Mahmood K. Pathan

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Finite state technology is being used since long to model NLP (Natural Language Processing) applications specially it has very successfully applied to machine translation and speech recognition systems. Character recognition in cursive scripts or handwritten Latin script also have attracted researchers’ attention and some research is also done in this area.(More)
Universities gather large volumes of data with reference to their students in electronic form. The advances in the data mining field make it possible to mine these educational data and find information that allow for innovative ways of supporting both teachers and students. This paper presents a case study on predicting performance of students at the end of(More)
Nastaliq is a calligraphic, beautiful and more aesthetic style of writing Urdu, the national language of Pakistan, also used to read and write in India and other countries of the region. OCRs developed for many world languages are already under efficient use but none exist for Nastaliq -- a calligraphic adaptation of the Arabic scrip which is inherently(More)
This paper, investigates how academic performance of students evolves over the years in their studies during a study programme. To determine typical progression patterns over the years, students are described by a 4 tuple (e.g. x1, x2, x3, x4), these being the clusters' mean to which a student belongs to in each year of the degree. For this purpose, two(More)
Quantum key distribution (QKD) has been developed within the last decade that is provably secure against arbitrary computing power, and even against quantum computer attacks. Now there is a strong need of research to exploit this technology in the existing communication networks. In this paper we have presented various experimental results pertaining to QKD(More)
This paper investigates how performance of students progresses during their studies. Progression of a student is defined as a tuple that shows how a year average stays the same, increases or decreases compared to first year. Taking the data of two consecutive cohorts and using k-means clustering, five meaningful types of progressions are put in evidence and(More)
Designing a machine that is capable for understanding human speech and responds properly to speech utterance or spoken language has intrigued speech research community for centuries. Among others, one of the fundamental problems to building speech recognition system is acoustic noise. The performance of speech recognition system significantly degrades in(More)
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