Amir Sheikhahmadi

Orcid: 0000-0002-0696-2900

According to our database1, Amir Sheikhahmadi authored at least 25 papers between 2014 and 2024.

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Timeline

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Bibliography

2024
Two efficient three-term conjugate gradient methods for impulse noise removal from medical images.
Multim. Tools Appl., May, 2024

2023
A new family of Polak-Ribière-Polyak conjugate gradient method for impulse noise removal.
Soft Comput., December, 2023

A new approach to finding overlapping community structure in signed networks based on Neutrosophic theory.
J. Complex Networks, December, 2023

TRTCD: trust route prediction based on trusted community detection.
Multim. Tools Appl., November, 2023

A method based on k-shell decomposition to identify influential nodes in complex networks.
J. Supercomput., September, 2023

Adaptive-Persistent Nonorthogonal Random Access Scheme for URLL Massive IoT Networks.
IEEE Syst. J., March, 2023

A method based on link prediction for identifying set of super-spreaders in complex networks.
J. Complex Networks, February, 2023

2022
DHkmeans-ℓdiversity: distributed hierarchical K-means for satisfaction of the ℓ-diversity privacy model using Apache Spark.
J. Supercomput., 2022

Proposing improved meta-heuristic algorithms for clustering and separating users in the recommender systems.
Electron. Commer. Res., 2022

Classifying tumor brain images using parallel deep learning algorithms.
Comput. Biol. Medicine, 2022

2021
DI-Mondrian: Distributed improved Mondrian for satisfaction of the L-diversity privacy model using Apache Spark.
Inf. Sci., 2021

A hybrid method of link prediction in directed graphs.
Expert Syst. Appl., 2021

LPWAN-based hybrid backhaul communication for intelligent transportation systems: architecture and performance evaluation.
EURASIP J. Wirel. Commun. Netw., 2021

A Composite Centrality Measure for Improved Identification of Influential Users.
CoRR, 2021

2020
Finding influential nodes in social networks based on neighborhood correlation coefficient.
Knowl. Based Syst., 2020

Identification of influential users in social network using gray wolf optimization algorithm.
Expert Syst. Appl., 2020

Identifying influential spreaders using multi-objective artificial bee colony optimization.
Appl. Soft Comput., 2020

2019
Identification of influential users in social networks based on users' interest.
Inf. Sci., 2019

Influential node ranking in social networks based on neighborhood diversity.
Future Gener. Comput. Syst., 2019

2018
New centrality measure for nodes based on user social status and behavior on Facebook.
Int. J. Web Inf. Syst., 2018

Influence maximization in social networks based on TOPSIS.
Expert Syst. Appl., 2018

A hierarchical approach for influential node ranking in complex social networks.
Expert Syst. Appl., 2018

2017
Identification of multi-spreader users in social networks for viral marketing.
J. Inf. Sci., 2017

2015
Improving detection of influential nodes in complex networks.
CoRR, 2015

2014
Content marketing through data mining on Facebook social network.
Webology, 2014


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