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检索条件"主题词=convolutional neural network algorithms"
3 条 记 录,以下是1-10 订阅
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From YouTube to the brain: Transfer learning can improve brain-imaging predictions with deep learning
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neural networkS 2022年 第0期153卷 325-338页
作者: Malik, Nahiyan Bzdok, Danilo McGill Univ Sch Comp Sci Montreal PQ Canada Mila Quebec Artificial Intelligence Inst Montreal PQ Canada McGill Univ Montreal Neurol Inst MNI McConnell Brain Imaging Ctr Montreal PQ Canada McGill Univ Fac Med Dept Biomed Engn Montreal PQ Canada 845 Rue Sherbrooke Montreal PQ H3A 0G4 Canada
Deep learning has recently achieved best-in-class performance in several fields, including biomedical domains such as X-ray images. Yet, data scarcity poses a strict limit on training successful deep learning systems ... 详细信息
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Non-profiled Deep-Learning-Based Power Analysis of the SM4 and DES algorithms
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Chinese Journal of Electronics 2021年 第3期30卷 500-507页
作者: MA Xiangliang LI Bing WANG Hong WU Di ZHANG Lizhen HUANG Kezhen DUAN Xiaoyi School of Integrated Circuits Tsinghua University National Research Center for Information Technology Security China Cybersecurity Review Technology and Certification Center Trusted Computing and Information Assurance Laboratory Institute of Software Chinese Academy of Sciences University of Chinese Academy of Sciences Department of Electronics and Information Engineering Beijing Electronic Science and Technology Institute
Power analysis methods are commonly used for evaluating the security of cryptographic *** are characteristically low-cost and display a high success rate and the ability to obtain important device information, e.g., k... 详细信息
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Smart feature extraction and classification of hyperspectral images based on convolutional neural networks
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IET IMAGE PROCESSING 2020年 第10期14卷 1999-2005页
作者: Hamouda, Maissa Ettabaa, Karim Saheb Bouhlel, Med Salim Univ Sousse SETIT Lab ISITCom Sousse Tunisia Univ Sousse IMT Atlantique ISITCom Sousse Tunisia Univ Sfax ENIS SETIT Lab Sfax Tunisia
Hyperspectral satellite imagery (HSI) is an advanced technology for object detection because it provides a large amount of information. Thus, the classification of HSIs is very complicated, so the methods of reducing ... 详细信息
来源: 评论