUROPEAN RADIOLOGY, 2022, 页码: 11
作者:  Zhao, Qin-xian;  He, Xue-lei;  Wang, Kun;  Cheng, Zhi-gang;  Han, Zhi-yu;  Liu, Fang-yi;  Yu, Xiao-ling;  Hui, Zhong;  Yu, Jie;  Chao, An;  Liang, Ping
收藏  |  浏览/下载：128/0  |  提交时间：2023/03/20
Thermal ablation  Colorectal neoplasms  Ultrasound  Deep learning  Recurrence  
Cross-Modal Cloze Task: A New Task to Brain-to-Word Decoding 会议论文
, Dublin, Ireland, 2022-5
作者:  Shuxian, Zou;  Shaonan, Wang;  Jiajun, Zhang;  Chengqing, Zong
Adobe PDF(375Kb)  |  收藏  |  浏览/下载：156/26  |  提交时间：2022/06/14
A Scalable Adaptive Approach to Multi-Vehicle Formation Control with Obstacle Avoidance 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 6, 页码: 990-1004
作者:  Xiaohua Ge;  Qing-Long Han;  Jun Wang;  Xian-Ming Zhang
Adobe PDF(5284Kb)  |  收藏  |  浏览/下载：188/42  |  提交时间：2022/05/30
Adaptive control  collision avoidance  distributed formation control  multi-vehicle systems  neural networks  obstacle avoidance  repulsive potential  
Development of a deep learning-based method to diagnose pulmonary ground-glass nodules by sequential computed tomography imaging 期刊论文
THORACIC CANCER, 2022, 页码: 11
作者:  Qiu, Zhixin;  Wu, Qingxia;  Wang, Shuo;  Chen, Zhixia;  Lin, Feng;  Zhou, Yuyan;  Jin, Jing;  Xian, Jinghong;  Tian, Jie;  Li, Weimin
收藏  |  浏览/下载：239/0  |  提交时间：2022/02/16
deep learning  ground-glass nodules  multiple timepoints  sequential