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Chinese Academy of Sciences Institutional Repositories Grid
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自动化研究所 [8]
地理科学与资源研究所 [7]
昆明植物研究所 [6]
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OAI收割 [42]
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期刊论文 [26]
学位论文 [11]
会议论文 [4]
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Regional ecosystem services relationships and their potential driving factors in the Yellow River Basin, China
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2023, 卷号: 33, 期号: 4, 页码: 863-884
作者:
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/06/10
ecosystem services
trade-offs and synergies
redundancy analysis
human-earth system coordination
Yellow River Basin
Free-Viewpoint Navigation of Indoor Scene with 360ffi Field of View
期刊论文
OAI收割
ELECTRONICS, 2023, 卷号: 12, 期号: 8, 页码: 16
作者:
Xu, Hang
;
Zhao, Qiang
;
Ma, Yike
;
Wang, Shuai
;
Yan, Chenggang
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/12/04
viewpoint navigation
360 degrees field of view
multi-view stereo
real-time rendering
Regional ecosystem services relationships and their potential driving factors in the Yellow River Basin,China
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2023, 卷号: 33, 期号: 4, 页码: 863
作者:
Shao Yajing
;
Liu Yansui
;
Li Yuheng
;
Yuan Xuefeng
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/06/29
ecosystem services
trade-offs and synergies
redundancy analysis
human-earth system coordination
Yellow River Basin
Innovative Services for Electric Mobility Based on Virtual Sensors and Petri Nets
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1845-1859
作者:
Agostino Marcello Mangini
;
Michele Roccotelli
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/08/10
Charge point booking
electric mobility
EV charging
Petri Net
virtual sensor
Ecological carrying capacity and sustainability assessment for coastal zones: A novel framework based on spatial scene and three-dimensional ecological footprint model
期刊论文
OAI收割
ECOLOGICAL MODELLING, 2022, 卷号: 466, 页码: 16
作者:
Tang, Yuzhi
;
Wang, Mengdi
;
Liu, Qian
;
Hu, Zhongwen
;
Zhang, Jie
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/09/21
Coastal zone
Ecological carrying capacity
Spatial scene
Three-dimensional ecological footprint
Guangdong-Hong Kong-Macao Greater Bay
Area
Ecological carrying capacity and sustainability assessment for coastal zones: A novel framework based on spatial scene and three-dimensional ecological footprint model
期刊论文
OAI收割
ECOLOGICAL MODELLING, 2022, 卷号: 466, 页码: 16
作者:
Tang, Yuzhi
;
Wang, Mengdi
;
Liu, Qian
;
Hu, Zhongwen
;
Zhang, Jie
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/09/21
Coastal zone
Ecological carrying capacity
Spatial scene
Three-dimensional ecological footprint
Guangdong-Hong Kong-Macao Greater Bay
Area
AN INTELLIGENT REMOTE EXERGAME SYSTEM FOR KNEE OSTEOARTHRITIS REHABILITA- TION TRAINING
期刊论文
OAI收割
ACTA MEDICA MEDITERRANEA, 2022, 卷号: 38
作者:
Wang, Guangjun
;
Fan, Yi
;
Wu, Ming
;
Jin, Xin
;
Zhang, Hanyuan
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收藏
  |  
浏览/下载:39/0
  |  
提交时间:2022/03/28
Exercise therapy
home exercise
knee osteoarthritis
kinect
exercise game
process evaluation
Molecular and morphological evidence for a new species of Isodon (Lamiaceae) from southern China
期刊论文
OAI收割
PLANT DIVERSITY, 2021, 卷号: 43, 期号: 1, 页码: 54-62
作者:
Chen,Ya-Ping
;
Huang,Cun-Zhong
;
Zhao,Yue
;
Xiang,Chun-Lei
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收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/04/02
Himalaya-Hengduan
Mountains region
Isodoninae
Mericarp Sino-Japanese region
PHYLOGENETIC ANALYSIS
YUNNAN PROVINCE
NEPETOIDEAE
Rhododendron kuomeianum (Ericaceae), a new species from northeastern Yunnan (China), based on morphological and genomic data
期刊论文
OAI收割
PLANT DIVERSITY, 2021, 卷号: 43, 期号: 4, 页码: 292-298
作者:
Chang,Yu-Hang
;
Yao,Gang
;
Neilsen,Jens
;
Liu,De-Tuan
;
Zhang,Lu
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/04/02
Rhododendron
New species
RAD-seq
Phylogenetic position
GUIZHOU
Medical Term and Status Generation From Chinese Clinical Dialogue With Multi-Granularity Transformer
期刊论文
OAI收割
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2021, 卷号: 29, 页码: 3362-3374
作者:
Li, Mei
;
Xiang, Lu
;
Kang, Xiaomian
;
Zhao, Yang
;
Zhou, Yu
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/12/28
Medical diagnostic imaging
Transformers
Task analysis
Medical services
Computational modeling
Semantics
Data mining
Medical dialogue
multi-granularity
attention mechanism
natural language understanding
sequence to sequence learning