Dr H Shaheen

A pervasive multi-distribution perceptron and hidden markov model for context aware systems

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  • Dr.h. Shaheen

Journal title : Journal of Research on the Lepidoptera

Publisher : Lepidoptera Research Foundation Inc

Online ISSN : 2156-5457

Page Number : 818-833

Journal volume : 51

Journal issue : 2

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Fueled by the recent advancements in pervasive environment, affluent context aware systems is among the rousing in computing today, including embedded environment, different wireless network technology, electronic communication and so on. Context-Aware Collaborative Filtering using Genetic Algorithm approach resulted in an improved mobile business model by determining optimal similarities between contexts. In this work, we plan to devise a hybrid framework called Multi-distribution Perceptron and Hidden Markov Model to smoothen the mobile networks with different degrees of context- confidence. Initially, Multi-distribution Layer Perceptron Model is designed aiming at improving the precision rate with the aid of Multi-distribution Bayesian Posterior measure. Experimental analysis shows that the M-PHMM framework is able to reduce the computational complexity for obtaining user patterns by 26.05% and improve the precision rate by 18.90% compared to the state-of-the- art works.

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DOI : https://doi.org/10.36872/LEPI/V51I2/301136

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