机构

• 地理科学与资源研究所 [3]
• 金属研究所 [1]
• 广州地球化学研究所 [1]
• 烟台海岸带研究所 [1]

采集方式

• OAI收割 [6]

内容类型

• 期刊论文 [6]

发表日期

• 2025 [1]
• 2022 [1]
• 2021 [2]
• 2019 [2]

学科主题

筛选

浏览/检索结果: 共6条，第1-6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 An adaptive OD flow clustering method to identify heterogeneous urban mobility trends 期刊论文  OAI收割 JOURNAL OF TRANSPORT GEOGRAPHY, 2025, 卷号: 123, 页码: 14 作者:  Guo, Xiaogang;  Fang, Mengyuan;  Tang, Luliang;  Kan, Zihan;  Yang, Xue   |  收藏  |  浏览/下载：8/0  |  提交时间：2025/03/03 OD flow clustering  OPTICS  Spatial statistics  Density heterogeneity  Urban mobility   Heterogeneous precipitate microstructure in titanium alloys for simultaneous improvement of strength and ductility 期刊论文  OAI收割 JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2022, 卷号: 124, 页码: 150-163 作者:  Hao, Mengyuan;  Li, Pei;  Li, Xuexiong;  Zhang, Tianlong;  Wang, Dong   |  收藏  |  浏览/下载：65/0  |  提交时间：2022/07/01 Titanium alloys  Phase field simulation  Crystal plasticity finite element  Two-step aging  Pseudospinodal decomposition mechanisms  Multiscale heterogeneous microstructure   Insights into Persistent Toxic Substances in Protective Cases of Mobile Phones: Occurrence, Health Risks, and Implications 期刊论文  OAI收割 ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2021, 卷号: 55, 期号: 9, 页码: 6076-6086 作者:  Li, Qilu;  Yuan, Meng;  Shangguan, Jingfang;  Guo, Mengran;  Wu, Jiajia   |  收藏  |  浏览/下载：93/0  |  提交时间：2021/10/20 Insights into Persistent Toxic Substances in Protective Cases of Mobile Phones: Occurrence, Health Risks, and Implications 期刊论文  OAI收割 ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2021, 卷号: 55, 期号: 9, 页码: 6076-6086 作者:  Li, Qilu;  Yuan, Meng;  Shangguan, Jingfang;  Guo, Mengran;  Wu, Jiajia   |  收藏  |  浏览/下载：17/0  |  提交时间：2022/10/31 Accurate Building Extraction from Fused DSM and UAV Images Using a Chain Fully Convolutional Neural Network 期刊论文  OAI收割 REMOTE SENSING, 2019, 卷号: 11, 期号: 24, 页码: 18 作者:  Liu, Wei;  Yang, MengYuan;  Xie, Meng;  Guo, Zihui;  Li, ErZhu   |  收藏  |  浏览/下载：41/0  |  提交时间：2020/05/19 building extraction  digital surface model  unmanned aerial vehicle images  chain full convolution neural network  fusion   Accurate Building Extraction from Fused DSM and UAV Images Using a Chain Fully Convolutional Neural Network 期刊论文  OAI收割 REMOTE SENSING, 2019, 卷号: 11, 期号: 24, 页码: 18 作者:  Liu, Wei;  Yang, MengYuan;  Xie, Meng;  Guo, Zihui;  Li, ErZhu   |  收藏  |  浏览/下载：27/0  |  提交时间：2020/05/19 building extraction  digital surface model  unmanned aerial vehicle images  chain full convolution neural network  fusion