Mehdi Darbandi

Orcid: 0000-0003-0043-6974

According to our database1, Mehdi Darbandi authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
A deep analysis of nature-inspired and meta-heuristic algorithms for designing intrusion detection systems in cloud/edge and IoT: state-of-the-art techniques, challenges, and future directions.
Clust. Comput., October, 2024

A reliable method for data aggregation on the industrial internet of things using a hybrid optimization algorithm and density correlation degree.
Clust. Comput., September, 2024

A new service composition method in the cloud-based Internet of things environment using a grey wolf optimization algorithm and MapReduce framework.
Concurr. Comput. Pract. Exp., July, 2024

Classification of Load Balancing Optimization Algorithms in Cloud Computing: A Survey Based on Methodology.
Wirel. Pers. Commun., June, 2024

A new energy-efficient design for quantum-based multiplier for nano-scale devices in internet of things.
Comput. Electr. Eng., 2024

A new cloud-based method for composition of healthcare services using deep reinforcement learning and Kalman filtering.
Comput. Biol. Medicine, 2024

2023
The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things.
Comput. Methods Programs Biomed., November, 2023

An Energy-Aware Load Balancing Method for IoT-Based Smart Recycling Machines Using an Artificial Chemical Reaction Optimization Algorithm.
Algorithms, February, 2023

A deep and systematic review of the intrusion detection systems in the fog environment.
Trans. Emerg. Telecommun. Technol., January, 2023

2022
Assessing the impact of cloud-based services on the talent management of employees.
Kybernetes, 2022

Intrusion detection systems in the cloud computing: A comprehensive and deep literature review.
Concurr. Comput. Pract. Exp., 2022

2020
Tasks mapping in the network on a chip using an improved optimization algorithm.
Int. J. Pervasive Comput. Commun., 2020


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