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A comprehensive wind speed forecast correction strategy with an artificial intelligence algorithm 期刊论文
FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 卷号: 10, 页码: 12
作者:  Zhao, Xueliang;  Sun, Qilong;  Tang, Wanru;  Yu, Shuang;  Wang, Boyu
收藏  |  浏览/下载：32/0  |  提交时间：2023/02/07
wind speed  numerical weather prediction  forecast correction  deep learning  artificial intelligence  
Learning to predict in-hospital mortality risk in the intensive care unit with attention-based temporal convolution network 期刊论文
BMC ANESTHESIOLOGY, 2022, 卷号: 22, 期号: 1, 页码: 11
作者:  Chen, Yu-wen;  Li, Yu-jie;  Deng, Peng;  Yang, Zhi-yong;  Zhong, Kun-hua;  Zhang, Li-ge;  Chen, Yang;  Zhi, Hong-yu;  Hu, Xiao-yan;  Gu, Jian-teng;  Ning, Jiao-lin;  Lu, Kai-zhi;  Zhang, Ju;  Xia, Zheng-yuan;  Qin, Xiao-lin;  Yi, Bin
收藏  |  浏览/下载：52/0  |  提交时间：2022/08/22
In-hospital mortality risk  ICU  Temporal Convolution Network  Attention Mechanism  Time series  Artificial Intelligence  
Robust correlation filter tracking with deep semantic supervision 期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 5, 页码: 754-760
作者:  Wang, Wei;  Chen, Zhaoming;  Douadji, Lyes;  Shi, Mingquan
Adobe PDF(3083Kb)  |  收藏  |  浏览/下载：234/0  |  提交时间：2019/06/24
particle filtering (numerical methods)  learning (artificial intelligence)  target tracking  convolutional neural nets  robust correlation filter tracking  high tracking performance  tracking failure  deep semantic supervision tracking framework  redetection tracking mechanism  particle filtering resampling  CF tracker  deep convolutional neural network  tracking frames  target occlusion  handcrafted features  real-time performance  OTB2013 benchmark datasets  OTB2015 benchmark datasets  
利用术前指标基于机器学习算法预测腹部手术后死亡风险模型的建立 期刊论文
中华麻醉学杂志, 2019, 卷号: 39, 期号: 11, 页码: 1287
作者:  支鸿羽;  辜梦月;  李雨捷;  杨智勇;  钟坤华;  陈芋文;  张矩;  易斌;  鲁开智
收藏  |  浏览/下载：116/0  |  提交时间：2020/08/24
Artificial intelligence  Machine learning  Forecasting  Death  Postoperative complications  人工智能  机器学习  预测  死亡  手术后并发症  
Extensive exploration of comprehensive vehicle attributes using D-CNN with weighted multi-attribute strategy 期刊论文
IET INTELLIGENT TRANSPORT SYSTEMS, 2018, 卷号: 12, 期号: 3, 页码: 186-193
作者:  Yan, Zhuo;  Feng, Youji;  Cheng, Cheng;  Fu, Jianting;  Zhou, Xiangdong;  Yuan, Jiahu
Adobe PDF(3776Kb)  |  收藏  |  浏览/下载：238/0  |  提交时间：2018/06/04
Object Recognition  Feedforward Neural Nets  Learning (Artificial Intelligence)  Comprehensive Vehicle Attributes  D-cnn  Weighted Multiattribute Strategy  Deep Convolutional Neural Network  Surveillance Images  Vehicle Model Recognition  Make Recognition  Mtl Methods  Multitask Learning  Compcars Vehicle Dataset  Manufacturer Recognition