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浏览/检索结果: 共736条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Assessment of the urban habitat quality service functions and their drivers based on the fusion module of graph attention network and residual network 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 29 作者:  Wang, Chunyang;  Yang, Kui;  Yang, Wei;  Li, Runkui;  Qiang, Haiyang   |  收藏  |  浏览/下载：16/0  |  提交时间：2024/02/19 Residual network  graph attention network  super-pixel segmentation  habitat quality  driving force analysis   Multiple marine algae identification based on three-dimensional fluorescence spectroscopy and multi-label convolutional neural network 期刊论文  OAI收割 Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 2024, 卷号: 311 作者:  Li, Ruizhuo;  Gao, Limin;  Wu, Guojun;  Dong, Jing   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/04/08 Marine algae  Three-dimensional fluorescence spectroscopy  Convolutional neural network  Multi-label classification   Galaxy morphology classification based on Convolutional vision Transformer (CvT) 期刊论文  OAI收割 ASTRONOMY & ASTROPHYSICS, 2024, 卷号: 683 作者:  Cao, Jie;  Xu, Tingting;  Deng, Yuhe;  Deng, Linhua;  Yang, Mingcun   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/04/08 methods: data analysis  techniques: image processing  Galaxy: general   Blind deep-learning based preprocessing method for Fourier ptychographic microscopy 期刊论文  OAI收割 Optics and Laser Technology, 2024, 卷号: 169 作者:  Wu, Kai;  Pan, An;  Sun, Zhonghan;  Shi, Yinxia;  Gao, Wei   |  收藏  |  浏览/下载：16/0  |  提交时间：2023/10/26 Fourier ptychographic microscopy  Noise modeling  Blind denoising  Deep learning   Rapid prediction of regenerator performance for regenerative cryogenics cryocooler based on convolutional neural network 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF REFRIGERATION, 2024, 卷号: 158, 页码: 225-237 作者:  Chen, Xiantong;  Li, Shanshan;  Yu, Jun;  Yang, Sen;  Chen, Hao   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/02/29 Convolutional neural network  Deep learning  Regenerator  Cryogenic cooler  REGEN 3.3 software   CFNet: Conditional filter learning with dynamic noise estimation for real image denoising 期刊论文  OAI收割 KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 284, 页码: 12 作者:  Zuo, Yifan;  Yao, Wenhao;  Zeng, Yifeng;  Xie, Jiacheng;  Fang, Yuming   |  收藏  |  浏览/下载：15/0  |  提交时间：2024/03/26 Image denoising  Noise estimation  Conditional filter  Affine transform   Deep learning to estimate ocean subsurface salinity structure in the Indian Ocean using satellite observations 期刊论文  OAI收割 JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2024, 页码: 13 作者:  Qi, Jifeng;  Sun, Guimin;  Xie, Bowen;  Li, Delei;  Yin, Baoshu   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/04/07 machine learning  convolutional neural network (CNN)  ocean subsurface salinity structure (OSSS)  Indian Ocean  satellite observations   Weakly Supervised Object Localization with Background Suppression Erasing for Art Authentication and Copyright Protection 期刊论文  OAI收割 Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 89-103 作者:  Chaojie Wu   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/01/25 Weakly supervised object localization, erasing method, deep learning, computer vision, art authentication and copyright protection   Fusion Networks of CNN and Transformer with Channel Attention for Accurate Tumor Imaging in Magnetic Particle Imaging 期刊论文  OAI收割 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：17/0  |  提交时间：2024/03/26 magnetic particle imaging  convolutional neural network  transformer  tumor imaging  accurate quantification   IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 329-341 作者:  Feng, Cheng;  Chen, Zhen;  Zhang, Congxuan;  Hu, Weiming;  Li, Bing   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/03/26 Estimation  Iterative methods  Cameras  Task analysis  Feature extraction  Decoding  Training  Monocular depth estimation  iterative refinement  self-supervised learning  deep learning