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Deep Convolutional Neural Networks on Multichannel Time Series for Human Activity Recognition.

, , , , and . IJCAI, page 3995-4001. AAAI Press, (2015)

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Towards Anytime Anywhere Data Mining e-Services., , and . AusDM, page 47-56. University of Technology Sydney, Australia, (2002)A hybrid model for improving response time in distributed data mining., , and . IEEE Trans. Syst. Man Cybern. Part B, 34 (6): 2466-2479 (2004)The mobile semantic web., and . WWW (Companion Volume), page 197-198. ACM, (2014)Efficient mobile reasoning for pervasive discovery., and . SAC, page 1247-1251. ACM, (2009)Runtime efficiency of adaptive mobile software agents in pervasive computing environments., , , and . ICPS, page 123-132. ACM, (2009)Web Services for Analysing and Summarising Online Opinions and Reviews., , , and . ServiceWave, volume 6481 of Lecture Notes in Computer Science, page 136-149. Springer, (2010)Role of Context-Awareness for Demand Response Mechanisms., and . ICT-GLOW, volume 6868 of Lecture Notes in Computer Science, page 136-149. Springer, (2011)CARDAP: A Scalable Energy-Efficient Context Aware Distributed Mobile Data Analytics Platform for the Fog., , , , , and . ADBIS, volume 8716 of Lecture Notes in Computer Science, page 192-206. Springer, (2014)A fuzzy approach for interpretation of ubiquitous data stream clustering and its application in road safety., , and . Intell. Data Anal., 11 (1): 89-108 (2007)Adaptive mobile activity recognition system with evolving data streams., , , and . Neurocomputing, (2015)