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Maryam Monemian
Maryam Monemian
Geverifieerd e-mailadres voor res.mui.ac.ir
Titel
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Analysis of a new energy-based sensor selection method for cooperative spectrum sensing in cognitive radio networks
M Monemian, M Mahdavi
IEEE sensors journal 14 (9), 3021-3032, 2014
582014
Optimum sensor selection based on energy constraints in cooperative spectrum sensing for cognitive radio sensor networks
M Monemian, M Mahdavi, MJ Omidi
IEEE Sensors Journal 16 (6), 1829-1841, 2015
442015
Analysis of A Novel Segmentation Algorithm for Optical Coherence Tomography Images Based on Pixels Intensity Correlations
M Monemian, H Rabbani
IEEE Transactions on Instrumentation and Measurement, 2020
222020
A computationally efficient red-lesion extraction method for retinal fundus images
M Monemian, H Rabbani
IEEE Transactions on Instrumentation and Measurement 72, 1-13, 2022
162022
Analytical model of failure in LTE networks
M Monemian, P Khadivi, M Palhang
2009 IEEE 9th Malaysia International Conference on Communications (MICC …, 2009
162009
Mathematical analysis of texture indicators for the segmentation of optical coherence tomography images
M Monemian, H Rabbani
Optik 219, 165227, 2020
142020
Red-lesion extraction in retinal fundus images by directional intensity changes’ analysis
M Monemian, H Rabbani
Scientific Reports 11 (1), 18223, 2021
132021
Exudate Identification in Retinal Fundus Images Using Precise Textural Verifications
M Monemian, H Rabbani
Scientific Reports, 2023
102023
A new texture based segmentation method for optical coherence tomography images
M Monemian, H Rabbani
EMBC 2019, 2019
102019
Cyst identification in retinal optical coherence tomography images using hidden Markov model
N Mousavi, M Monemian, P Ghaderi Daneshmand, ...
Scientific Reports 13 (1), 12, 2023
92023
Sensing user selection based on energy constraints in cognitive radio networks
M Monemian, M Mahdavi
2014 IEEE Wireless Communications and Networking Conference (WCNC), 3379-3384, 2014
72014
Detecting red-lesions from retinal fundus images using unique morphological features
M Monemian, H Rabbani
Scientific Reports 13 (1), 3487, 2023
62023
A review on texture-based methods for anomaly detection in retinal optical coherence tomography images
M Monemian, M Irajpour, H Rabbani
Optik 288, 171165, 2023
52023
Improving the lifetime of multichannel cognitive radio sensor networks via new spectrum sensing method
M Monemian, M Mahdavi, MJ Omidi
Transactions on Emerging Telecommunications Technologies 30 (5), e3551, 2019
52019
Bandwidth degradation for dropping rate reduction in cellular networks
M Monemian, P Khadivi, M Palhang
2009 IEEE 9th Malaysia International Conference on Communications (MICC …, 2009
52009
Directional analysis of intensity changes for determining the existence of cyst in optical coherence tomography images
M Monemian, H Rabbani
Scientific Reports, 2022
32022
A New Approach for the Betterment of Wireless Network Performance Using Bandwidth Degradation and Ad-hoc Relaying
M Monemian, P Khadivi
Majlesi Journal of Electrical Engineering 7 (225), 48-57, 2013
22013
A new method for the localization of hard exudates based on analyzing intensity incremental-decremental trends
M Monemian, H Rabbani
IEEE Transactions on Instrumentation and Measurement, 2024
12024
A novel energy efficient sensor selection algorithm for a multi-channel cognitive radio network
M Monemian, M Mahdavi, MJ Omidi
2015 23rd Iranian Conference on Electrical Engineering, 363-367, 2015
12015
Cost calculation in bandwidth degradation schemes in cellular networks
M Monemian, P Khadivi, M Palhang
2010 18th Iranian Conference on Electrical Engineering, 162-166, 2010
12010
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Artikelen 1–20