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浏览/检索结果:
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Palladium-Catalyzed Tandem Carbonylative Aza-Wacker-Type Cyclization of Nucleophile Tethered Alkene to Access Fused N-Heterocycles
期刊论文
Chinese Journal of Chemistry, 2021, 卷号: 39, 期号: 2, 页码: 317-322
作者:
Shi Lijun
;
Wen Mingshan
;
Li Fuwei
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/11/20
Palladium
Tandem reaction
Carbonylation
Heterocycles
Alkenes
RON-enhanced blockchain propagation mechanism for edge-enabled smart cities
期刊论文
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2021, 卷号: 61, 页码: 10
作者:
Huang, Junjie
;
Tan, Liang
;
Li, Wenjuan
;
Yu, Keping
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  |  
浏览/下载:17/0
  |  
提交时间:2021/12/01
Blockchain fork
Resilient overlay network
Propagation delay
Gossip
Optimal propagation mechanism
QoE-Driven Edge Caching in Vehicle Networks Based on Deep Reinforcement Learning
期刊论文
IEEE Transactions on Vehicular Technology, 2021, 卷号: 70, 期号: 6, 页码: 5286-5295
作者:
Song CH(宋纯贺)
;
Xu WX(徐文想)
;
Wu TT(武婷婷)
;
Yu SM(于诗矛)
;
Zeng P(曾鹏)
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2021/06/01
Internet of vehicles
roadside units
cache update
quality of experience
deep reinforcement learning
Profit Maximization for Sponsored Data in Wireless Video Transmission Systems
期刊论文
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2020, 卷号: 19, 期号: 8, 页码: 1928-1942
作者:
Ji, Wen
;
Zhu, Wenwu
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  |  
浏览/下载:27/0
  |  
提交时间:2020/12/10
Streaming media
Pricing
Wireless communication
Quality of experience
Bandwidth
Data models
Broadcasting
Video transmission
sponsored data
submodular function
optimization
Optimized Preference-Aware Multi-Path Video Streaming with Scalable Video Coding
期刊论文
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2020, 卷号: 19, 期号: 1, 页码: 159-172
作者:
Elgabli, Anis
;
Liu, Ke
;
Aggarwal, Vaneet
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2020/12/10
Static VAr compensators
Streaming media
Prediction algorithms
Bandwidth
Video coding
Quality of experience
Optimization
Video streaming
multi-path
scalable video coding
video quality
stall duration
multi-path TCP
non convex optimization
A model predictive control approach for matching uncertain wind generation with PEV charging demand in a microgrid
期刊论文
International Journal of Electrical Power and Energy Systems, 2019, 卷号: 105, 页码: 488-499
作者:
Kou, Peng
;
Feng, Yutao
;
Liang, Deliang
;
Gao, Lin
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2019/11/19
Chebyshev inequalities
Model predictive controllers
Model-predictive control approach
Plugin electric vehicle (PEVs)
Quadratic programming problems
Quality of experience (QoE)
Stochastic optimization problems
Wind generator systems
Stochastic Computation Offloading and Scheduling Based on Mobile Edge Computing
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 72247-72256
作者:
Zheng, Xiao
;
Li, Mingchu
;
Tahir, Muhammad
;
Chen, Yuanfang
;
Alam, Muhammad
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  |  
浏览/下载:27/0
  |  
提交时间:2019/12/02
Quality-of-service (QoS)
quality of experience (QoE)
mobile device (MD)
mobile edge computing (MEC)
Markov decision process (MDP)
post-decision state
CACHING UNMANNED AERIAL VEHICLE-ENABLED SMALL-CELL NETWORKS Employing Energy-Efficient Methods That Store and Retrieve Popular Content
期刊论文
IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2019, 卷号: 14, 页码: 71-79
作者:
Zhao, Nan
;
Yu, F. Richard
;
Fan, Lisheng
;
Chen, Yunfei
;
Tang, Jie
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2019/12/02
Antennas
Energy efficiency
Energy utilization
Quality of service
Vehicle transmissions, Distributed caching
Energy efficient
Future wireless networks
Interference management
Quality of experience (QoE)
Small cell Networks
Transmission rates
Wireless backhaul, Unmanned aerial vehicles (UAV)
Enhancing Video QoE over High-Speed Train Using Segment-Based Prefetching and Caching
期刊论文
IEEE Multimedia, 2019, 卷号: 26, 页码: 55-66
作者:
Cao, Yue
;
Wang, Ning
;
Wu, Celimuge
;
Zhang, Xu
;
Suthaputchakun, Chakkaphong
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Learning QoE of Mobile Video Transmission With Deep Neural Network: A Data-Driven Approach
期刊论文
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2019, 卷号: 37, 页码: 1337-1348
作者:
Tao, Xiaoming
;
Duan, Yiping
;
Xu, Mai
;
Meng, Zhishen
;
Lu, Jianhua
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/30
Quality of experience
data collection
feature selection
data cleaning
deep learning
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