CSpace

浏览/检索结果: 共6条,第1-6条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
A Computing Resource Adjustment Mechanism for Communication Protocol Processing in Centralized Radio Access Networks 期刊论文
CHINA COMMUNICATIONS, 2016, 卷号: 13, 期号: 12, 页码: 79-89
作者:  Zhai, Guowei;  Tian, Lin;  Zhou, Yiqing;  Sun, Qian;  Shi, Jinglin
收藏  |  浏览/下载:49/0  |  提交时间:2019/12/12
computing resource adjustment  communication protocol processing  cloud RAN  super BS  processing resource outage probability  optimized connected graph  
DianNao Family: Energy-Efficient Hardware Accelerators for Machine Learning 期刊论文
COMMUNICATIONS OF THE ACM, 2016, 卷号: 59, 期号: 11, 页码: 105-112
作者:  Chen, Yunji;  Chen, Tianshi;  Xu, Zhiwei;  Sun, Ninghui;  Temam, Olivier
收藏  |  浏览/下载:70/0  |  提交时间:2019/12/13
EcoUp: Towards Economical Datacenter Upgrading 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2016, 卷号: 27, 期号: 7, 页码: 1968-1981
作者:  Yan, Guihai;  Ma, Jun;  Han, Yinhe;  Li, Xiaowei
收藏  |  浏览/下载:61/0  |  提交时间:2019/12/13
Datacenter upgrading  cost efficiency  performance prediction  recommender systems  collaborative filtering  
DBR-MAC: A Depth-Based Routing Aware MAC Protocol for Data Collection in Underwater Acoustic Sensor Networks 期刊论文
IEEE SENSORS JOURNAL, 2016, 卷号: 16, 期号: 10, 页码: 3904-3913
作者:  Li, Chao;  Xu, Yongjun;  Diao, Boyu;  Wang, Qi;  An, Zhulin
收藏  |  浏览/下载:39/0  |  提交时间:2019/12/13
Cross-layer  depth-based  data collection  fairness  imbalance  underwater acoustic sensor networks  
DS-MMAC: A Delay-Sensitive Multi-Channel MAC Protocol for Ambient Assistant Living Systems 期刊论文
CHINA COMMUNICATIONS, 2016, 卷号: 13, 期号: 5, 页码: 38-46
作者:  Chen, Haiming;  Cui, Li
收藏  |  浏览/下载:38/0  |  提交时间:2019/12/13
ambient assistant living  multi-channel mac  channel switching  slot scheduling  channel assignment  
Boosted Near-miss Under-sampling on SVM ensembles for concept detection in large-scale imbalanced datasets 期刊论文
NEUROCOMPUTING, 2016, 卷号: 172, 页码: 198-206
作者:  Bao, Lei;  Juan, Cao;  Li, Jintao;  Zhang, Yongdong
收藏  |  浏览/下载:37/0  |  提交时间:2019/12/13
Concept learning  Large-scale  Imbalance  Ensmeble learnning  Support Vector Machine  Boosted  Near-miss  Under-sampling