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ORCIDAhmed Al-Shammari
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- affiliation: Swinburne University of Technology, Australia
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2020 – today
- 2024
[c4]Ahmed Faris Alsayyad, Mohamed Mabrouk
, Ahmed Al-Shammari, Mounir Zrigui:
IDRF: An Improved Dynamic Random Forest Approach for Blockchain Time Series Data Classification. ACIIDS (1) 2024: 85-96- [c3]Ahmed Faris Alsayyad, Alaa Abid Muslam Abid Ali, Mohamed Mabrouk, Ahmed Al-Shammari, Mounir Zrigui:
A Survey on Time Series Data Classification: Blockchain Technologies and Security Concerns. KES 2024: 961-970 - 2020
- [j4]Mehdi Naseriparsa, Ahmed Al-Shammari, Ming Sheng, Yong Zhang, Rui Zhou:
RSMOTE: improving classification performance over imbalanced medical datasets. Health Inf. Sci. Syst. 8(1): 22 (2020)
2010 – 2019
- 2019
- [j3]Ahmed Al-Shammari, Rui Zhou, Mehdi Naseriparsa, Chengfei Liu:
An effective density-based clustering and dynamic maintenance framework for evolving medical data streams. Int. J. Medical Informatics 126: 176-186 (2019) - [j2]Nassima Haroune-Belkacem, Fouzi Semchedine, Ahmed Al-Shammari, Djamil Aïssani:
SMCA: An efficient SOAP messages compression and aggregation technique for improving web services performance. J. Parallel Distributed Comput. 133: 149-158 (2019) - 2018
- [c2]Ahmed Al-Shammari, Rui Zhou, Chengfei Liu, Mehdi Naseriparsa, Bao Quoc Vo:
A Framework for Processing Cumulative Frequency Queries over Medical Data Streams. WISE (2) 2018: 121-131 - 2017
- [c1]Ahmed Al-Shammari, Chengfei Liu, Mehdi Naseriparsa, Bao Quoc Vo, Tarique Anwar, Rui Zhou:
A Framework for Clustering and Dynamic Maintenance of XML Documents. ADMA 2017: 399-412 - 2014
- [j1]Ahmed Mohammed Abbas, Azuraliza Abu Bakar, Mohd Zakree Ahmad Nazri:
Fast dynamic clustering SOAP messages based compression and aggregation model for enhanced performance of Web services. J. Netw. Comput. Appl. 41: 80-88 (2014)
Coauthor Index
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