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CASIA OpenIR

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A Soft Sensor with Light and Efficient Multi-scale Feature Method for Multiple Sampling Rates in Industrial Processing 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 400-410
作者:  Dezheng Wang;  Yinglong Wang;  Fan Yang;  Liyang Xu;  Yinong Zhang;  Yiran Chen;  Ning Liao
Adobe PDF(3208Kb)  |  收藏  |  浏览/下载：11/0  |  提交时间：2024/04/23
Multi-scale, feature extractor, deep neural network (DNN), multirate sampled industrial processes, prediction  
YOLO-CORE: Contour Regression for Efficient Instance Segmentation 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 716-728
作者:  Haoliang Liu;  Wei Xiong;  Yu Zhang
Adobe PDF(11569Kb)  |  收藏  |  浏览/下载：1/1  |  提交时间：2024/04/23
Computer vision, instance segmentation, object shape prediction, contour regression, polar distance  
Machine Learning for Brain Imaging Genomics Methods: A Review 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 57-78
作者:  Mei-Ling Wang;  Wei Shao;  Xiao-Ke Hao;  Dao-Qiang Zhang
Adobe PDF(2285Kb)  |  收藏  |  浏览/下载：5/2  |  提交时间：2024/04/23
Brain imaging genomics  machine learning  multivariate analysis  association analysis  outcome prediction  
A reversible data hiding method based on bitmap prediction for AMBTC compressed hyperspectral images 期刊论文
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2024, 卷号: 81, 页码: 15
作者:  Zhang, Xiaoran;  Pan, Zhibin;  Zhou, Quan;  Fan, Guojun;  Dong, Jing
收藏  |  浏览/下载：9/0  |  提交时间：2024/03/27
Absolute moment block truncation coding  (AMBTC)  Hyperspectral images  Reversible data hiding (RDH)  Prediction of bitmap  Adaptive embedding order  Dynamical embedding scheme  
Temporal Double Graph Convolutional Network for CO and CO2 Prediction in Blast Furnace Gas 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 13
作者:  Zhang, Tingkun;  Liu, Chengbao;  Liu, Zhenjie;  Tan, Jie;  Ahmat, Mutellip
收藏  |  浏览/下载：6/0  |  提交时间：2024/03/26
Blast furnace gas (BFG)  CO and CO2 content  graph convolutional network (GCN)  hypergraph convolutional network  prediction  
A Vectorized Representation Model for Trajectory Prediction of Intelligent Vehicles in Challenging Scenarios 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 10, 页码: 4301-4306
作者:  Guo, Lulu;  Shan, Ce;  Shi, Tengfei;  Li, Xuan;  Wang, Fei-Yue
收藏  |  浏览/下载：14/0  |  提交时间：2024/02/22
Index Terms-Autonomous vehicles  graph neural network  HD maps  OpenSCENARIO  scenarios engineering  trajectory prediction  
A Novel Spatial Position Prediction Navigation System Makes Surgery More Accurate 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 卷号: 42, 期号: 12, 页码: 3614-3624
作者:  Zhang, Lin-Sen;  Liu, Shi-Qi;  Xie, Xiao-Liang;  Zhou, Xiao-Hu;  Hou, Zeng-Guang;  Wang, Chao-Nan;  Qu, Xin-Kai;  Han, Wen-Zheng;  Ma, Xi-Yao;  Song, Meng
收藏  |  浏览/下载：28/0  |  提交时间：2024/02/22
Vascular interventional surgery  3D prediction guide  autonomous operation  path-planning  weighted probability error ellipsoid  
A cross-modal clinical prediction system for intensive care unit patient outcome 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 283, 页码: 16
作者:  Sun, Mengxuan;  Yang, Xuebing;  Niu, Jinghao;  Gu, Yifan;  Wang, Chutong;  Zhang, Wensheng
收藏  |  浏览/下载：29/0  |  提交时间：2024/02/21
Electronic health records  Clinical outcome prediction  Patient representation  Cross-modal contrastive learning  
Control Strategies for Digital Twin Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 170-180
作者:  Guo-Ping Liu
Adobe PDF(1689Kb)  |  收藏  |  浏览/下载：172/118  |  提交时间：2024/01/02
Digital twin control systems  fault tolerant control  model tracking  performance prediction  performance retention  
KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning 期刊论文
BMC MEDICAL INFORMATICS AND DECISION MAKING, 2023, 卷号: 23, 期号: 1, 页码: 19
作者:  An, Yang;  Tang, Haocheng;  Jin, Bo;  Xu, Yi;  Wei, Xiaopeng
收藏  |  浏览/下载：53/0  |  提交时间：2023/12/21
Electronic medical records  Medication prediction  Intelligent healthcare system  Multi-source medical knowledge  Graph contrastive learning