Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Majid Sazvar"'
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 8, Iss 3, Pp 27-45 (2016)
The vision of the Linked Open Data (LOD) initiative is to provide a distributed model for publishing and meaningfully interlinking open data. The realization of this goal depends strongly on the quality of the data that is published as a part of the
Externí odkaz:
https://doaj.org/article/5c0eb198a48542778091e61733fb5506
Autor:
Mostafa Sabzekar, Toktam Dehghani, Majid Sazvar, Bahareh Behkamal, Mahmoud Naghibzadeh, Mahdie Eghdami
Publikováno v:
Proceedings of the 6th International Conference on Bioinformatics and Biomedical Science.
Protein β-sheet structure prediction is one of the most critical and challenging intermediate steps towards the full identification its tertiary structure due to the presence of non-local interactions. As a result, defining scoring functions for dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e57b9097e9deefbf52a92672d0479a4c
https://doi.org/10.1145/3121138.3121178
https://doi.org/10.1145/3121138.3121178
Publikováno v:
2014 4th International Conference on Computer and Knowledge Engineering (ICCKE).
Linked Open Data provides a distributed model for the semantic web to create knowledge by publishing public available data and meaningfully interlinking dispersed data sources. It is undeniable that the realization of this goal depends strongly on th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9793f208a57a8a70143d6755040d489f
https://doi.org/10.1109/iccke.2014.6993457
https://doi.org/10.1109/iccke.2014.6993457
Publikováno v:
C3S2E
Finding the longest common subsequence (LCS) of multiple strings is a well-known problem that has many applications in various fields, such as computational biology and computational genomics. This problem has been studied by a number of researchers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae1b31c9966f13ec16e620d6bfc1065a
https://doi.org/10.1145/2347583.2347591
https://doi.org/10.1145/2347583.2347591