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浏览/检索结果: 共484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 CG-CFPANet: a multi-task network for built-up area extraction from SDGSAT-1 and Sentinel-2 remote sensing images 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 19 作者:  Wang, Lei;  Ye, Cheng;  Chen, Fang;  Wang, Ning;  Li, Congrong   |  收藏  |  浏览/下载：20/0  |  提交时间：2024/03/04 Built-up area  deep learning  remote sensing image  SDGSAT-1  semantic segmentation   Unleashing the full potential of hyperspectral imaging: Decoupled image and frequency-domain spatial-spectral framework 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2024, 卷号: 243, 页码: 20 作者:  He, Shuang;  Tian, Jia;  Hao, Lina;  Zhang, Sen;  Tian, Qingjiu   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/02/18 Frequency domain  Feature extraction  Cross-domain fusion  Hyperspectral image classification   Spectral encoder to extract the efficient features of Raman spectra for reliable and precise quantitative analysis 期刊论文  OAI收割 Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 2024, 卷号: 312 作者:  Gao, Chi;  Fan, Qi;  Zhao, Peng;  Sun, Chao;  Dang, Ruochen   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/04/08 Raman spectroscopy  Quantitative analysis  Deep learning  Spectral encoder  Feature extraction   TA-denseNet: Efficient hardware trust and assurance model based on feature extraction and comparison of SEM images and GDSII images 期刊论文  OAI收割 INTEGRATION-THE VLSI JOURNAL, 2024, 卷号: 95, 页码: 9 作者:  Xiao, Wei;  Zhao, Fazhan;  Zhao, Kun;  Ma, Hongtu;  Li, Qing   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/02/20 Scanning electron microscopy  Deep learning  Hardware trust and assurance  Integrated circuit   Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions 期刊论文  OAI收割 RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 卷号: 242, 页码: 13 作者:  Li, Yuan;  Li, Jingwei;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/02/22 Remaining useful life  Ensemble learning  Attention mechanism  Convolutional neural network  Transfer learning   Hierarchical U-net with re-parameterization technique for spatio-temporal weather forecasting 期刊论文  OAI收割 MACHINE LEARNING, 2024, 页码: 19 作者:  Xu, Baowen;  Wang, Xuelei;  Li, Jingwei;  Liu, Chengbao   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/02/21 Spatio-temporal weather forecasting  U-Net  Re-parameterization   Rapid Determination of Positive-Negative Bacterial Infection Based on Micro-Hyperspectral Technology 期刊论文  OAI收割 SENSORS, 2024, 卷号: 24, 期号: 2 作者:  Du, Jian;  Tao, Chenglong;  Qi, Meijie;  Hu, Bingliang;  Zhang, Zhoufeng   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/03/04 micro-hyperspectral technology  bacterial infection  positive-negative determination  spectral feature  directly smeared urine sample  deep learning   A Soft Sensor with Light and Efficient Multi-scale Feature Method for Multiple Sampling Rates in Industrial Processing 期刊论文  OAI收割 Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 400-410 作者:  Dezheng Wang   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/04/03 Multi-scale, feature extractor, deep neural network (DNN), multirate sampled industrial processes, prediction   CLDRNet: A Difference Refinement Network Based on Category Context Learning for Remote Sensing Image Change Detection 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 2133-2148 作者:  Wan, Ling;  Tian, Ye;  Kang, Wenchao;  Ma, Lei   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/02/20 Feature extraction  Task analysis  Remote sensing  Transformers  Deep learning  Semantics  Support vector machines  Category context learning (CCL)  clustering learning (CL)  difference map refinement (DMR)  optical remote sensing image  change detection (CD)   Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 982-995 作者:  Tao Wang;  Qiming Chen;  Xun Lang;  Lei Xie;  Peng Li   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/03/18 Convolutional neural networks (CNNs)  deep learning  image processing  oscillation detection  process industries