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Behavioural Intention to Use Mobile Entertainment Services among Bangladeshi Students.

, and . Int. J. E Serv. Mob. Appl., 8 (2): 38-53 (2016)

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Behavioural Intention to Use Mobile Entertainment Services among Bangladeshi Students., and . Int. J. E Serv. Mob. Appl., 8 (2): 38-53 (2016)Convolutional Neural Networks on Multichannel Time Series of Smartphone Applications for Gender or Age Range Classification., and . IIAI-AAI, page 522-525. IEEE, (2020)Exploring Important Motivation Drivers for Completion of Massive Open Online Courses by Bayesian Hierarchical Logistic Regression Model., and . IIAI-AAI, page 196-202. IEEE, (2019)A Comparative Cross-temporal Study on the Acceptance of Multiple Mobile Entertainment Services among Young Japanese Users., and . Int. J. E Serv. Mob. Appl., 11 (4): 56-66 (2019)Smoothness prior approach to explore mean structure in large-scale time series., , and . Theor. Comput. Sci., 292 (2): 431-446 (2003)Expansion of Mobile Information Service Needs toward Improving Quality of Life in Japan., and . IIAI-AAI, page 1120-1125. IEEE Computer Society, (2016)Convolutional Neural Networks on Time Series for Smartphone Application Activations Using Wavelet Transform., , and . IIAI-AAI, page 521-527. IEEE, (2019)Mobile Information Services Marketing to Serve the BOP Market., and . APSCC, page 480-487. IEEE Computer Society, (2007)A difference between Japan and the US in the Customer Satisfaction Model for Mobile Utilitarian Information Services., , and . ICMB, page 13. Association for Information Systems, (2012)Smoothness Prior Approach to Explore the Mean Structure in Large Time Series Data., , and . Discovery Science, volume 1721 of Lecture Notes in Computer Science, page 230-241. Springer, (1999)