中国科学院机构知识库网格系统: 检索

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	Knowledge-informed deep learning to mitigate bias in joint air pollutant prediction 期刊论文 OAI收割 ENVIRONMENT INTERNATIONAL, 2025, 卷号: 206, 页码: 109915 作者: Li, Lianfa; Khalili, Roxana; Lurmann, Frederick; Pavlovic, Nathan; Wu, Jun \| 收藏 \| 浏览/下载：2/0 \| 提交时间：2026/01/21 Deep learning Physics-informed modeling Air pollution Knowledge fusion Bias mitigation Joint prediction
	Conditional Goal-Oriented Trajectory Prediction for Interacting Vehicles 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13 作者: Li, Ding; Zhang, Qichao; Lu, Shuai; Pan, Yifeng; Zhao, Dongbin \| 收藏 \| 浏览/下载：61/0 \| 提交时间：2023/12/21 Trajectory Predictive models Behavioral sciences Pipelines Task analysis Feature extraction Vehicle dynamics Conditional prediction goal-oriented trajectory prediction hierarchical vectorized representation joint trajectory prediction marginal prediction
	Joint intention understanding in children with autism spectrum disorder 期刊论文 OAI收割 AUTISM RESEARCH, 2023, 页码: 12 作者: Hou, Wenwen; Li, Xue; Yang, Yunmei; Li, Jing \| 收藏 \| 浏览/下载：46/0 \| 提交时间：2023/10/09 joint intention action prediction autism spectrum disorder eye tracking children
	基于森林的实体关系联合抽取模型期刊论文 OAI收割计算机应用, 2023, 卷号: 43, 期号: 9, 页码: 2700 作者: 王炫力; 靳小龙; 侯中妮; 廖华明; 张瑾 \| 收藏 \| 浏览/下载：45/0 \| 提交时间：2024/05/20 entity-relation joint extraction triplet generation nested entity layering prediction entity forest 实体关系联合抽取三元组生成嵌套实体分层预测实体森林
	Patient-Level Prediction of Multi-Classification Task at Prostate MRI Based on End-to-End Framework Learning From Diagnostic Logic of Radiologists 期刊论文 OAI收割 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 卷号: 68, 期号: 12, 页码: 3690-3700 作者: Shao, Lizhi; Liu, Zhenyu; Yan, Ye; Liu, Jiangang; Ye, Xiongjun \| 收藏 \| 浏览/下载：76/0 \| 提交时间：2021/12/28 Magnetic resonance imaging Principal component analysis Pathology Lesions Optimization Task analysis Predictive models Gleason score prostate cancer patient-level prediction joint optimization MRI reinforcement learning
	Prediction of steel corrosion in magnesium cement concrete based on two dimensional Copula function 期刊论文 OAI收割 COMPUTERS AND CONCRETE, 2018, 卷号: 21, 期号: 2, 页码: 181-187 作者: Feng, Qiong; Qiao, Hongxia; Wang, Penghui; Gong, Wei \| 收藏 \| 浏览/下载：54/0 \| 提交时间：2018/06/20 Corrosion Current Density Marginal Distribution Function Joint Distribution Function Frank-copula Function Life Prediction
	Method of improving the accuracy of image motion measurement for panoramic aerial cameras (EI CONFERENCE) 会议论文 OAI收割 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology, April 26, 2010 - April 29, 2010, Dalian, China 作者: Jia P. 收藏 \| 浏览/下载：36/0 \| 提交时间：2013/03/25 To improve the accuracy of image motion measurement for panoramic aerial cameras the paper proposed a method of real-time image motion measurement based on 2D spatial correlation. An auxiliary area CCD is positioned paralleled to the main linear TDI CCD in the focal plane of the camera. For every frame of the image sequence taken by the auxiliary CCD a prediction on the displacement of the current image in the flight direction is made based on the forward image motion velocity. The current and the reference images are combined together for 2D-correlation which products an image motion vector. By decomposing the vector both the forward and pendulum-swing image motions can be determined. The demanding computational requirements for the real-time 2D-correlation are covered by a joint transform optical correlator. Simulation test results show that the accuracy is improved and the measurement error is within 0.2 pixels for input images with SNR=1 dB. 2010 Copyright SPIE - The International Society for Optical Engineering.