Green city: An efficient task joint execution strategy for mobile micro-learning
Mobile micro-learning has received extensive attention in the research of smart cities because it is a novel fusion service mode of the mobile Internet, cloud computing, and micro-learning. However, due to the explosively increased applications of the mobile micro-learning and the limited resources...
Main Authors: | Li Yang, Ruijuan Zheng, Junlong Zhu, Mingchuan Zhang, Ruoshui Liu, Qingtao Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi - SAGE Publishing
2018-06-01
|
Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1177/1550147718780933 |
Similar Items
-
Sparse long short-term memory for information fusion in wireless sensor networks
by: Yangfan Zhou, et al.
Published: (2019-04-01) -
MPCE: A Maximum Probability Based Cross Entropy Loss Function for Neural Network Classification
by: Yangfan Zhou, et al.
Published: (2019-01-01) -
Randomised block-coordinate Frank-Wolfe algorithm for distributed online learning over networks
by: Jingchao Li, et al.
Published: (2020-04-01) -
Method for detecting abnormal behaviour of users based on selective clustering ensemble
by: Juan Du, et al.
Published: (2018-03-01) -
Towards energy efficient task execution in mobile cloud computing
by: Zhang, Weiwen
Published: (2015)