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Items where Author is "Jamil, Nursuriati"

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Number of items: 8.

Ramli, Izzad and Jamil, Nursuriati and Seman, Noraini (2021) An Iterated Two-Step Sinusoidal Pitch Contour Formulation for Expressive Speech Synthesis. Journal of Information and Communication Technology, 20 (04). pp. 489-510. ISSN 2180-3862

Jamil, Nursuriati and Ramli, Izzad and Ardi, Norizah (2019) Formant Characteristics of Malay Vowels of Perlis, Kelantan and Terengganu. Journal of Information and Communication Technology, 18 (4). pp. 529-544. ISSN 2180-3862

Za’ba, Nurmaisara and Jamil, Nursuriati (2017) Speech to singing synthesis: Incorporating patah lagu in the fundamental frequency control model for Malay asli song. In: 6th International Conference on Computing & Informatics (ICOCI2017), 25 - 27 April 2017, Kuala Lumpur.

Sulaiman, Mohd Suffian and Nordin, Sharifalillah and Jamil, Nursuriati (2017) An object properties filter for multi-modality ontology semantic image retrieval. Journal of Information and Communication Technology, 16 (1). pp. 1-19. ISSN 2180-3862

Hambali, Hamirul ’Aini and Syed Abdullah, Sharifah Lailee and Jamil, Nursuriati and Harun, Hazaruddin (2016) Intelligent segmentation of fruit images using an integrated thresholding and adaptive K-means method (TSNKM). Jurnal Teknologi, 78 (6-5). pp. 13-20. ISSN 0127-9696

Sulaiman, Mohd Suffian and Nordin, Sharifalillah and Jamil, Nursuriati (2015) Enhancing the performance of multi-modality ontology semantic image retrieval using object properties filter. In: 5th International Conference on Computing and Informatics (ICOCI) 2015, 11-13 August 2015, Istanbul, Turkey.

Hambali, Hamirul ’Aini and Jamil, Nursuriati and Syed Abdullah, Sharifah Lailee and Harun, Hazaruddin (2014) A rule-based segmentation method for fruit images under natural illumination. In: 2014 International Conference on Computer, Control, Informatics and Its Applications (IC3INA), 21-23 Oct. 2014, Bandung, Indonesia.

Syed Abdullah, Sharifah Lailee and Hambali, Hamirul ’Aini and Jamil, Nursuriati (2013) Adaptive k-means method for segmenting images under natural environment. In: 4th International Conference on Computing and Informatics (ICOCI 2013), 28 -30 August 2013, Kuching, Sarawak, Malaysia.

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