Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Shawki A. Al-Dubaee"'
Autor:
Shawki A. Al-Dubaee
Publikováno v:
2014 Science and Information Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92c386188d8d9b4d2bc73425d1b9b616
https://doi.org/10.1109/sai.2014.6918280
https://doi.org/10.1109/sai.2014.6918280
Publikováno v:
CASoN
In traditional language identification methods, it is not so easy for search engines to find relevant language database of a given query. Therefore, there is a need to identify the relevant user’s natural language query of unknown document database
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93e3248d2f95d0214ec2fe3077448bab
https://doi.org/10.1109/cason.2010.121
https://doi.org/10.1109/cason.2010.121
Autor:
Shawki A. Al-Dubaee, Nesar Ahmad
Publikováno v:
2010 First International Conference on Integrated Intelligent Computing.
This paper proposes a new strategy that is based on the signal processing tools applied to text compression of files namely, the wavelet transform and the fourier transform. The influence of compression size and threshold of wavelet filters and the f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::144020ed511600dde0aafe4535d4e005
https://doi.org/10.1109/iciic.2010.51
https://doi.org/10.1109/iciic.2010.51
Autor:
Shawki A. Al-Dubaee, Nesar Ahmad
Publikováno v:
2010 First International Conference on Integrated Intelligent Computing.
Most of the algorithms of data compression were developed for English language. However, the aptitude of wavelet transform to be multilingual lossy text compression is promised. This paper proposes a new strategy that is based on the wavelet transfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39a5446bb838f531c50ac07039c701e6
https://doi.org/10.1109/iciic.2010.65
https://doi.org/10.1109/iciic.2010.65
Autor:
Nesar Ahmad, Shawki A. Al-Dubaee
Publikováno v:
2010 First International Conference on Integrated Intelligent Computing.
During the last few years, the search result clustering has attracted a substantial amount of research. In this paper, we present a comparative study of the performance of fuzzy clustering algorithms, namely Fuzzy C-Means (FCM), and Gustafson-Kessel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e929adab5fde342219b53511d0891f44
https://doi.org/10.1109/iciic.2010.50
https://doi.org/10.1109/iciic.2010.50
Publikováno v:
Advances in Soft Computing ISBN: 9783642106866
In this paper, we apply our novel approaches based on wavelet and multiwavelet transforms in Web information retrieval of Czech language [1, 2, 3]. The influence of wavelet and multiwavelet transforms on feature extraction and information retrieval a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21e7be45dda0262e582dd22e9980a0d8
https://doi.org/10.1007/978-3-642-10687-3_4
https://doi.org/10.1007/978-3-642-10687-3_4
Publikováno v:
2009 International Conference on Future Computer and Communication.
In traditional search engines, it is not so easy for users to find relevant Web pages list (snippet) of a given query. Therefore, there is a need to retrieve and find the relevant information in a better way by clustering the search results. This pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cc8009fb1a97c7e9558e6db0d8a8ff3
https://doi.org/10.1109/icfcc.2009.142
https://doi.org/10.1109/icfcc.2009.142
Autor:
Shawki A. Al-Dubaee, Nesar Ahmad
Publikováno v:
FSKD (4)
This paper presents a novel approach based on one of the signal processing tools in soft computing applied to Web information retrieval, namely wavelet transform. The influence of two parameters, wavelet functions (Mother wavelets) and decomposition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6881901b56d320797aedd25b0d454978
https://doi.org/10.1109/fskd.2008.551
https://doi.org/10.1109/fskd.2008.551