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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 专题：深海科学与工程研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Deep Subsurface Pseudo-Lithostratigraphic Modeling Based on Three-Dimensional Convolutional Neural Network (3D CNN) Using Inversed Geophysical Properties and Shallow Subsurface Geological Model 期刊论文 LITHOSPHERE, 2024, 卷号: 2024, 期号: 1, 页码: 19 作者:  Zhang, Baoyi;  Xu, Zhanghao;  Wei, Xiuzong;  Song, Lei;  Shah, Syed Yasir Ali 收藏  |  浏览/下载：0/0  |  提交时间：2024/05/27 A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China 期刊论文 ORE GEOLOGY REVIEWS, 2023, 卷号: 163, 页码: 20 作者:  Zhang, Baoyi;  Xu, Kun;  Khan, Umair;  Li, Xuefeng;  Du, Linze 收藏  |  浏览/下载：3/0  |  提交时间：2024/01/22 3D geological models  Convolutional neural networks  Deconvolution  Weight of evidence  3D mineral prospectivity modeling   Machine learning-based impedance system for real-time recognition of antibiotic-susceptible bacteria with parallel cytometry 期刊论文 Sensors and Actuators B: Chemical, 2023, 卷号: 374, 期号: 132698, 页码: 无 作者:  Tao Tang;  Xun Liu;  Yapeng Yuan;  Ryota Kiya;  Tianlong Zhang 收藏  |  浏览/下载：12/0  |  提交时间：2022/12/09 Antibiotic susceptibility test  Impedance cytometry  Machine learning  Microfluidics  Single cell analysis   Feature Pyramid U-Net with Attention for Semantic Segmentation of Forward-Looking Sonar Images 期刊论文 SENSORS, 2022, 卷号: 22, 期号: 21, 页码: 22 作者:  Zhao, Dongdong;  Ge, Weihao;  Chen, Peng;  Hu, Yingtian;  Dang, Yuanjie 收藏  |  浏览/下载：7/0  |  提交时间：2022/12/19 forward-looking sonar  sonar image segmentation  semantic segmentation  attention mechanism  convolution neural network   Learning dynamics of kernel-based deep neural networks in manifolds 期刊论文 SCIENCE CHINA-INFORMATION SCIENCES, 2021, 卷号: 64, 期号: 11, 页码: 15 作者:  Wu, Wei;  Jing, Xiaoyuan;  Du, Wencai;  Chen, Guoliang 收藏  |  浏览/下载：1/0  |  提交时间：2022/05/26 learning dynamics  kernel-based convolution  manifolds  control model  network stability