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浏览/检索结果: 共21条，第1-10条 帮助 限定条件 发表日期：2020    专题：地理科学与资源研究所    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 Predicting future locations of moving objects with deep fuzzy-LSTM networks 期刊论文 TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2020, 卷号: 16, 期号: 1, 页码: 119-136 作者:  Li, Mingxiao;  Lu, Feng;  Zhang, Hengcai;  Chen, Jie 收藏  |  浏览/下载：13/0  |  提交时间：2020/05/19 Location prediction  fuzzy space partition  mobile phone data  trajectory data mining  deep learning   Automatic extraction of wheat lodging area based on transfer learning method and deeplabv3+network 期刊论文 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 卷号: 179, 页码: 8 作者:  Zhang, Dongyan;  Ding, Yang;  Chen, Pengfei;  Zhang, Xiangqian;  Pan, Zhenggao 收藏  |  浏览/下载：92/0  |  提交时间：2021/03/15 Wheat lodging  Multiple growth stages  Deep learning  Transfer learning  DeepLabv3+network   Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke 期刊论文 ENVIRONMENT INTERNATIONAL, 2020, 卷号: 145, 页码: 16 作者:  Li, Lianfa;  Girguis, Mariam;  Lurmann, Frederick;  Pavlovic, Nathan;  McClure, Crystal 收藏  |  浏览/下载：123/0  |  提交时间：2021/03/16 PM2.5  Machine learning  Air pollution exposure  Wildfires  Remote sensing  California  High spatiotemporal resolution   A PM2.5 concentration prediction model based on multi-task deep learning for intensive air quality monitoring stations 期刊论文 JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 275, 页码: 13 作者:  Zhang, Qiang;  Wu, Shun;  Wang, Xiangwen;  Sun, Binzhen;  Liu, Haimeng 收藏  |  浏览/下载：18/0  |  提交时间：2021/03/16 PM(2.5)prediction  Multi-task deep learning  Artificial intelligence  Intensive monitoring stations  Lanzhou city   Deep learning: To better understand how human activities affect the value of ecosystem services-A case study of Nanjing 期刊论文 PLOS ONE, 2020, 卷号: 15, 期号: 10, 页码: 16 作者:  Liu, Chang;  Qi, Yi;  Wang, Zhenbo;  Yu, Junlan;  Li, Shan 收藏  |  浏览/下载：11/0  |  提交时间：2021/03/16 Internal Learning for Image Super-Resolution by Adaptive Feature Transform 期刊论文 SYMMETRY-BASEL, 2020, 卷号: 12, 期号: 10, 页码: 19 作者:  He, Yifan;  Cao, Wei;  Du, Xiaofeng;  Chen, Changlin 收藏  |  浏览/下载：10/0  |  提交时间：2021/03/16 super-resolution  internal learning  feature transform  deep convolutional neural network   Estimating Land Surface Temperature from Satellite Passive Microwave Observations with the Traditional Neural Network, Deep Belief Network, and Convolutional Neural Network 期刊论文 REMOTE SENSING, 2020, 卷号: 12, 期号: 17, 页码: 27 作者:  Wang, Shaofei;  Zhou, Ji;  Lei, Tianjie;  Wu, Hua;  Zhang, Xiaodong 收藏  |  浏览/下载：17/0  |  提交时间：2021/03/16 land surface temperature  neural network  deep belief network  convolutional neural network  passive microwave   Quantifying the Urban Visual Perception of Chinese Traditional-Style Building with Street View Images 期刊论文 APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 17, 页码: 19 作者:  Zhang, Liying;  Pei, Tao;  Wang, Xi;  Wu, Mingbo;  Song, Ci 收藏  |  浏览/下载：14/0  |  提交时间：2021/03/16 urban perception  Chinese traditional-style building  street view images  view indicator  deep learning   Multi-Scale Residual Deep Network for Semantic Segmentation of Buildings with Regularizer of Shape Representation 期刊论文 REMOTE SENSING, 2020, 卷号: 12, 期号: 18, 页码: 21 作者:  Wang, Chengyi;  Li, Lianfa 收藏  |  浏览/下载：4/0  |  提交时间：2021/03/16 multiple scales  residual deep ensemble learning  regularizer  shape representation  semantic segmentation of buildings   A Deep Neural Networks Approach for Augmenting Samples of Land Cover Classification 期刊论文 LAND, 2020, 卷号: 9, 期号: 8, 页码: 17 作者:  Zhao, Chuanpeng;  Huang, Yaohuan 收藏  |  浏览/下载：5/0  |  提交时间：2021/03/16 sample augment  deep neural network  small size samples  land cover  object-based image analysis