Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Muhamad Taufik Abdullah"'
Autor:
Faiz Alotaibi, Muhamad Taufik Abdullah, Rusli Bin Hj Abdullah, Rahmita Wirza Binti O. K. Rahmat, Ibrahim Abaker Targio Hashem, Arun Kumar Sangaiah
Publikováno v:
IEEE Access, Vol 6, Pp 554-562 (2018)
The detection and recognition and then conversion of the characters in an image into a text are called optical character recognition (OCR). A distinctive-type of OCR is used to process Arabic characters, namely, Arabic OCR. OCR is increasingly used i
Externí odkaz:
https://doaj.org/article/e241a8171fe74bc3be7f1fb1f22395b7
Autor:
Ibrar Yaqoob, Muhamad Taufik Abdullah, Faiz Alotaibi, Ahmad Firdaus, Nor Badrul Anuar, Ejaz Ahmed, Ibrahim Abaker Targio Hashem, Haruna Chiroma, Abdullah Gani, Waleed Kamaleldin Mahmoud Ali, Mohsen Marjani
Publikováno v:
The Journal of Supercomputing. 76:4915-4945
Recent trends in big data have shown that the amount of data continues to increase at an exponential rate. This trend has inspired many researchers over the past few years to explore new research direction of studies related to multiple areas of big
Autor:
Muhamad Taufik Abdullah, Arun Kumar Sangaiah, Faiz Alotaibi, Rahmita Wirza O. K. Rahmat, Ibrahim Abaker Targio Hashem, Rusli Abdullah
Publikováno v:
IEEE Access, Vol 6, Pp 554-562 (2018)
The detection and recognition and then conversion of the characters in an image into a text are called optical character recognition (OCR). A distinctive-type of OCR is used to process Arabic characters, namely, Arabic OCR. OCR is increasingly used i
Autor:
Leila Mansourian, Mas Rina Mustaffa, Lili Nurliyana Abdullah, Azreen Azman, Muhamad Taufik Abdullah
Publikováno v:
Multimedia Tools and Applications. 77:16131-16154
In the past decade, the popular Bag of Visual Words approach has been applied to many computer vision tasks, including image classification, video search, robot localization, and texture recognition. Unfortunately, most approaches use intensity featu
Serialized messages are processed at the server and sent as objects over the network to the client to be consumed.
Comment: 5 pages
Comment: 5 pages
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ee9756cc9fc34e49f8bd3d8e5d89eaf
Autor:
Muhamad Taufik Abdullah, Rabiah Abdul Kadir, Eissa M. Alshari, Azreen Azman, Mostafa Alksher, Puteri Suhaiza Sulaiman
Publikováno v:
2017 Asia Modelling Symposium (AMS).
More consumers depend on online recommendation for products before making purchase decision. Comments or ratings given by other online users are used as recommendation and help consumers to make informed decision. Giving rating is a more convenient w
Publikováno v:
Research Journal of Applied Sciences, Engineering and Technology. 10:1266-1272
Autor:
Leila Mansourian, Azreen Azman, Mas Rina Mustaffa, Lili Nurliyana Abdullah, Muhamad Taufik Abdullah
Publikováno v:
Eighth International Conference on Graphic and Image Processing (ICGIP 2016).
Pyramid Histogram of Words (PHOW), combined Bag of Visual Words (BoVW) with the spatial pyramid matching (SPM) in order to add location information to extracted features. However, different PHOW extracted from various color spaces, and they did not e
Publikováno v:
Information Science and Applications 2017 ISBN: 9789811041532
ICISA
ICISA
Sentiment analysis finds opinions, sentiments or emotions in user-generated contents. Most efforts are focusing on the English language, for which a large amount of sources and tools for sentiment analysis are available. The objective of this paper i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d31905bf8eb536ca16cd0d363d42426
https://doi.org/10.1007/978-981-10-4154-9_54
https://doi.org/10.1007/978-981-10-4154-9_54
Proposed Discriminative Lexical Features for Real-time Detection of Malware Uniform Resource Locator
Publikováno v:
Indian Journal of Science and Technology. 9
Objective: To identify discriminative lexical features of malware URL through manual examination, and to study prevalence of these features thereby leading to proposition of discriminative lexical feature for real-time detection of malware URL. Metho