机构

• 地理科学与资源研究所 [4]
• 自动化研究所 [3]
• 过程工程研究所 [1]
• 重庆绿色智能技术研究... [1]
• 植物研究所 [1]

采集方式

• OAI收割 [10]

内容类型

• 期刊论文 [10]

发表日期

• 2023 [2]
• 2021 [3]
• 2020 [1]
• 2019 [2]
• 2018 [2]

学科主题

• Engineerin... [1]
• Geography,... [1]
• Imaging Sc... [1]
• Remote Sen... [1]

筛选

浏览/检索结果: 共10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 A deep learning approach using temporal-spatial data of computational fluid dynamics for fast property prediction of gas-solid fluidized bed 期刊论文  OAI收割 KOREAN JOURNAL OF CHEMICAL ENGINEERING, 2023, 卷号: 40, 期号: 1, 页码: 57-66 作者:  Qin, Pengfei;  Xia, Zhaojie;  Guo, Li   |  收藏  |  浏览/下载：0/0  |  提交时间：2023/05/19 Gas-solid Fluidized Bed  CFD Surrogate Model  Deep Learning  Multi-scale Convolutional Neural Network  Voidage Distribution Prediction   Pruning-aware Sparse Regularization for Network Pruning 期刊论文  OAI收割 Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 109-120 作者:  Nan-Fei Jiang   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/04/23 Deep learning  convolutional neural network (CNN)  model compression and acceleration  network pruning  regularization   An Improved Deep Learning Approach for Retrieving Outfalls Into Rivers From UAS Imagery 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 14 作者:  Huang, Yaohuan;  Wu, Chengbin;  Yang, Haijun;  Zhu, Haitao;  Chen, Mingxing   |  收藏  |  浏览/下载：35/0  |  提交时间：2022/09/21 Rivers  Visualization  Remote sensing  Manuals  Inspection  Water resources  Task analysis  Deep learning  digital surface model (DSM)  faster region convolutional neural network (R-CNN)  outfalls into river  unmanned aircraft systems (UAS) imagery   An Improved Deep Learning Approach for Retrieving Outfalls Into Rivers From UAS Imagery 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 14 作者:  Huang, Yaohuan;  Wu, Chengbin;  Yang, Haijun;  Zhu, Haitao;  Chen, Mingxing   |  收藏  |  浏览/下载：30/0  |  提交时间：2022/09/21 Rivers  Visualization  Remote sensing  Manuals  Inspection  Water resources  Task analysis  Deep learning  digital surface model (DSM)  faster region convolutional neural network (R-CNN)  outfalls into river  unmanned aircraft systems (UAS) imagery   Automatic Detection and Location of Weld Beads With Deep Convolutional Neural Networks 期刊论文  OAI收割 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 12 作者:  Yang, Lei;  Fan, Junfeng;  Liu, Yanhong;  Li, En;  Peng, Jinzhu   |  收藏  |  浏览/下载：80/0  |  提交时间：2021/03/08 Data augmentation  deep convolutional network model  object location  samples updating  semantic segmentation  weld bead   A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 3958-3974 作者:  Jin, Shichao;  Sun, Yanjun;  Zhao, Xiaoqian;  Hu, Tianyu;  Guo, Qinghua   |  收藏  |  浏览/下载：19/0  |  提交时间：2022/03/01 Digital terrain model (DTM)  deep learning  fully convolutional neural network (FCN)  ground filtering  light detection and ranging (LiDAR)   Aquaculture area extraction and vulnerability assessment in Sanduao based on richer convolutional features network model 期刊论文  OAI收割 JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2019, 卷号: 37, 期号: 6, 页码: 1941-1954 作者:  Liu Yueming;  Yang Xiaomei;  Wang Zhihua;  Lu Chen;  Li Zhi   |  收藏  |  浏览/下载：25/0  |  提交时间：2020/05/19 aquaculture area  vulnerability assessment  Richer Convolutional Features (RCF) network model  deep learning  high-resolution remote sensing   Aquaculture area extraction and vulnerability assessment in Sanduao based on richer convolutional features network model 期刊论文  OAI收割 JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2019, 卷号: 37, 期号: 6, 页码: 1941-1954 作者:  Liu Yueming;  Yang Xiaomei;  Wang Zhihua;  Lu Chen;  Li Zhi   |  收藏  |  浏览/下载：14/0  |  提交时间：2020/05/19 aquaculture area  vulnerability assessment  Richer Convolutional Features (RCF) network model  deep learning  high-resolution remote sensing   A hybrid feature model and deep learning based fault diagnosis for unmanned aerial vehicle sensors 期刊论文  OAI收割 Neurocomputing, 2018, 卷号: 319, 期号: 2018, 页码: 155-163 作者:  Guo, Dingfei;  Zhong, Maiying   |  收藏  |  浏览/下载：23/0  |  提交时间：2022/04/06 Model based fault diagnosis  Deep learning  Short-time fourier transform  Convolutional neural network  UAV sensors   Extensive exploration of comprehensive vehicle attributes using D-CNN with weighted multi-attribute strategy 期刊论文  OAI收割 IET INTELLIGENT TRANSPORT SYSTEMS, 2018, 卷号: 12, 期号: 3, 页码: 186-193 作者:  Yan, Zhuo;  Feng, Youji;  Cheng, Cheng;  Fu, Jianting;  Zhou, Xiangdong   |  收藏  |  浏览/下载：46/0  |  提交时间：2018/06/04 Object Recognition  Feedforward Neural Nets  Learning (Artificial Intelligence)  Comprehensive Vehicle Attributes  D-cnn  Weighted Multiattribute Strategy  Deep Convolutional Neural Network  Surveillance Images  Vehicle Model Recognition  Make Recognition  Mtl Methods  Multitask Learning  Compcars Vehicle Dataset  Manufacturer Recognition