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科研机构

自动化研究所 [4]

沈阳自动化研究所 [3]

合肥物质科学研究院 [2]

力学研究所 [1]

兰州理工大学 [1]

长春光学精密机械与物... [1]

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期刊论文 [13]

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2022 [13]

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浏览/检索结果: 共13条，第1-10条

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发表日期：2022

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	Silicone rubber matrix composites with shear thickening fluid microcapsules realizing intelligent adaptation to impact loadings 期刊论文 COMPOSITES PART B-ENGINEERING, 2022, 卷号: 247 作者: Zhu, J. Q.; Gu, Z. P.; Liu, Z. P.; Zhong, F. C.; Wu, X. Q. 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/12/23 SR-STF composites Intelligent adaptation Strain-rate sensitivity Hyper-viscoelastic constitutive model
	Silicone rubber matrix composites with shear thickening fluid microcapsules realizing intelligent adaptation to impact loadings 期刊论文 COMPOSITES PART B-ENGINEERING, 2022, 卷号: 247, 页码: 11 作者: Zhu JQ(朱珈庆); Gu ZP(谷周澎); Liu, ZP; Zhong, FC; Wu XQ(吴先前) 收藏 \| 浏览/下载：13/0 \| 提交时间：2022/12/20 SR-STF composites Intelligent adaptation Strain-rate sensitivity Hyper-viscoelastic constitutive model
	Pseudo Label Rectification With Joint Camera Shift Adaptation and Outlier Progressive Recycling for Unsupervised Person Re-Identification 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12 作者: Xu, Mingyuan; Guo, Haiyun; Jia, Yuheng; Dai, Zhitao; Wang, Jinqiao 收藏 \| 浏览/下载：13/0 \| 提交时间：2023/02/22 Person re-identification unsupervised learning domain adaptation pseudo label rectification
	Source-free domain adaptive object detection based on pseudo-supervised mean teacher 期刊论文 JOURNAL OF SUPERCOMPUTING, 2022 作者: Wei, Xing; Bai, Ting; Zhai, Yan; Chen, Lei; Luo, Hui 收藏 \| 浏览/下载：63/0 \| 提交时间：2022/12/23 Source-free object detection Transfer learning Domain adaptation
	A Parallel Teacher for Synthetic-to-Real Domain Adaptation of Traffic Object Detection 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 3, 页码: 441-455 作者: Wang, Jiangong; Shen, Tianyu; Tian, Yonglin; Wang, Yutong; Gou, Chao 收藏 \| 浏览/下载：18/0 \| 提交时间：2022/11/28 Object detection Feature extraction Data models Training Knowledge engineering Detectors Computational modeling Computer vision Unsupervised Domain Adaptation Teacher-student learning Traffic object detection
	The evolution of conglobation in Ceratocanthinae 期刊论文 COMMUNICATIONS BIOLOGY, 2022, 卷号: 5, 期号: 1, 页码: 14 作者: Lu, Yuanyuan; Ballerio, Alberto; Wang, Shuo; Zou, Zhengting; Gorb, Stanislav N. 收藏 \| 浏览/下载：50/0 \| 提交时间：2022/09/02
	Adversarial domain adaptation convolutional neural network for intelligent recognition of bearing faults 期刊论文 Measurement: Journal of the International Measurement Confederation, 2022, 卷号: 195 作者: Wu, Yaochun; Zhao, Rongzhen; Ma, Hongru; He, Qiang; Du, Shaohua 收藏 \| 浏览/下载：33/0 \| 提交时间：2022/04/21 Convolution Machinery Bearing Bearing fault Convolutional neural network Domain adaptation Fault recognition Intelligent fault recognition Intelligent recognition Recognition methods Target domain Varying working conditions
	Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12 作者: Lu, Chao; Lv, Chen; Gong, Jianwei; Wang, Wenshuo; Cao, Dongpu 收藏 \| 浏览/下载：21/0 \| 提交时间：2022/06/10 Vehicles Adaptation models Data models Hidden Markov models Knowledge transfer Transfer learning Training Driver behaviour driver model adaptation transfer learning importance weight
	Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 11 作者: Wang, Huanjie; Bai, Xiwei; Wang, Sihan; Tan, Jie; Liu, Chengbao 收藏 \| 浏览/下载：19/0 \| 提交时间：2022/06/06 Fault diagnosis Data models Task analysis Representation learning Adaptation models Training data Training Convolutional neural network (CNN) data-driven fault diagnosis domain generalization (DG) model-agnostic learning rolling bearing
	A transfer weighted extreme learning machine for imbalanced classification 期刊论文 INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 页码: 1-21 作者: Guo YN(郭一楠); Jiao BT(焦博韬); Tan, Ying; Zhang, Pei; Tang FZ(唐凤珍) 收藏 \| 浏览/下载：25/0 \| 提交时间：2022/05/15 class imbalance learning cost-sensitive learning domain adaptation extreme learning machine transfer learning

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