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pro vyhledávání: '"Aziz, Md Momin Al"'
Fully Homomorphic Encryption (FHE) is one of the most promising technologies for privacy protection as it allows an arbitrary number of function computations over encrypted data. However, the computational cost of these FHE systems limits their wides
Externí odkaz:
http://arxiv.org/abs/2005.01945
Autor:
Aziz, Md Momin Al1 (AUTHOR) azizmma@cs.umanitoba.ca, Tamal, Md Toufique Morshed1 (AUTHOR), Mohammed, Noman1 (AUTHOR)
Publikováno v:
Information (2078-2489). Jan2024, Vol. 15 Issue 1, p40. 27p.
Publikováno v:
In Journal of Biomedical Informatics August 2022 132
Autor:
Sadat, Md Nazmus, Aziz, Md Momin Al, Mohammed, Noman, Chen, Feng, Wang, Shuang, Jiang, Xiaoqian
Recent studies demonstrate that effective healthcare can benefit from using the human genomic information. For instance, analysis of tumor genomes has revealed 140 genes whose mutations contribute to cancer. As a result, many institutions are using s
Externí odkaz:
http://arxiv.org/abs/1703.02577
Protein tertiary structure defines its functions, classification and binding sites. Similar structural characteristics between two proteins often lead to the similar characteristics thereof. Determining structural similarity accurately in real time i
Externí odkaz:
http://arxiv.org/abs/1610.01052
Publikováno v:
In Journal of Information Security and Applications October 2020 54
Publikováno v:
Algorithms for Computational Biology
After a decade of digitization and technological advancements, we have an abundance of usable genomic data, which provide unique insights into our well-being. However, such datasets are large in volume, and retrieving meaningful information from them
Autor:
Aziz, Md Momin Al1 (AUTHOR) azizmma@cs.umanitoba.ca, Sadat, Md Nazmus1 (AUTHOR), Alhadidi, Dima2 (AUTHOR), Wang, Shuang3 (AUTHOR), Jiang, Xiaoqian3 (AUTHOR), Brown, Cheryl L4 (AUTHOR), Mohammed, Noman1 (AUTHOR)
Publikováno v:
Briefings in Bioinformatics. May2019, Vol. 20 Issue 3, p887-895. 9p.
Akademický článek
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Publikováno v:
JMIR Medical Informatics
Background: Machine learning is an effective data-driven tool that is being widely used to extract valuable patterns and insights from data. Specifically, predictive machine learning models are very important in health care for clinical data analysis