Mohammad Reza Karami Mollaei

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 4

Top Topics

Convolutional Neural Network

Smoothing Algorithm

Dempster Shafer Theory

Top Venues

Circuits Syst. Signal Process.

Publications

Ali Derogar Moghadam, Mohammad Reza Karami Mollaei, Mohammadreza Hassanzadeh
A Signal-Based One-Dimensional Convolutional Neural Network (SB 1D CNN) Model for Seizure Prediction. Circuits Syst. Signal Process. 43 (8) (2024)
Mohammad Akhondi Darzikolaei, Mohammad Reza Karami Mollaei, Maryam Najimi
An effective PSO-based power allocation for target tracking in MIMO radar with widely separated antennas. Phys. Commun. 51 (2022)
Sara Razi, Mohammad Reza Karami Mollaei, Jamal Ghasemi
A novel method for classification of BCI multi-class motor imagery task based on Dempster-Shafer theory. Inf. Sci. 484 (2019)
Sonay Kammi, Mohammad Reza Karami Mollaei
Noisy speech enhancement with sparsity regularization. Speech Commun. 87 (2017)
Jamal Ghasemi, Reza Ghaderi, Mohammad Reza Karami Mollaei, S. A. Hojjatoleslami
A novel fuzzy Dempster-Shafer inference system for brain MRI segmentation. Inf. Sci. 223 (2013)
Jamal Ghasemi, Mohammad Reza Karami Mollaei, Reza Ghaderi, Ali Hojjatoleslami
Brain tissue segmentation based on spatial information fusion by Dempster-Shafer theory. J. Zhejiang Univ. Sci. C 13 (7) (2012)
Jamal Ghasemi, Reza Ghaderi, Mohammad Reza Karami Mollaei, Ali Hojjatoleslami
Separation of brain tissues in MRI based on multi-dimensional FCM and spatial information. FSKD (2011)
Mohadese Eshaghi, Mohammad Reza Karami Mollaei
Voice activity detection based on using wavelet packet. Digit. Signal Process. 20 (4) (2010)
Khalil Gorgani Firouzjah, Ali Sheikholeslami, Mohammad Reza Karami Mollaei, F. Heydari
A predictive current control method for shunt active filter with windowing based wavelet transform in harmonic detection. Simul. Model. Pract. Theory 17 (5) (2009)
Ali Karami-Mollaee, Mohammad Reza Karami Mollaei
A new approach for instantaneous pole placement with recurrent neural networks and its application in control of nonlinear time-varying systems. Syst. Control. Lett. 55 (5) (2006)