Maryam Ghanbari

Orcid: 0000-0003-2131-7122

According to our database1, Maryam Ghanbari authored at least 26 papers between 2009 and 2023.

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Bibliography

2023
Bidirectional prediction of facial and bony shapes for orthognathic surgical planning.
Medical Image Anal., 2023

Vertex partitioning of graphs into odd induced subgraphs.
Discuss. Math. Graph Theory, 2023

2022
Adaptive machine learning and signal processing detection schemes for DDoS attacks.
PhD thesis, 2022

Altered Connectedness of the Brain Chronnectome During the Progression to Alzheimer's Disease.
Neuroinformatics, 2022

Star chromatic number of some graphs.
Discret. Math. Algorithms Appl., 2022

Detection of Faults in Electro-Hydrostatic Actuators Using Feature Extraction Methods and an Artificial Neural Network.
Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

Adaptive Regularization in ANN for Condition Monitoring and Fault Detection in Heavy-duty Hydraulic Machines.
Proceedings of the 21st 2022 International Conference on Cognitive Informatics & Cognitive Computing, 2022

2021
Detecting DDoS Attacks Using an Adaptive-Wavelet Convolutional Neural Network.
Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021

Designing a Neural Network and a Genetic- Algorithm-Based Adaptive Wavelet for Internet Traffic Containing DDoS Attacks.
Proceedings of the 20th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2021

Detecting DDoS Attacks Using a New Polyscale Convolutional Neural Network for Policy Gradient Based DRL.
Proceedings of the 20th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2021

2020
Detecting DDoS Attacks Using Polyscale Analysis and Deep Learning.
Int. J. Cogn. Informatics Nat. Intell., 2020

A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Data Augmentation Methods and their Effects on Long-Range Dependence.
Proceedings of the 19th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2020

Designing a Cost Function to Assess a Neural Network to Detect Distributed Denial of Service Attacks.
Proceedings of the 19th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2020

2019
Some results on the f-chromatic index of graphs whose f-core has maximum degree 2.
Australas. J Comb., 2019

2018
Extracting Features from Both the Input and the Output of a Convolutional Neural Network to Detect Distributed Denial of Service Attacks.
Proceedings of the 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2018

2015
The Chromatic Index of a Claw-Free Graph Whose Core has Maximum Degree 2.
Graphs Comb., 2015

2014
The Chromatic Index of a Graph Whose Core is a Cycle of Order at Most 13.
Graphs Comb., 2014

On the Dynamic Coloring of Cartesian Product Graphs.
Ars Comb., 2014

On the Dynamic Coloring of Strongly Regular Graphs.
Ars Comb., 2014

2013
On the Lucky Choice Number of Graphs.
Graphs Comb., 2013

2012
Some criteria for a graph to be Class 1.
Discret. Math., 2012

On the difference between chromatic number and dynamic chromatic number of graphs.
Discret. Math., 2012

The Chromatic Index of a Graph Whose Core has Maximum Degree 2.
Electron. J. Comb., 2012

2009
List coloring of graphs having cycles of length divisible by a given number.
Discret. Math., 2009

On the list dynamic coloring of graphs.
Discret. Appl. Math., 2009


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