The following publications are possibly variants of this publication:
- Performance Evaluation of an IoT-Based E-Learning Testbed Using Mean-Shift Clustering Approach Considering Gamma Type of Brain WavesMasafumi Yamada, Miralda Cuka, Yi Liu 0011, Kevin Bylykbashi, Keita Matsuo, Leonard Barolli. bwcca 2018: 671-681 [doi]
- Performance Evaluation of an IoT-Based E-Learning Testbed Using Mean-Shift Clustering Approach Considering Delta Type of Brain WavesMasafumi Yamada, Miralda Cuka, Yi Liu, Tetsuya Oda, Keita Matsuo, Leonard Barolli. aina 2017: 265-270 [doi]
- Implementation of an IoT-Based E-Learning Testbed: Performance Evaluation Using Mean-Shift Clustering Approach Considering Four Types of BrainWavesKeita Matsuo, Masafumi Yamada, Kevin Bylykbashi, Miralda Cuka, Yi Liu 0011, Leonard Barolli. aina 2018: 203-209 [doi]
- Performance Evaluation of an IoT-Based E-Learning Testbed Using Mean Shift Clustering Approach Considering Electroencephalogram DataMasafumi Yamada, Tetsuya Oda, Yi Liu, Keita Matsuo, Leonard Barolli. bwcca 2017: 549-557 [doi]
- Evaluation of an IoT-based e-learning testbed: Performance of OLSR protocol in a NLoS environment and mean-shift clustering approach considering electroencephalogram dataMasafumi Yamada, Miralda Cuka, Yi Liu, Tetsuya Oda, Keita Matsuo, Leonard Barolli. ijwis, 13(1):2-13, 2017. [doi]