机构

• 寒区旱区环境与工程研... [3]
• 长春光学精密机械与物... [2]
• 地质与地球物理研究所 [1]
• 科技战略咨询研究院 [1]
• 数学与系统科学研究院 [1]
• 高能物理研究所 [1]
• 更多

采集方式

• OAI收割 [7]
• iSwitch采集 [4]

内容类型

• 期刊论文 [9]
• 会议论文 [2]

发表日期

• 2020 [1]
• 2019 [1]
• 2018 [1]
• 2017 [1]
• 2015 [1]
• 2012 [1]
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学科主题

• Computer S... [1]
• Engineerin... [1]
• Industrial [1]
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筛选

浏览/检索结果: 共11条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择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作者升序作者降序 Discrete Deep Hashing with Ranking Optimization for Image Retrieval 期刊论文  OAI收割 IEEE Transactions on Neural Networks and Learning Systems, 2020, 卷号: 31, 期号: 6, 页码: 2052-2063 作者:  Lu, Xiaoqiang;  Chen, Yaxiong;  Li, Xuelong   |  收藏  |  浏览/下载：54/0  |  提交时间：2020/06/24 Category-level Information  discrete deep hashing  image retrieval  ranking information   Grout diffusion in silty fine sand stratum with high groundwater level for tunnel construction 期刊论文  OAI收割 TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2019, 卷号: 93, 页码: 11 作者:  Liu, Xiaoli;  Wang, Fang;  Huang, Jin;  Wang, Sijing;  Zhang, Zhizeng   |  收藏  |  浏览/下载：139/0  |  提交时间：2019/11/14 Silty fine sand stratum with high water level  Bingham fluid  Grouting pressure  Grout diffusion radius  Discrete element method   Comparative Study of Hybrid-Wavelet Artificial Intelligence Models for Monthly Groundwater Depth Forecasting in Extreme Arid Regions, Northwest China 期刊论文  iSwitch采集 WATER RESOURCES MANAGEMENT, 2018, 卷号: 32, 期号: 1, 页码: 301-323 作者:  Yu, Haijiao;  Wen, Xiaohu;  Feng, Qi 收藏  |  浏览/下载：60/0  |  提交时间：2019/10/09 Discrete wavelet transform  Artificial neural network  Support vector regression  Groundwater level fluctuations  Extreme arid regions   Wavelet analysis-artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China 期刊论文  iSwitch采集 HYDROLOGY RESEARCH, 2017, 卷号: 48, 期号: 6, 页码: 1710-1729 作者:  Wen, Xiaohu;  Feng, Qi;  Deo, Ravinesh C.;  Wu, Min;  Si, Jianhua 收藏  |  浏览/下载：52/0  |  提交时间：2019/10/09 arid environment  artificial neural network  discrete wavelet transforms  forecasting  groundwater level   Wavelet and adaptive neuro-fuzzy inference system conjunction model for groundwater level predicting in a coastal aquifer 期刊论文  iSwitch采集 Neural computing & applications, 2015, 卷号: 26, 期号: 5, 页码: 1203-1215 作者:  Wen, Xiaohu;  Feng, Qi;  Yu, Haijiao;  Wu, Jun;  Si, Jianhua 收藏  |  浏览/下载：45/0  |  提交时间：2019/09/04 Discrete wavelet transform  Adaptive neuro-fuzzy inference system  Groundwater level  Coastal aquifer  Prediction   High-Accuracy Amplitude and Phase Measurements for Low-Level RF Systems 期刊论文  OAI收割 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2012, 卷号: 61, 期号: 4, 页码: 912-921 作者:  Wang, Z;  Mao, LH;  刘熔; Liu, R 收藏  |  浏览/下载：27/0  |  提交时间：2016/04/08 Amplitude measurement  discrete Fourier transform (DFT)  digital IF  high accuracy  low-level RF (LLRF)  oversampling  phase measurement  RF control   A trace representation of binary jacobi sequences 期刊论文  iSwitch采集 Discrete mathematics, 2009, 卷号: 309, 期号: 6, 页码: 1517-1527 作者:  Dai, Zongduo;  Gong, Guang;  Song, Hong-Yeop 收藏  |  浏览/下载：27/0  |  提交时间：2019/05/10 Cyclic difference sets  Twin-prime cyclic difference sets  Trace representations  (discrete) fourier spectral sequence  Defining pairs  Binary sequences with two-level autocorrelation  Binary hadamard sequences   The effect of investor psychology on the complexity of stock market: An analysis based on cellular automaton model 期刊论文  OAI收割 COMPUTERS & INDUSTRIAL ENGINEERING, 2009, 卷号: 56, 期号: 1, 页码: 7,63-69 Fan, Y; Ying, SJ; Wang, BH; Wei, YM 收藏  |  浏览/下载：24/0  |  提交时间：2012/11/12 Cellular automata  Complexity  Hurst exponent  Discrete level  Investor psychology   High order numerical methods to a type of delta function integrals 期刊论文  OAI收割 JOURNAL OF COMPUTATIONAL PHYSICS, 2007, 卷号: 226, 期号: 2, 页码: 1952-1967 作者:  Wen, Xin   |  收藏  |  浏览/下载：25/0  |  提交时间：2018/07/30 delta function integral  level set method  discrete delta function   A new algorithm of image segmentation for overlapping grain image (EI CONFERENCE) 会议论文  OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者:  Zhang X.;  Zhang X.;  Zhang X. 收藏  |  浏览/下载：21/0  |  提交时间：2013/03/25 Image segmentation is primary issue in image processing  at the same time it is principal problem in low level vision in computer vision field. It is the key technology to process image analysis  image comprehend and image depict successfully. Aim at measurement of granularity size of nonmetal grain  a new algorithm of image segmentation and parameters calculation for overlapping grain image is studied. The hypostasis of this algorithm is present some new attributes of graph sequence from discrete attribute of graph  consequently achieve that pick up the geometrical characteristics from input graph  and new graph sequence which in favor of image segmentation is recombined. The conception that image edge denoted with "twin-point" is put forward  base on geometrical characters of point  image edge is transformed into serial edge  and on recombined serial image edge  based on direction vector definition of line and some additional restricted conditions  the segmentation twin-points are searched with  thus image segmentation is accomplished. Serial image edge is transformed into twin-point pattern  to realize calculation of area and granularity size of nonmetal grain. The inkling and uncertainty on selection of structure element which base on mathematical morphology are avoided in this algorithm  and image segmentation and parameters calculation are realized without changing grain's self statistical characters.