Farhana Sarker

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The ability to predict students' mark could be useful in a great number of different ways associated with university-level learning. In this study, student's mark prediction models have been developed using institutional internal databases and external open data sources. The results of empirical study for undergraduate students' first year mark prediction(More)
This paper proposes a noise robust high resolution pitch detection algorithm based on AMDF and ACF. The falling trend of AMDF is eliminated by an alignment technique, and AMDF and ACF are combined to take the advantage of their complementary nature. These two functions are combined by multiplication and addition over several band pass filters to enhance(More)
Research in student retention is traditionally survey-based, where researchers use questionnaires to collect student data to analyse and to develop student predictive model. The major issues with survey-based study are the potentially low response rates, time consuming and costly. Nevertheless, a large number of datasets that could inform the questions that(More)
There are different kinds of technologies being used to improve the communication opportunity of children with verbal challenges. Portable communication devices provide the facility to the users for customizing applications according their needs. Besides, the usability and costing range of these portable communication devices make them less condemning for(More)
Research in student retention and progression to completion is traditionally survey-based, where researchers collect data through questionnaires and interviewing students. The major issues with survey-based study are the potentially low response rates and cost. Nevertheless, a large number of datasets that could inform the questions that students are(More)
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