Maryam Taghizadeh

According to our database, Maryam Taghizadeh authored at least 9 papers between 2020 and 2026.

Collaborative distances:

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

2026

Optimized-based load balancing in a hybrid cloud-fog architecture.

Saif Aljanabi, Abdolah Chalechale, Maryam Taghizadeh

J. Supercomput., April, 2026

A GWO-based approach for task scheduling in heterogeneous vehicular fog computing environments.

Maryam Taghizadeh, Mahmood Ahmadi

Veh. Commun., 2026

2024

Grey Wolf-Based Task Scheduling in Vehicular Fog Computing Systems.

Maryam Taghizadeh, Mahmood Ahmadi

CoRR, 2024

A deep learning-based and adaptive region proposal algorithm for semantic segmentation.

Maryam Taghizadeh, Abdolah Chalechale

Appl. Soft Comput., 2024

2023

A region proposal algorithm using texture similarity and perceptual grouping.

Maryam Taghizadeh, Abdolah Chalechale, Ali Jannesari

J. Ambient Intell. Humaniz. Comput., 2023

2022

Diagnosis of Autism Disorder Based on Deep Network Trained by Augmented EEG Signals.

Habib Adabi Ardakani, Maryam Taghizadeh, Farzaneh Shayegh

Int. J. Neural Syst., 2022

A comprehensive and systematic review on classical and deep learning based region proposal algorithms.

Maryam Taghizadeh, Abdolah Chalechale

Expert Syst. Appl., 2022

2021

A class-independent flexible algorithm to generate region proposals.

Maryam Taghizadeh, Abdolah Chalechale

Multim. Tools Appl., 2021

2020

Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments.

Pegah Salehi, Abdolah Chalechale, Maryam Taghizadeh

CoRR, 2020