Ataollah Ebrahimzadeh
Affiliations:- Ataollah Ebrahimzade Sherme
- Faculty of Electrical Engineering, Babol Noushirvani University of Technology, Babol, Iran
According to our database1,
Ataollah Ebrahimzadeh
authored at least 43 papers
between 2007 and 2023.
Collaborative distances:
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Bibliography
2023
Ant path integration: a novel optimization algorithm inspired by the path integration of desert ants.
Neural Comput. Appl., August, 2023
2021
Fusion Rules Effects on Lifetime Maximization of Multi-channel Cooperative Spectrum Sensing.
Wirel. Pers. Commun., 2021
Blind Digital Modulation Identification Using an Efficient Method-of-Moments Estimator.
Wirel. Pers. Commun., 2021
Energy-efficient sensor selection for multi-channel cooperative spectrum sensing based on game theory.
J. Ambient Intell. Humaniz. Comput., 2021
2020
Game-theory-based lifetime maximization of multi-channel cooperative spectrum sensing in wireless sensor networks.
Wirel. Networks, 2020
2019
Pattern Anal. Appl., 2019
2018
Correction to: Efficient cooperative multicarrier underwater acoustic communication over the Persian Gulf channel.
Wirel. Networks, 2018
Efficient cooperative multicarrier underwater acoustic communication over the Persian Gulf channel.
Wirel. Networks, 2018
Adaptive Relay Selection and Power Allocation for OFDM Cooperative Underwater Acoustic Systems.
IEEE Trans. Mob. Comput., 2018
A Time-Reversal Imaging System for Breast Screening: Theory and Initial Phantom Results.
IEEE Trans. Biomed. Eng., 2018
Sensor selection for extending lifetime of multi-channel cooperative sensing in cognitive sensor networks.
Phys. Commun., 2018
Comput. Biol. Medicine, 2018
2017
Energy efficient cooperative spectrum sensing in wireless multi-antenna sensor network.
Wirel. Networks, 2017
Determination of the best carrier frequency based on the system and environmental parameters in underwater acoustic systems.
Phys. Commun., 2017
2015
Throughput Improvement in Energy-Efficient Cooperative Spectrum Sensing Based on Sensor Selection.
Wirel. Pers. Commun., 2015
J. Signal Process. Syst., 2015
Sensor Selection and Optimal Energy Detection Threshold for Efficient Cooperative Spectrum Sensing.
IEEE Trans. Veh. Technol., 2015
2014
A novel technique for blind source separation using bees colony algorithm and efficient cost functions.
Swarm Evol. Comput., 2014
ECG beat classification using particle swarm optimization and support vector machine.
Frontiers Comput. Sci., 2014
Appl. Soft Comput., 2014
New Neural Network-based Approaches for GPS GDOP Classification based on Neuro-Fuzzy Inference System, Radial Basis Function, and Improved Bee Algorithm.
Appl. Soft Comput., 2014
2013
Control chart pattern recognition using neural networks and efficient features: a comparative study.
Pattern Anal. Appl., 2013
Intell. Autom. Soft Comput., 2013
Appl. Soft Comput., 2013
2012
Recognition of the Communication Signals Using Particle Swarm Optimization and Support Vector Machine Based on the Multi-Resolution Wavelet Analysis.
Wirel. Pers. Commun., 2012
A novel method for energy-efficient cooperative spectrum sensing in cognitive sensor networks.
Proceedings of the 6th International Symposium on Telecommunications, 2012
2011
Hybrid intelligent technique for automatic communication signals recognition using Bees Algorithm and MLP neural networks based on the efficient features.
Expert Syst. Appl., 2011
Blind digital modulation classification in software radio using the optimized classifier and feature subset selection.
Eng. Appl. Artif. Intell., 2011
Appl. Soft Comput., 2011
Appl. Soft Comput., 2011
2010
Expert Syst. Appl., 2010
Recognition of communication signal types using genetic algorithm and support vector machines based on the higher order statistics.
Digit. Signal Process., 2010
Classification of the electrocardiogram signals using supervised classifiers and efficient features.
Comput. Methods Programs Biomed., 2010
Classification of electrocardiogram signals with support vector machines and genetic algorithms using power spectral features.
Biomed. Signal Process. Control., 2010
Blind signal-type classification using a novel robust feature subset selection method and neural network classifier.
Ann. des Télécommunications, 2010
2009
Closed-Form Analytical Equations for Amplitude and Frequency of High-Frequency CMOS Ring Oscillators.
IEEE Trans. Circuits Syst. I Regul. Pap., 2009
2008
J. Circuits Syst. Comput., 2008
2007
A Method for Identification of Communication Signals.
Proceedings of the 2007 International Conference on Image Processing, 2007
A SVM-based Classifier Using OAA Method for Recognition of Digital Signals in Multipath Channels.
Proceedings of the 2007 International Conference on Image Processing, 2007
Digital Signal Types Identification Using a Hierarchical SVM-Based Classifier and Efficient Features.
Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007
Proceedings of IEEE International Conference on Communications, 2007