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浏览/检索结果: 共6条，第1-6条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Fusion Networks of CNN and Transformer with Channel Attention for Accurate Tumor Imaging in Magnetic Particle Imaging 期刊论文 BIOLOGY-BASEL, 2024, 卷号: 13, 期号: 1, 页码: 17 作者:  Shang, Yaxin;  Liu, Jie;  Wang, Yueqi;  Bertrand, Helene 收藏  |  浏览/下载：3/0  |  提交时间：2024/03/26 magnetic particle imaging  convolutional neural network  transformer  tumor imaging  accurate quantification   UAV-based individual shrub aboveground biomass estimation calibrated against terrestrial LiDAR in a shrub-encroached grassland 期刊论文 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 卷号: 101, 页码: 12 作者:  Zhao, Yujin;  Liu, Xiaoliang;  Wang, Yang;  Zheng, Zhaoju;  Zheng, Shuxia 收藏  |  浏览/下载：74/0  |  提交时间：2021/08/19 Shrub encroachment  Biomass  Unmanned aerial vehicle (UAV)  Terrestrial laser scanning  Volume  Individual shrub identification   Selective visual attention based clutter metric with human visual system adaptability 期刊论文 Applied Optics, 2016, 卷号: 55, 期号: 27 作者:  Zheng, B.;  X. D. Wang;  J. T. Huang;  J. Wang and Y. Jiang 收藏  |  浏览/下载：18/0  |  提交时间：2017/09/11 Prediction of Malignant and Benign of Lung Tumor using a Quantitative Radiomic Method 会议论文 Orlando, Florida USA, 2016-8 作者:  Wang, Jun;  Liu, Xia;  Dong, Di;  Song, Jiangdian;  Xu, Min 收藏  |  浏览/下载：19/0  |  提交时间：2016/10/28 Radiomics   Arc fault signatures detection on aircraft wiring system (EI CONFERENCE) 会议论文 6th World Congress on Intelligent Control and Automation, WCICA 2006, June 21, 2006 - June 23, 2006, Dalian, China Hongkun Z.; Tao C.; Wenjun L. 收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25 In this paper an arc fault detection method Is proposed based on characteristics of the fault current of an electric arc. A localized signal processing method Is developed using wavelet analysis to decompose the differential current signal Into a series of wavelet components  each of which Is a time-domain signal that covers a specific frequency band. Thus  more distinctive signal features that represent arc faults and other fault transient phenomena are extracted. As a result  by quantifying the extracted features  an arc faults are distinguished from phenomena similar to arc and other fault transients using the differences In the quantified features. Simulation studies have demonstrated that the proposed method Is reliable and simple. 2006 IEEE.   Systems and methods for quantifying nonlinearities in interferometry systems 专利 专利号: US6246481, 申请日期: 2001-06-12, 公开日期: 2001-06-12 作者:  HILL, HENRY A. 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/23