Amin Babazadeh Sangar

Orcid: 0000-0002-5190-8460

According to our database1, Amin Babazadeh Sangar authored at least 16 papers between 2013 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Comparison Framework to Survey Elder Falling Detection Based on Machine Learning and Sensors Used Approaches.
Int. J. Mach. Learn. Cybern., June, 2026

2024
Fusion of deep belief network and SVM regression for intelligence of urban traffic control system.
J. Supercomput., November, 2024

A Hybrid Model Based on Convolutional Neural Network and Long Short-Term Memory for Multi-label Text Classification.
Neural Process. Lett., April, 2024

QFS-RPL: mobility and energy aware multi path routing protocol for the internet of mobile things data transfer infrastructures.
Telecommun. Syst., February, 2024

2023
Deep learning-based risk reduction approach using novel banking parameters on a standardized dataset.
Neural Comput. Appl., October, 2023

Stacking ensemble approach in data mining methods for landslide prediction.
J. Supercomput., May, 2023

A novel Q-learning-based hybrid algorithm for the optimal offloading and scheduling in mobile edge computing environments.
J. Netw. Comput. Appl., May, 2023

Offline writer identification using a developed deep neural network based on a novel signature dataset.
J. Ambient Intell. Humaniz. Comput., 2023

2022
A Hybrid Multi-objective Algorithm for Imbalanced Controller Placement in Software-Defined Networks.
J. Netw. Syst. Manag., 2022

Deep neural networks-based offline writer identification using heterogeneous handwriting data: an evaluation via a novel standard dataset.
J. Ambient Intell. Humaniz. Comput., 2022

2021
A novel deep learning framework for lung nodule detection in 3d CT images.
Multim. Tools Appl., 2021

A new comparison framework to survey neural networks-based vehicle detection and classification approaches.
Int. J. Commun. Syst., 2021

Correction to: Using hybrid artificial intelligence approach based on a neuro‑fuzzy system and evolutionary algorithms for modeling landslide susceptibility in East Azerbaijan Province, Iran.
Earth Sci. Informatics, 2021

Using hybrid artificial intelligence approach based on a neuro-fuzzy system and evolutionary algorithms for modeling landslide susceptibility in East Azerbaijan Province, Iran.
Earth Sci. Informatics, 2021

A novel controller placement algorithm based on network portioning concept and a hybrid discrete optimization algorithm for multi-controller software-defined networks.
Clust. Comput., 2021

2013
Participation anticipating in elections using data mining methods.
CoRR, 2013


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