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• 合肥物质科学研究院 [7]
• 地理科学与资源研究所 [5]
• 西安光学精密机械研究... [3]
• 成都山地灾害与环境研... [2]
• 长春光学精密机械与物... [2]
• 数学与系统科学研究院 [2]
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• OAI收割 [36]
• iSwitch采集 [3]

内容类型

• 期刊论文 [34]
• 会议论文 [3]
• SCI/SSCI论文 [1]
• 学位论文 [1]

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• 2023 [2]
• 2022 [3]
• 2021 [2]
• 2020 [6]
• 2019 [6]
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学科主题

• Computer S... [1]
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筛选

浏览/检索结果: 共39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 Rice Identification Under Complex Surface Conditions with CNN and Integrated Remote Sensing Spectral-Temporal-Spatial Features 期刊论文  OAI收割 Photogrammetric Engineering and Remote Sensing, 2023, 卷号: 89, 期号: 12, 页码: 741-752 作者:  Liu, Tianjiao;  Duan, Sibo;  Chen, Jiankui;  Zhang, Li;  Li, Dong   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/01/26 Complex networks  Convolutional neural networks  Neural network models  Support vector machines   A Perifacial EMG Acquisition System for Facial-Muscle-Movement Recognition 期刊论文  OAI收割 Sensors, 2023, 卷号: 23, 期号: 21, 页码: 19 作者:  Jianhang Zhang;  Shucheng Huang;  Jingting Li;  Yan Wang;  Zizhao Dong   |  收藏  |  浏览/下载：17/0  |  提交时间：2023/11/27 facial-muscle movement  electromyography  support vector machine  random forest  backpropagation neural network   Recent advances in the application of machine learning methods to improve identification of the microplastics in environment 期刊论文  OAI收割 CHEMOSPHERE, 2022, 卷号: 307, 页码: 7 作者:  Lin, Jia-yu;  Liu, Hong-tao;  Zhang, Jun   |  收藏  |  浏览/下载：29/0  |  提交时间：2022/11/09 Machine learning  Microplastics  Identification  Quantification  Support vector machine  Artificial neural network   Recent advances in the application of machine learning methods to improve identification of the microplastics in environment 期刊论文  OAI收割 CHEMOSPHERE, 2022, 卷号: 307, 页码: 7 作者:  Lin, Jia-yu;  Liu, Hong-tao;  Zhang, Jun   |  收藏  |  浏览/下载：32/0  |  提交时间：2022/11/09 Machine learning  Microplastics  Identification  Quantification  Support vector machine  Artificial neural network   CNN-SVR用于MAX-DOAS预测对流层NO_2廓线 期刊论文  OAI收割 光学学报, 2022, 卷号: 42 作者:  潘屹峰;  田鑫;  谢品华;  李昂;  徐晋   |  收藏  |  浏览/下载：11/0  |  提交时间：2023/11/10 atmospheric optics  convolutional neural network  support vector regression machine  multi-axis differential absorption spectroscopy  tropospheric NO_2 profile  大气光学  卷积神经网络  支持向量回归机  多轴差分吸收光谱  对流层NO_2廓线   Classification of Pneumonia Images Based on Improved VGG19 Convolutional Neural Network (Invited) 期刊论文  OAI收割 Guangzi Xuebao/Acta Photonica Sinica, 2021, 卷号: 50, 期号: 10 作者:  Xiong, Feng   |  收藏  |  浏览/下载：49/0  |  提交时间：2021/12/13 Pneumonia image classification  Convolution neural network  Deep learning  VGG19  Support vector machine  eXtreme Gradient Boosting   Research on Fault Diagnosis Method of Rod Pumping Wells Based on CNN_APRCSO_SVM 会议论文  OAI收割 Chicago, May 26-28, 2021 作者:  Wang MX(王明新);  Zang CZ(臧传治);  Ji ZP(纪振平);  He YP(贺云鹏);  Zeng P(曾鹏)   |  收藏  |  浏览/下载：45/0  |  提交时间：2021/08/21 Rod pumping well  Fault diagnosis  Indicator diagrams  Convolutional neural network (CNN)  Support vector machine (SVM)  Chicken swarm optimization (CSO)  Algorithm optimization   Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 12, 页码: 8246-8257 作者:  Mou, Lichao;  Lu, Xiaoqiang;  Li, Xuelong;  Zhu, Xiao Xiang   |  收藏  |  浏览/下载：44/0  |  提交时间：2020/12/21 Hyperspectral imaging  Convolution  Task analysis  Recurrent neural networks  Semisupervised learning  Support vector machines  Graph convolutional network (GCN)  hyperspectral image classification  nonlocal graph  semisupervised learning   Probe Efficient Feature Representation of Gapped K-mer Frequency Vectors from Sequences Using Deep Neural Networks 期刊论文  OAI收割 IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 卷号: 17, 期号: 2, 页码: 657-667 作者:  Cao, Zhen;  Zhang, Shihua   |  收藏  |  浏览/下载：23/0  |  提交时间：2020/05/24 DNA  Bioinformatics  Kernel  Feature extraction  Support vector machines  Genomics  Task analysis  Bioinformatics  machine learning  gapped k-mer  deep neural network  transcription factor binding site prediction   Application of Machine Learning to Predict Grain Boundary Embrittlement in Metals by Combining Bonding-Breaking and Atomic Size Effects 期刊论文  OAI收割 MATERIALS, 2020, 卷号: 13 作者:  Wu, Xuebang;  Wang, Yu-xuan;  He, Kan-ni;  Li, Xiangyan;  Liu, Wei   |  收藏  |  浏览/下载：40/0  |  提交时间：2020/11/26 grain boundary embrittlement  machine learning  strengthening energy  support vector machine  artificial neural network