Elham Abbasi

According to our database, Elham Abbasi authored at least 12 papers between 2013 and 2025.

Collaborative distances:

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

2025

Advancing cloud virtualization: a comprehensive survey on integrating IoT, Edge, and Fog computing with FaaS for heterogeneous smart environments.

Mohammad Mahdi Ghaseminya, Elahe Eslami, Seyed Abolfazl Shahzadeh Fazeli, Jamshid Abouei, Elham Abbasi, Seyed-Mehdi Karbassi

J. Supercomput., September, 2025

Using hybrid mountain gazelle optimization and particle swarm optimization algorithms to improve clustering.

E. Mosavi, Seyed Abolfazl Shahzadeh Fazeli, Elham Abbasi, Fatemeh Kaveh-Yazdy

Clust. Comput., September, 2025

Fogfaas: providing serverless computing simulation for iFogSim and edge cloud.

Mohammad Mahdi Ghaseminya, Seyed Abolfazl Shahzadeh Fazeli, Jamshid Abouei, Elham Abbasi

J. Supercomput., May, 2025

2024

Unrolled, Pipelined, and Stage-Folded Architectures for Encoding of Multi-Kernel Polar Codes.

Hossein Rezaei, Elham Abbasi, Nandana Rajatheva, Matti Latva-aho

IEEE Trans. Very Large Scale Integr. Syst., November, 2024

2023

Semi-explicit mixture of experts based on information table.

Elham Abbasi, Mohammad Reza Hooshmandasl

J. Ambient Intell. Humaniz. Comput., July, 2023

Unrolled Architectures for High-Throughput Encoding of Multi-Kernel Polar Codes.

Hossein Rezaei, Elham Abbasi, Nandana Rajatheva, Matti Latva-aho

CoRR, 2023

2022

Texture images classification using improved local quinary pattern and mixture of ELM-based experts.

Laleh Armi, Elham Abbasi, Jamal Zarepour-Ahmadabadi

Neural Comput. Appl., 2022

2021

Mixture of ELM based experts with trainable gating network.

Laleh Armi, Elham Abbasi, Jamal Zarepour-Ahmadabadi

CoRR, 2021

2020

Solving an Optimal Control Problem of Cancer Treatment by Artificial Neural Networks.

F. Heydarpour, Elham Abbasi, Mohammad Javad Ebadi, Seyed-Mehdi Karbassi

Int. J. Interact. Multim. Artif. Intell., 2020

2016

A regularized root-quartic mixture of experts for complex classification problems.

Elham Abbasi, Mohammad Ebrahim Shiri, Mehdi Ghatee

Knowl. Based Syst., 2016

Root-quatric mixture of experts for complex classification problems.

Elham Abbasi, Mohammad Ebrahim Shiri, Mehdi Ghatee

Expert Syst. Appl., 2016

2013

FRAN and RBF-PSO as two components of a hyper framework to recognize protein folds.

Elham Abbasi, Mehdi Ghatee, Mohammad Ebrahim Shiri

Comput. Biol. Medicine, 2013