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Al-Zaidi Mustafa Majid Hayder

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Publications in DEA:

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Date range:

2020-2023

2023

Al-Zaidi, M. M. H., Vágner, A.: Application-Based Benchmarking on Redis and MongoDB for Trip Planning using GTFS Data.
TEM Journal. 12 (4), 2583-2592, 2023.

doi DEA Scopus

Journal metrics:

Q3 Computer Science (miscellaneous)

Q3 Education

Q4 Information Systems

Q3 Information Systems and Management

Q3 Management of Technology and Innovation

Q3 Strategy and Management

Vágner, A., Al-Zaidi, M. M. H.: Sharding and master-slave replication of NoSQL databases - comparison of MongoDB and Redis.
In: Proceedings of the International Conference on Data Science, Technology and Applications DATA (DATA 2023). Eds.: Oleg Gusikhin, Slimane Hammoudi, Alfredo Cuzzocrea, [Institute of Electrical and Electronics Engineers Inc.], [Piscataway], 576-582, 2023, (ISSN 2184-285X) ISBN: 9789897586644

doi DEA

Al-Zaidi, M. M. H., Vágner, A.: Trip Timing Algorithm for GTFS data With Redis Model to Improve the Performance.
Journal of Information Systems and Telecommunication. 11 (3), 260-268, 2023.

DEA Scopus

Journal metrics:

Q4 Computer Networks and Communications

Q4 Computer Science Applications

Q4 Computer Vision and Pattern Recognition

Q4 Artificial Intelligence

Q4 Information Systems

2022

Al-Zaidi, M. M. H., Vágner, A.: Benchmarking Redis and HBase NoSQL Databases Using Yahoo Cloud Service Benchmarking Tool.
Ann. Math. Inform. 56, 1-9, 2022.

doi DEA WoS Scopus

Journal metrics:

Q4 Computer Science (miscellaneous)

Q4 Mathematics (miscellaneous)

2021

Al-Zaidi, M. M. H., Vágner, A.: Trip planning algorithm for gtfs data with nosql structure to improve the performance.
J. Theor. Appl. Inf. Technol. 99 (10), 2290-2300, 2021.

DEA Scopus

Journal metrics:

Q4 Computer Science (miscellaneous)

Q4 Theoretical Computer Science

2020

Al-Zaidi, M. M. H., Vágner, A.: Effective Smart Sensors Based Cognitive Infocommunications Weight Loss System.
In: 11th IEEE International Conference on Cognitive Infocommunications : CogInfoCom 2020 : Proceedings. Ed.: Baranyi Péter, IEEE, Piscataway, 73-78, 2020. ISBN: 9781728182131

doi DEA WoS Scopus