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科研机构
北京大学 [40]
厦门大学 [19]
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重庆大学 [6]
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期刊论文 [135]
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A Novel Approach for Predictable Governance of Decentralized Autonomous Organizations Based on Parallel Intelligence
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 12
作者:
Ding, Wenwen
;
Liang, Xiaolong
;
Hou, Jiachen
;
Li, Juanjuan
;
Rouabah, Younes
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2023/01/09
Blockchain
decentralized autonomous organizations (DAOs)
GnosisDAO
parallel governance
parallel intelligence
smart contracts
The Transition Mechanism and Revitalization Path of Rural Industrial Land from a Spatial Governance Perspective: The Case of Shunde District, China
期刊论文
LAND, 2021, 卷号: 10, 期号: 7, 页码: 19
作者:
Zhang, Lianma
;
Ge, Dazhuan
;
Sun, Pan
;
Sun, Dongqi
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/08/19
rural industrial land
rural spatial governance
land-use transition
rural revitalization
Enhancement of mechanical properties and conductivity in carbon nanotubes (CNTs)/Cu matrix composite by surface and intratube decoration of CNTs
期刊论文
Materials Science and Engineering A, 2021, 卷号: 816
作者:
Wei, Xia
;
Tao, Jingmei
;
Hu, Yong
;
Liu, Yichun
;
Bao, Rui
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2021/06/03
Ball milling
Copper
Copper oxides
Ductility
Electric conductivity
Interfaces (materials)
Metallic matrix composites
Reinforced plastics
Reinforcement
Shear stress
Yarn
Conductivity
Cu matrix composites
Cu nano-particles
CuO nanoparticles
Inner walls
matrix
Matrix strength
Mechanical
Property
Strength and ductilities
Global Dryland Ecosystem Programme (G-DEP): Africa consultative meeting report
期刊论文
JOURNAL OF ARID LAND, 2020, 页码: 7
作者:
Peng Yu
;
Fu Bojie
;
Zhang Linxiu
;
Yu Xiubo
;
Fu Chao
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2021/03/23
Africa
Global Dryland Ecosystem Programme (G-DEP)
dryland
ecosystem
consultation
Sustainable Development Goals
Great Green Wall Initiative (GGWI)
Global Dryland Ecosystem Programme (G-DEP): Africa consultative meeting report
期刊论文
JOURNAL OF ARID LAND, 2020, 卷号: 12, 期号: 3, 页码: 538-544
作者:
Peng Yu
;
Fu Bojie
;
Zhang Linxiu
;
Yu Xiubo
;
Fu Chao
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2021/08/31
Africa
Global Dryland Ecosystem Programme (G-DEP)
dryland
ecosystem
consultation
Sustainable Development Goals
Great Green Wall Initiative (GGWI)
Understanding the economic impact of interacting carbon pricing and renewable energy policy in China
期刊论文
REGIONAL ENVIRONMENTAL CHANGE, 2020, 卷号: 20, 期号: 74, 页码: 1-11
作者:
Wu, Jie
;
Fan, Ying
;
Timilsina, Govinda
;
Xia, Yan
;
Guo, Renyong
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/01/16
DeepDCA: Novel Network-Based Detection of IoT Attacks Using Artificial Immune System
期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 6, 页码: 1-23
作者:
Aldhaheri, S (Aldhaheri, Sahar)[ 1 ]
;
Alghazzawi, D (Alghazzawi, Daniyal)[ 1 ]
;
Cheng, L (Cheng, Li)[ 2 ]
;
Alzahrani, B (Alzahrani, Bander)[ 1 ]
;
Al-Barakati, A (Al-Barakati, Abdullah)[ 1 ]
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/12/11
artificial intelligence
artificial immune system
cyber security
danger theory
deep learning
dendritic cell
internet of things
IoT
network security
Global Dryland Ecosystem Programme(G-DEP):Africa consultative meeting report
期刊论文
干旱区科学:英文版, 2020, 卷号: 12.0, 期号: 003, 页码: 538
作者:
PENG Yu
;
FU Bojie
;
ZHANG Linxiu
;
YU Xiubo
;
FU Chao
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2021/03/16
Africa
Global
Dryland
Ecosystem
Programme(G-DEP)
dryland
ecosystem
consultation
Sustainable
Development
Goals
Great
Green
Wall
Initiative(GGWI)
Polydopamine nanospheres as high-affinity signal tag towards lateral flow immunoassay for sensitive furazolidone detection
期刊论文
FOOD CHEMISTRY, 2020, 卷号: 315
作者:
Liu, Sijie
;
Dou, Leina
;
Yao, Xiaolin
;
Zhang, Wentao
;
Zhao, Bingxin
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/11/25
Lateral flow immunoassay
Furazolidone
Polydopamine nanospheres
Binding stability
Guided Policy Search for Sequential Multitask Learning
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2019, 卷号: 49, 期号: 1, 页码: 216-226
作者:
Xiong, Fangzhou
;
Sun, Biao
;
Yang, Xu
;
Qiao, Hong
;
Huang, Kaizhu
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2019/07/12
Elastic weight consolidation (EWC)
guided policy search (GPS)
reinforcement learning (RL)
sequential multitask learning
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