中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [9]
宁波材料技术与工程研... [4]
深圳先进技术研究院 [1]
成都山地灾害与环境研... [1]
广州地球化学研究所 [1]
苏州纳米技术与纳米仿... [1]
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采集方式
OAI收割 [21]
内容类型
期刊论文 [20]
CNKI期刊论文 [1]
发表日期
2024 [7]
2023 [3]
2022 [1]
2021 [2]
2019 [1]
2018 [3]
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学科主题
Materials ... [2]
Metallurgy... [1]
Physics [1]
Science & ... [1]
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浏览/检索结果:
共21条,第1-10条
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Review, framework, and future perspectives of Geographic Knowledge Graph (GeoKG) quality assessment
期刊论文
OAI收割
GEO-SPATIAL INFORMATION SCIENCE, 2024, 卷号: N/A
作者:
Wang, Shu
;
Qiu, Peiyuan
;
Zhu, Yunqiang
;
Yang, Jie
;
Peng, Peng
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2024/10/21
Geographic Knowledge Graph (GeoKG)
Quality Assessment
Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)
assessment indicators
metrics
quality evaluation
Geospatial Artificial Intelligence (GeoAI)
Distribution and migration of rare earth elements in sediment profile near a decommissioned uranium hydrometallurgical site in South China: Environmental implications
期刊论文
OAI收割
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 卷号: 366, 页码: 12
作者:
Sun, Mengqing
;
Liu, Juan
;
Lin, Ke
;
Yuan, Wenhuan
;
Liang, Xiaoliang
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/09/13
Environmental contamination
Anthropogenic activity
Ecological risk
Mineral composition
Distribution and migration of rare earth elements in sediment profile near a decommissioned uranium hydrometallurgical site in South China: Environmental implications
期刊论文
OAI收割
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 卷号: 366, 页码: 12
作者:
Sun, Mengqing
;
Liu, Juan
;
Lin, Ke
;
Yuan, Wenhuan
;
Liang, Xiaoliang
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/10/08
Environmental contamination
Anthropogenic activity
Ecological risk
Mineral composition
Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions
期刊论文
OAI收割
ENVIRONMENTAL MODELLING & SOFTWARE, 2024, 卷号: 179, 页码: 22
作者:
Jiang, Hu
;
Zou, Qiang
;
Zhu, Yunqiang
;
Li, Yong
;
Zhou, Bin
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/10/08
Spatiotemporal prediction
Rainfall-driven debris flow
Deep learning
Machine learning
Rainfall features
Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions
期刊论文
OAI收割
ENVIRONMENTAL MODELLING & SOFTWARE, 2024, 卷号: 179, 页码: 22
作者:
Jiang, Hu
;
Zou, Qiang
;
Zhu, Yunqiang
;
Li, Yong
;
Zhou, Bin
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2024/08/14
Spatiotemporal prediction
Rainfall-driven debris flow
Deep learning
Machine learning
Rainfall features
DePNR: A DeBERTa-based deep learning model with complete position embedding for place name recognition from geographical literature
期刊论文
OAI收割
TRANSACTIONS IN GIS, 2024, 卷号: N/A
作者:
Li, Weirong
;
Sun, Kai
;
Wang, Shu
;
Zhu, Yunqiang
;
Dai, Xiaoliang
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2024/06/17
GeoTPE: A neural network model for geographical topic phrases extraction from literature based on BERT enhanced with relative position embedding
期刊论文
OAI收割
EXPERT SYSTEMS WITH APPLICATIONS, 2024, 卷号: 235, 页码: 14
作者:
Li, Weirong
;
Sun, Kai
;
Zhu, Yunqiang
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2023/10/09
GeoTPE
Geographical topic phrases
Geographical literature
BERT
Neural network
Relative position embedding
地球科学知识图谱比较分析与启示:构建方法与内容视角
期刊论文
OAI收割
高校地质学报, 2023, 卷号: 29, 期号: 03, 页码: 382-394
作者:
诸云强
;
孙凯
;
李威蓉
;
王曙
;
宋佳
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2023/07/11
地学知识图谱
地学知识
地学本体
形式化表达
人工智能
地球科学知识图谱一站式共享服务系统
期刊论文
OAI收割
高校地质学报, 2023, 卷号: 29, 期号: 03, 页码: 325-336
作者:
诸云强
;
代小亮
;
杨杰
;
王曙
;
孙凯
  |  
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2023/07/11
地球科学
知识图谱
一站式
集成共享
服务系统
Examining the Spatially Varying Relationships between Landslide Susceptibility and Conditioning Factors Using a Geographical Random Forest Approach: A Case Study in Liangshan, China
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 6, 页码: 1513
作者:
Dai, Xiaoliang
;
Zhu, Yunqiang
;
Sun, Kai
;
Zou, Qiang
;
Zhao, Shen
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/05/06
landslide susceptibility
geographical random forest
spatial heterogeneity
local feature importance
spatial cross validation