Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Elham Azhir"'
Autor:
Mehdi Hosseinzadeh, Elham Azhir, Jan Lansky, Stanislava Mildeova, Omed Hassan Ahmed, Mazhar Hussain Malik, Faheem Khan
Publikováno v:
IEEE Access, Vol 11, Pp 50994-51017 (2023)
In the Internet of Things (IoT) ecosystem, some processing is done near data production sites at higher speeds without the need for high bandwidth by combining Fog Computing (FC) and cloud computing. Fog computing offers advantages for real-time syst
Externí odkaz:
https://doaj.org/article/973ac4a5eb484788bf9663307557848b
Publikováno v:
Mathematics, Vol 10, Iss 19, p 3517 (2022)
Access plan recommendation is a query optimization approach that executes new queries using prior created query execution plans (QEPs). The query optimizer divides the query space into clusters in the mentioned method. However, traditional clustering
Externí odkaz:
https://doaj.org/article/7bd84630ab154d43999108ca5f8f7dd2
Publikováno v:
PeerJ Computer Science, Vol 7, p e580 (2021)
Query optimization is the process of identifying the best Query Execution Plan (QEP). The query optimizer produces a close to optimal QEP for the given queries based on the minimum resource usage. The problem is that for a given query, there are plen
Externí odkaz:
https://doaj.org/article/609e9e47089a44368122d6c1dcd894f5
Autor:
Amir Masoud Rahmani, Elham Azhir, Saqib Ali, Mokhtar Mohammadi, Omed Hassan Ahmed, Marwan Yassin Ghafour, Sarkar Hasan Ahmed, Mehdi Hosseinzadeh
Publikováno v:
PeerJ Computer Science, Vol 7, p e488 (2021)
Recent advances in sensor networks and the Internet of Things (IoT) technologies have led to the gathering of an enormous scale of data. The exploration of such huge quantities of data needs more efficient methods with high analysis accuracy. Artific
Externí odkaz:
https://doaj.org/article/5c50220f13494d2fbc940bc9a9225958
Autor:
Amir Masoud, Rahmani, Elham, Azhir, Morteza, Naserbakht, Mokhtar, Mohammadi, Adil Hussein Mohammed, Aldalwie, Mohammed Kamal, Majeed, Sarkhel H, Taher Karim, Mehdi, Hosseinzadeh
Publikováno v:
Multimedia Tools and Applications. 81:28779-28798
Since early 2020, Coronavirus Disease 2019 (COVID-19) has spread widely around the world. COVID-19 infects the lungs, leading to breathing difficulties. Early detection of COVID-19 is important for the prevention and treatment of pandemic. Numerous s
Autor:
Omed Hassan Ahmed, Bay Vo, Marwan Yassin Ghafour, Elham Azhir, Sarkar Hasan Ahmed, Amir Masoud Rahmani, Mehdi Hosseinzadeh
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:99-111
With the evolution of new technologies, the production of digital data is constantly growing. It is thus necessary to develop data management strategies in order to handle the large-scale datasets. The data gathered through different sources, such as
Autor:
Arash Sharifi, Mehmet Unal, Elham Azhir, Mehdi Hosseinzadeh, Nima Jafari Navimipour, Aso Mohammad Darwesh
Publikováno v:
Cluster Computing. 25:2021-2036
In the distributed database systems, the relations needed by a query can be kept in several locations. This process significantly increases potential corresponding Query Execution Plans (QEP’s) for a user query. Henceforth, in addition to the expen
Publikováno v:
Information Sciences. 545:620-632
The query optimizer is responsible for identifying the most efficient Query Execution Plans (QEP’s). The distributed database relations may be kept in several places. These results in a dramatic increase in the number of alternative query’ plans.
Publikováno v:
Future Generation Computer Systems. 114:665-678
Data clustering divides the datasets into different groups. Incremental Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is a famous density-based clustering technique able to find the clusters of variable sizes and shapes. The qu
Autor:
Amir Masoud Rahmani, Elham Azhir, Morteza Naserbakht, Mokhtar Mohammadi, Adil Hussein Mohammed Aldalwie, Mohammed Kamal Majeed, Sarkhel H. Taher Karim, Mehdi Hosseinzadeh
Publikováno v:
Multimedia Tools and Applications. 81:28799-28800