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 | 58 | 2014 |
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 | 44 | 2015 |
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 | 23 | 2020 |
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 | 16 | 2022 |
Analytical model of failure in LTE networks M Monemian, P Khadivi, M Palhang 2009 IEEE 9th Malaysia International Conference on Communications (MICC …, 2009 | 16 | 2009 |
Mathematical analysis of texture indicators for the segmentation of optical coherence tomography images M Monemian, H Rabbani Optik 219, 165227, 2020 | 14 | 2020 |
Red-lesion extraction in retinal fundus images by directional intensity changes’ analysis M Monemian, H Rabbani Scientific Reports 11 (1), 18223, 2021 | 13 | 2021 |
Exudate Identification in Retinal Fundus Images Using Precise Textural Verifications M Monemian, H Rabbani Scientific Reports, 2023 | 11 | 2023 |
A new texture based segmentation method for optical coherence tomography images M Monemian, H Rabbani EMBC 2019, 2019 | 10 | 2019 |
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 | 9 | 2023 |
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 | 7 | 2014 |
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 | 6 | 2023 |
Detecting red-lesions from retinal fundus images using unique morphological features M Monemian, H Rabbani Scientific Reports 13 (1), 3487, 2023 | 6 | 2023 |
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 | 5 | 2019 |
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 | 5 | 2009 |
Directional analysis of intensity changes for determining the existence of cyst in optical coherence tomography images M Monemian, H Rabbani Scientific Reports, 2022 | 3 | 2022 |
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 | 2 | 2013 |
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 | 1 | 2024 |
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 | 1 | 2015 |
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 | 1 | 2010 |