Currently browsing: Items authored or edited by Muhammad Anwar

16 items in this list.
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Anwar, Muhammad Naveed (2014). Data Mining of Audiology Data. LAP Lambert Academic Publishing.

Anwar, Muhammad Naveed and Daniel, Elizabeth M. (2014). Online home based businesses: systematic literature review and future research agenda. In: UKAIS International Conference on Information Systems (UKAIS 2014), 7-9 Apr 2014, Oxford University.

Anwar, Muhammad Naveed and Oakes, Michael Philip (2013). Decision support system for the selection of an ITE or a BTE hearing aid. International Journal of Computer Applications, 76(14) pp. 37–42.

Anwar, Muhammad Naveed and Oakes, Michael Philip (2012). Data mining of audiology patient records: factors influencing the choice of hearing aid type. BMC Medical Informatics & Decision Making, 12(Suppl 1), article no. S6.

Anwar, Muhammad Naveed; Oakes, Michael Philip and McGarry, Ken (2011). Chi-squared, Yule’s Q and likelihood ratios in tabular audiology data. In: Ao, Sio-Iong and Gelman, Len eds. Electrical Engineering and Applied Computing. Lecture Notes in Electrical Engineering (90). Springer, pp. 365–376.

Anwar, Muhammad N.; Oakes, Michael P. and McGarry, Ken (2010). Chi-squared and associations in tabular audiology data. In: Proceedings of the World Congress on Engineering 2010 Vol I, Newswood Limited, pp. 346–351.

Anwar, Muhammad Naveed; Oakes, Michael Philip; Wermter, Stefan and Heinrich, Stefan (2010). Clustering audiology data. In: 19th Machine Learning Conference of Belgium and The Netherlands (BeneLearn 2010), 27-28 May 2010, Leuven, Belgium.

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Daniel, Elizabeth and Anwar, Muhammad (2014). Ethnic entrepreneurs and online home-based businesses. In: Institute for Small Business & Entrepreneurship (ISBE) Conference, 5-6 Nov 2014, Manchester.

Daniel, Elizabeth; Anwar, Muhammad and Di Domenico, MariaLaura (2014). Fixed, Tethered or Free: The Role of Space and Place in Online Home-Based Businesses. In: ESRC Seminar Series: Entrepreneurship in Homes and Neighbourhoods., 16 Sep 2014, Middlesex University London.

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Oakes, Michael P.; Anwar, M. Naveed and Panchev, Christo (2013). Data mining for gender differences in tinnitus. In: Proceedings of the World Congress on Engineering 2013 Vol III, Newswood Limited, pp. 1504–1509.

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Panchev, Christo; Anwar, Muhammad Naveed and Oakes, Michael Philip (2013). Hearing aid classification based on audiology data. In: Artificial Neural Networks and Machine Learning – ICANN 2013, Lecture Notes in Computer Science, Springer-Verlag Berlin Heidelberg, pp. 375–380.


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