A Novel Resource Deployment Approach to Mobile Microlearning: From Energy-Saving Perspective
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[1] Radu-Emil Precup,et al. Grey Wolf Optimizer Algorithm-Based Tuning of Fuzzy Control Systems With Reduced Parametric Sensitivity , 2017, IEEE Transactions on Industrial Electronics.
[2] Neeraj Suri,et al. Run Time Application Repartitioning in Dynamic Mobile Cloud Environments , 2016, IEEE Transactions on Cloud Computing.
[3] Junzhou Luo,et al. Evaluations of heuristic algorithms for teamwork-enhanced task allocation in mobile cloud-based learning , 2013, Proceedings of the 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD).
[4] Jie Xu,et al. Customer-aware resource overallocation to improve energy efficiency in realtime Cloud Computing data centers , 2011, 2011 IEEE International Conference on Service-Oriented Computing and Applications (SOCA).
[5] Antoine Doucet,et al. Building engagement for MOOC students: introducing support for time management on online learning platforms , 2014, WWW.
[6] Bidyadhar Subudhi,et al. A New MPPT Design Using Grey Wolf Optimization Technique for Photovoltaic System Under Partial Shading Conditions , 2016, IEEE Transactions on Sustainable Energy.
[7] D. Kolb,et al. Learning Styles and Learning Spaces: Enhancing Experiential Learning in Higher Education , 2005 .
[8] Jingyu Sun,et al. Personalized Micro-Learning Support Based on Process Mining , 2015, 2015 7th International Conference on Information Technology in Medicine and Education (ITME).
[9] Martin Ebner,et al. MOOCs Completion Rates and Possible Methods to Improve Retention - A Literature Review , 2014 .
[10] Shiping Chen,et al. MLaaS: A Cloud System for Mobile Micro Learning in MOOC , 2015, 2015 IEEE International Conference on Mobile Services.
[11] Shui Yu,et al. A Virtual Machine Scheduling Method for Trade-Offs Between Energy and Performance in Cloud Environment , 2016, 2016 International Conference on Advanced Cloud and Big Data (CBD).
[12] Sang Hyun Kim,et al. An Introduction to Current Trends and Benefits of Mobile Wireless Technology Use in Higher Education , 2006 .
[13] Line Kolås,et al. Interactive modules in a MOOC , 2016, 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET).
[14] 金舟,et al. Online Virtual Machine Placement for Increasing Cloud Provider’s Revenue , 2016 .
[15] Edmund Y. Lam,et al. Toward a Complete E-learning System Framework for Semantic Analysis, Concept Clustering and Learning Path Optimization , 2012, 2012 IEEE 12th International Conference on Advanced Learning Technologies.
[16] Yongmin Zhang,et al. Joint optimization of downlink and D2D transmissions for SVC streaming in cooperative cellular networks , 2016, Neurocomputing.
[17] Klara du Plessis. Stop Words , 2020, DH.
[18] Karen Spärck Jones. A statistical interpretation of term specificity and its application in retrieval , 2021, J. Documentation.
[19] Hans Peter Luhn,et al. A Statistical Approach to Mechanized Encoding and Searching of Literary Information , 1957, IBM J. Res. Dev..
[20] Rajkumar Buyya,et al. Energy Efficient Resource Management in Virtualized Cloud Data Centers , 2010, 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing.
[21] Pasi Liljeberg,et al. Energy Aware Consolidation Algorithm Based on K-Nearest Neighbor Regression for Cloud Data Centers , 2013, 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing.
[22] Christof Fetzer,et al. Energy-aware scheduling for infrastructure clouds , 2012, 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings.
[23] M. F. Kamaruzaman,et al. Behavior response among secondary school students development towards mobile learning application , 2012, 2012 IEEE Colloquium on Humanities, Science and Engineering (CHUSER).
[24] Arun Venkataramani,et al. Energy consumption in mobile phones: a measurement study and implications for network applications , 2009, IMC '09.
[25] Junfei Zhang,et al. Design of a Microlecture Mobile Learning System Based on Smartphone and Web Platforms , 2015, IEEE Transactions on Education.
[26] Zhi-hui Zhan,et al. Energy aware virtual machine placement scheduling in cloud computing based on ant colony optimization approach , 2014, GECCO.
[27] E. Emanuel. Online education: MOOCs taken by educated few , 2013, Nature.
[28] Li Yang,et al. A Green Cloud Service Provisioning Method for Mobile Micro-Learning , 2018 .
[29] Jun Shen,et al. Facilitating Social Collaboration in Mobile Cloud-Based Learning: A Teamwork as a Service (TaaS) Approach , 2014, IEEE Transactions on Learning Technologies.
[30] Crina Grosan,et al. Experienced Gray Wolf Optimization Through Reinforcement Learning and Neural Networks , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[31] Andrew Lewis,et al. Grey Wolf Optimizer , 2014, Adv. Eng. Softw..
[32] Parisa Ghodous,et al. Enhanced First-Fit Decreasing Algorithm for Energy-Aware Job Scheduling in Cloud , 2014, 2014 International Conference on Computational Science and Computational Intelligence.
[33] Tommi Mikkonen,et al. Coordinating Proactive Social Devices in a Mobile Cloud: Lessons Learned and a Way Forward , 2016, 2016 IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft).
[34] Athanasios V. Vasilakos,et al. An Online Mechanism for Resource Allocation and Pricing in Clouds , 2016, IEEE Transactions on Computers.
[35] Gerard Salton,et al. Term-Weighting Approaches in Automatic Text Retrieval , 1988, Inf. Process. Manag..
[36] Mohamed Menaa,et al. LFC enhancement concerning large wind power integration using new optimised PID controller and RFBs , 2016 .
[37] J. Baggaley. MOOC rampant , 2013 .