Navid Khaledian

According to our database, Navid Khaledian authored at least 17 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Toward a unified computing paradigm: a survey and roadmap for data management in integrated IoT, fog, and cloud services.

Atefeh Hemmati, Navid Khaledian, Amir Masoud Rahmani

Peer Peer Netw. Appl., March, 2026

Distributed improved FP-Growth with level-wise and memory-aware pruning for scalable frequent itemset mining on Apache Spark™.

Masoud Barkhan, Navid Khaledian, Farough Ashkouti

J. Supercomput., January, 2026

2025

Multi-objective optimisation for energy-centric offloading in fog computing.

Jaber Pournazari, Amjad Ullah, Ahmed Al-Dubai, Xiaodong Liu, Navid Khaledian

Computing, November, 2025

CFCAI: improving collaborative filtering for solving cold start issues with clustering technique in the recommender systems.

Navid Khaledian, Amin Nazari, Masoud Barkhan

Multim. Tools Appl., August, 2025

TM-MOAOA: a two-stage task scheduling approach using TOPSIS and multi-objective Archimedes optimization in fog-cloud environment.

Navid Khaledian, Shiva Razzaghzadeh, Setareh Moazzami, Parisa Norouzi Kivi

Computing, July, 2025

An AI-powered Public Health Automated Kiosk System for Personalized Care: An Experimental Pilot Study.

Sonya Falahati, Morteza Alizadeh, Zhino Safahi, Navid Khaledian, Mohsen Alambardar Meybodi, Mohammad R. Salmanpour

CoRR, April, 2025

ALBLA: an adaptive load balancing approach in edge-cloud networks utilizing learning automata.

Mehdi Ghorbani, Navid Khaledian, Setareh Moazzami

Computing, January, 2025

Hybrid Markov chain-based dynamic scheduling to improve load balancing performance in fog-cloud environment.

Navid Khaledian, Shiva Razzaghzadeh, Zeynab Haghbayan, Marcus Völp

Sustain. Comput. Informatics Syst., 2025

2024

AI-based & heuristic workflow scheduling in cloud and fog computing: a systematic review.

Navid Khaledian, Marcus Völp, Sadoon Azizi, Mirsaeid Hosseini Shirvani

Clust. Comput., November, 2024

Analyzing the impact of various parameters on job scheduling in the Google cluster dataset.

Danyal Shahmirzadi, Navid Khaledian, Amir Masoud Rahmani

Clust. Comput., September, 2024

Trust management in the internet of vehicles: a systematic literature review of blockchain integration.

Shirin Abbasi, Navid Khaledian, Amir Masoud Rahmani

Int. J. Inf. Sec., August, 2024

A Hybrid Discrete Grey Wolf Optimization Algorithm Imbalance-ness Aware for Solving Two-dimensional Bin-packing Problems.

Saeed Kosari, Mirsaeid Hosseini Shirvani, Navid Khaledian, Danial Javaheri

J. Grid Comput., June, 2024

A multi-objective crow search algorithm for optimizing makespan and costs in scientific cloud workflows (CSAMOMC).

Reza Akraminejad, Navid Khaledian, Amin Nazari, Marcus Völp

Computing, June, 2024

An energy-efficient and deadline-aware workflow scheduling algorithm in the fog and cloud environment.

Navid Khaledian, Keyhan Khamforoosh, Reza Akraminejad, Laith Abualigah, Danial Javaheri

Computing, January, 2024

2023

TrustDL: Use of trust-based dictionary learning to facilitate recommendation in social networks.

Navid Khaledian, Amin Nazari, Keyhan Khamforoosh, Laith Abualigah, Danial Javaheri

Expert Syst. Appl., October, 2023

IKH-EFT: An improved method of workflow scheduling using the krill herd algorithm in the fog-cloud environment.

Navid Khaledian, Keyhan Khamforoosh, Sadoon Azizi, Vafa Maihami

Sustain. Comput. Informatics Syst., January, 2023

2022

CFMT: a collaborative filtering approach based on the nonnegative matrix factorization technique and trust relationships.

Navid Khaledian, Farhad Mardukhi

J. Ambient Intell. Humaniz. Comput., 2022