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• 自动化研究所 [3]
• 地理科学与资源研究所 [2]
• 长春光学精密机械与物... [2]
• 力学研究所 [1]
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采集方式

• OAI收割 [11]

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• 期刊论文 [7]
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• 2024 [1]
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学科主题

• 信息科学与系统科学 [1]
• 图书馆、情报与文献学 [1]

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提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Modelling Soil δ13C across the Tibetan Plateau Using Deep-Learning 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL INFORMATICS, 2024, 卷号: 44, 期号: 1, 页码: 48-60 作者:  Zhou, T.;  Lai, Y. S.;  Yang, Z. H.;  Shi, Y. H.;  Luo, X. R.   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/10/08 soil delta C-13  spatial variability  multi-layer perceptron neural network  soil carbon turnover  Tibetan Plateau  biogeochemical cycles  biogeochemical cycles   Complex risk contagions among large international energy firms: A multi-layer network analysis 期刊论文  OAI收割 ENERGY ECONOMICS, 2022, 卷号: 114 作者:  Wu, Fei;  Xiao, Xuanqi;  Zhou, Xinyu;  Zhang, Dayong;  Ji, Qiang   |  收藏  |  浏览/下载：19/0  |  提交时间：2023/05/30 Energy firms  Multi-layer network  Risk contagions  Time-varying   Estimation of Significant Wave Heights from ASCAT Scatterometer Data via Deep Learning Network 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 2, 页码: 18 作者:  Wang, He;  Yang, Jingsong;  Zhu, Jianhua;  Ren, Lin;  Liu, Yahao   |  收藏  |  浏览/下载：51/0  |  提交时间：2021/04/21 Advanced Scatterometer (ASCAT)  significant wave height  WaveWatch III  deep learning  multi-hidden-layer neural network   Adaptive Synchronization of Delayed Memristive Neural Networks With Unknown Parameters 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 2, 页码: 539-549 作者:  Yang, Zhanyu;  Luo, Biao;  Liu, Derong;  Li, Yueheng   |  收藏  |  浏览/下载：38/0  |  提交时间：2020/03/30 Synchronization  Biological neural networks  Neurons  Adaptive systems  Multi-layer neural network  Memristors  Adaptive control  delayed memristive neural networks  global asymptotic synchronization  unknown parameters   Accurate Classification of EEG Signals Using Neural Networks Trained by Hybrid Population-physic-based Algorithm 期刊论文  OAI收割 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 108-122 作者:  Sajjad Afrakhteh;  Mohammad-Reza Mosavi;  Mohammad Khishe;  Ahmad Ayatollahi   |  收藏  |  浏览/下载：21/0  |  提交时间：2021/02/22 Brain-computer interface (BCI)  classification  electroencephalography (EEG)  gravitational search algorithm (GSA)  multi-layer perceptron neural network (MLP-NN)  particle swarm optimization.   Massive Automatic Identification System Sensor Trajectory Data-Based Multi-Layer Linkage Network Dynamics of Maritime Transport along 21st-Century Maritime Silk Road 期刊论文  OAI收割 SENSORS, 2019, 卷号: 19, 期号: 19, 页码: 19 作者:  Yu, Hongchu;  Fang, Zhixiang;  Lu, Feng;  Murray, Alan T.;  Zhao, Zhiyuan   |  收藏  |  浏览/下载：99/0  |  提交时间：2020/05/19 maritime network  multi-layer dynamics  traffic flow   Reconstruction of RANS model and cross-validation of flow field based on tensor basis neural network 会议论文  OAI收割 San Francisco, CA, United states, July 28, 2019 - August 1, 2019 作者:  Song XD;  Zhang Z(张珍);  Wang YW(王一伟)   |  收藏  |  浏览/下载：89/0  |  提交时间：2020/11/20 Cross-validation  Multi-layer neural network  Reynolds stress  Turbulence model   A Multi-layer Network Framework of Scientometrics and Its Application to Name Disambiguation, Diversity Measure and Ranking 演示报告  OAI收割 2016 作者:  Jinshan Wu 收藏  |  浏览/下载：28/0  |  提交时间：2016/06/29 Multi-layer Network Framework  Scientometrics  Name Disambiguation  Diversity Measure and Ranking   A MLP-PNN neural network for CCD image super-resolution in wavelet packet domain (EI CONFERENCE) 会议论文  OAI收割 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, October 12, 2008 - October 14, 2008, Dalian, China Zhao X.; Fu D.; Zhai L. 收藏  |  浏览/下载：68/0  |  提交时间：2013/03/25 Image super-resolution methods process an input image sequence of a scene to obtain a still image with increased resolution. Classical approaches to this problem involve complex iterative minimization procedures  typically with high computational costs. In this paper is proposed a novel algorithm for super-resolution that enables a substantial decrease in computer load. First  decompose and reconstruct the image by wavelet packet. Before constructing the image  use neural network in place of other rebuilding method to reconstruct the coefficients in the wavelet packet domain. Second  probabilistic neural network architecture is used to perform a scattered-point interpolation of the image sequence data in the wavelet packet domain. The network kernel function is optimally determined for this problem by a MLP-PNN (Multi Layer Perceptron - Probabilistic Neural Network) trained on synthetic data. Network parameters dependent on the sequence noise level. This super-sampled image is spatially Altered to correct finite pixel size effects  to yield the final high-resolution estimate. This method can decrease the calculation cost and get perfect PSNR. Results are presented  showing the quality of the proposed method. 2008 IEEE.   Alliance-oriented security architecture and technologies in collaborative e-commerce system (EI CONFERENCE) 会议论文  OAI收割 20th IASTED International Conference on Parallel and Distributed Computing and Systems, PDCS 2008, November 16, 2008 - November 18, 2008, Orlando, FL, United states Si H.; Fang Z.; Yin Y.; Zhao H. 收藏  |  浏览/下载：34/0  |  提交时间：2013/03/25 Collaborative commerce and design environment is characterized by of its numerous users  massive resources and dynamic change. In order to solve security problems coming from multi-domain  heterogeneity and dynamics  the security architecture for collaborative commerce and design environment was constructed throuth adoptting Internet Protocol Security(IPSec)  Secure Socket Layer(SSL)  Simple Object Access Protocol Security(SOAPSec). The enabling technologies including IPSec-based Virtual Private Net(VPN)  secure e-commence and cooperation framework  digital authentication and encryption of data were discussed in detail. The architecture and the enabling technologies provided the security mechanism amongst the partners to realize business collaboration  design collaboration in network business pattern.