Saeed Akhavan

According to our database, Saeed Akhavan authored at least 22 papers between 2014 and 2024.

Collaborative distances:

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

2024

Deep learning aided multi-source passive 3D AOA wireless positioning using a moving receiver: A low complexity approach.

Alireza Fadakar, Amir Mansourian, Saeed Akhavan

Ad Hoc Networks, March, 2024

Deep learning based 2D-DOA estimation using L-shaped arrays.

Alireza Fadakar, Ashkan Jafari, Parisa Tavana, Reza Jahani, Saeed Akhavan

J. Frankl. Inst., 2024

SUM: Saliency Unification through Mamba for Visual Attention Modeling.

Alireza Hosseini, Amirhossein Kazerouni, Saeed Akhavan, Michael Brudno, Babak Taati

CoRR, 2024

Enhanced K-SVD Based Approach for Multi-Source 3D Localization with a Mobile Receiver.

Amir Mansourian, Alireza Fadakar, Saeed Akhavan

Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Localization Using Convolutional Neural Networks with Mobile Array.

Alireza Fadakar, Amir Mansourian, Saeed Akhavan

Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Multi-Source 2D-AOA Estimation via Deep Learning.

Alireza Fadakar, Ashkan Jafari, Saeed Akhavan

Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

2023

Using 2D and 1D block-pulse functions simultaneously for solving the Barbashin integro-differential equations.

Saeed Akhavan, A. Roohollahi

Int. J. Comput. Math., 2023

2022

Dictionary learning for sparse representation of signals with hidden Markov model dependency.

Saeed Akhavan, Farnoush Baghestani, Parham Kazemi, Ali Karami, Hamid Soltanian-Zadeh

Digit. Signal Process., 2022

2021

Blind separation of sparse sources from nonlinear mixtures.

Saeed Akhavan, Hamid Soltanian-Zadeh

Digit. Signal Process., 2021

Alternating Projection Approach for Nonlinear Blind Separation of Sparse Sources.

Saeed Akhavan, Hamid Soltanian-Zadeh

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Separation of static and dynamic sources in absence epileptic seizures using depth cortical measurements.

Saeed Akhavan, Ronald Phlypo, Mahmoud Kamarei, Hamid Soltanian-Zadeh, Christian Jutten

Signal Process., 2020

Numerical solution of the mixed Volterra-Fredholm integro-differential multi-term equations of fractional order.

A. Roohollahi, Bahman Ghazanfari, Saeed Akhavan

J. Comput. Appl. Math., 2020

2019

Geometry-based solution of joint diagonalisation in blind source separation.

Saeed Akhavan, Samaneh Esmaeili, Hamid Soltanian-Zadeh

IET Signal Process., 2019

Spatio-Temporal Modeling of Absence Epileptic Seizures Using Depth Recordings.

Saeed Akhavan, Mahmoud Kamarei, Hamid Soltanian-Zadeh

Proceedings of the IEEE EUROCON 2019, 2019

2018

Unmixing of Absence Epileptic Seizures in GAERS.

Saeed Akhavan, Ronald Phlypo, Hamid Soltanian-Zadeh, Mahmoud Kamarei, Christian Jutten

Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Learning Overcomplete Dictionaries from Markovian Data.

Saeed Akhavan, Samaneh Esmaeili, Massoud Babaie-Zadeh, Hamid Soltanian-Zadeh

Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Static and Dynamic Modeling of Absence Epileptic Seizures Using Depth Recordings.

Saeed Akhavan, Ronald Phlypo, Hamid Soltanian-Zadeh, Mahmoud Kamarei, Christian Jutten

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017

Characterizing absence epileptic seizures from depth cortical measurements.

Saeed Akhavan, Ronald Phlypo, Hamid Soltanian-Zadeh, F. Studer, A. Depaulis, Christian Jutten

Proceedings of the 25th European Signal Processing Conference, 2017

2015

Images steganalysis using GARCH model for feature selection.

Saeed Akhavan, Mohammad Ali Akhaee, Saeed Sarreshtedari

Signal Process. Image Commun., 2015

Improving Petrov-Galerkin elements via Chebyshev polynomials and solving Fredholm integral equation of the second kind by them.

Saeed Akhavan, Khosrow Maleknejad

Appl. Math. Comput., 2015

2014

Using the improved Petrov-Galerkin elements k-0 for solving nonlinear Hammerstein-Fredholm integral equations.

Khosrow Maleknejad, Saeed Akhavan

J. Comput. Appl. Math., 2014

Universal image steganalysis based on GARCH model.

Saeed Akhavan, Mohammad Ali Akhaee, Saeed Sarreshtedari

Proceedings of the 22nd European Signal Processing Conference, 2014