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ORCIDNavid Khaledian
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2020 – today
- 2026
[j16]Atefeh Hemmati
, Navid Khaledian, Amir Masoud Rahmani:
Toward a unified computing paradigm: a survey and roadmap for data management in integrated IoT, fog, and cloud services. Peer Peer Netw. Appl. 19(2): 54 (2026)- [j15]Masoud Barkhan, Navid Khaledian, Farough Ashkouti:
Distributed improved FP-Growth with level-wise and memory-aware pruning for scalable frequent itemset mining on Apache Spark™. J. Supercomput. 82(1): 36 (2026) - 2025
- [j14]Mehdi Ghorbani, Navid Khaledian, Setareh Moazzami:
ALBLA: an adaptive load balancing approach in edge-cloud networks utilizing learning automata. Computing 107(1): 34 (2025) - [j13]Navid Khaledian, Shiva Razzaghzadeh, Setareh Moazzami, Parisa Norouzi Kivi:
TM-MOAOA: a two-stage task scheduling approach using TOPSIS and multi-objective Archimedes optimization in fog-cloud environment. Computing 107(7): 155 (2025) - [j12]Jaber Pournazari, Amjad Ullah, Ahmed Al-Dubai, Xiaodong Liu, Navid Khaledian:
Multi-objective optimisation for energy-centric offloading in fog computing. Computing 107(11): 220 (2025) - [j11]Navid Khaledian, Amin Nazari, Masoud Barkhan:
CFCAI: improving collaborative filtering for solving cold start issues with clustering technique in the recommender systems. Multim. Tools Appl. 84(28): 34207-34228 (2025) - [j10]Navid Khaledian, Shiva Razzaghzadeh, Zeynab Haghbayan, Marcus Völp:
Hybrid Markov chain-based dynamic scheduling to improve load balancing performance in fog-cloud environment. Sustain. Comput. Informatics Syst. 45: 101077 (2025) - [i1]Sonya Falahati, Morteza Alizadeh, Zhino Safahi, Navid Khaledian, Mohsen Alambardar Meybodi, Mohammad R. Salmanpour:
An AI-powered Public Health Automated Kiosk System for Personalized Care: An Experimental Pilot Study. CoRR abs/2504.13880 (2025) - 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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