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Navid Khaledian
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2020 – today
- 2024
- [j9]Danyal Shahmirzadi, Navid Khaledian, Amir Masoud Rahmani:
Analyzing the impact of various parameters on job scheduling in the Google cluster dataset. Clust. Comput. 27(6): 7673-7687 (2024) - [j8]Navid Khaledian, Marcus Völp, Sadoon Azizi, Mirsaeid Hosseini Shirvani:
AI-based & heuristic workflow scheduling in cloud and fog computing: a systematic review. Clust. Comput. 27(8): 10265-10298 (2024) - [j7]Navid Khaledian, Keyhan Khamforoosh, Reza Akraminejad, Laith Abualigah, Danial Javaheri:
An energy-efficient and deadline-aware workflow scheduling algorithm in the fog and cloud environment. Computing 106(1): 109-137 (2024) - [j6]Reza Akraminejad, Navid Khaledian, Amin Nazari, Marcus Völp:
A multi-objective crow search algorithm for optimizing makespan and costs in scientific cloud workflows (CSAMOMC). Computing 106(6): 1777-1793 (2024) - [j5]Saeed Kosari, Mirsaeid Hosseini Shirvani, Navid Khaledian, Danial Javaheri:
A Hybrid Discrete Grey Wolf Optimization Algorithm Imbalance-ness Aware for Solving Two-dimensional Bin-packing Problems. J. Grid Comput. 22(2): 49 (2024) - [j4]Shirin Abbasi, Navid Khaledian, Amir Masoud Rahmani:
Trust management in the internet of vehicles: a systematic literature review of blockchain integration. Int. J. Inf. Sec. 23(4): 3065-3088 (2024) - 2023
- [j3]Navid Khaledian, Amin Nazari, Keyhan Khamforoosh, Laith Abualigah, Danial Javaheri:
TrustDL: Use of trust-based dictionary learning to facilitate recommendation in social networks. Expert Syst. Appl. 228: 120487 (2023) - [j2]Navid Khaledian, Keyhan Khamforoosh, Sadoon Azizi, Vafa Maihami:
IKH-EFT: An improved method of workflow scheduling using the krill herd algorithm in the fog-cloud environment. Sustain. Comput. Informatics Syst. 37: 100834 (2023) - 2022
- [j1]Navid Khaledian, Farhad Mardukhi:
CFMT: a collaborative filtering approach based on the nonnegative matrix factorization technique and trust relationships. J. Ambient Intell. Humaniz. Comput. 13(5): 2667-2683 (2022)
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last updated on 2024-10-09 21:32 CEST by the dblp team
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