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ORCIDHamed Pezeshki
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2020 – today
- 2023
[j6]Qiaoyu Li
, Philip Sisk, Arumugam Kannan, Taesang Yoo, Tao Luo, Gaurav Shah, Badri Manjunath, Chanaka Samarathungage, Mahmoud Taherzadeh Boroujeni, Hamed Pezeshki, Himanshu Joshi:
Machine Learning Based Time Domain Millimeter-Wave Beam Prediction for 5G-Advanced and Beyond: Design, Analysis, and Over-The-Air Experiments. IEEE J. Sel. Areas Commun. 41(6): 1787-1809 (2023)- [c4]João Morais, Arash Bchboodi, Hamed Pezeshki, Ahmed Alkhateeb:
Position-Aided Beam Prediction in the Real World: How Useful GPS Locations Actually are? ICC 2023: 1824-1829 - 2022
- [j5]Hamed Pezeshki:
Breast tumor segmentation in digital mammograms using spiculated regions. Biomed. Signal Process. Control. 76: 103652 (2022) - [c3]Hamed Pezeshki, Fabio Valerio Massoli, Arash Behboodi, Taesang Yoo, Arumugam Kannan, Mahmoud Taherzadeh Boroujeni, Qiaoyu Li, Tao Luo, Joseph B. Soriaga:
Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods. GLOBECOM 2022: 776-781 - [c2]Qiaoyu Li, Arumugam Kannan, Himanshu Joshi, Taesang Yoo, Philip Sisk, Mahmoud Taherzadeh Boroujeni, Hamed Pezeshki, Tao Luo:
Long Short-Term Memory Based Millimeter Wave Beam Change Prediction via Real-World Data. GLOBECOM (Workshops) 2022: 1442-1447 - [i4]João Morais, Arash Behboodi, Hamed Pezeshki, Ahmed Alkhateeb:
Position Aided Beam Prediction in the Real World: How Useful GPS Locations Actually Are? CoRR abs/2205.09054 (2022) - [i3]Gouranga Charan, Umut Demirhan, João Morais, Arash Behboodi, Hamed Pezeshki, Ahmed Alkhateeb:
Multi-Modal Beam Prediction Challenge 2022: Towards Generalization. CoRR abs/2209.07519 (2022) - 2021
- [j4]Hamed Pezeshki, Maryam Rastgarpour, Arash Sharifi, Samaneh Yazdani:
Mass classification of mammograms using fractal dimensions and statistical features. Multidimens. Syst. Signal Process. 32(2): 573-605 (2021) - 2020
- [j3]Hamed Pezeshki, Masoumeh Sadeghi, Martin Haenggi, J. Nicholas Laneman:
Anywhere Decoding: Low-Overhead Uplink Interference Management for Wireless Networks. IEEE Trans. Wirel. Commun. 19(6): 4095-4108 (2020)
2010 – 2019
- 2019
- [j2]Hamed Pezeshki, Maryam Rastgarpour, Arash Sharifi, Samaneh Yazdani:
Extraction of spiculated parts of mammogram tumors to improve accuracy of classification. Multim. Tools Appl. 78(14): 19979-20003 (2019) - [i2]Hamed Pezeshki, Masoumeh Sadeghi, Martin Haenggi, J. Nicholas Laneman:
Anywhere Decoding: Low-Overhead Uplink Interference Management for Wireless Networks. CoRR abs/1903.11782 (2019) - 2015
- [c1]Hamed Pezeshki, J. Nicholas Laneman:
Anywhere decoding: Low-overhead basestation cooperation for interference- and fading-limited wireless environments. Allerton 2015: 1286-1293 - 2013
- [j1]Hamed Pezeshki, Xiangyun Zhou, Behrouz Maham:
Jamming Energy Allocation in Training-Based Multiple Access Systems. IEEE Commun. Lett. 17(6): 1140-1143 (2013) - 2012
- [i1]Hamed Pezeshki, Xiangyun Zhou, Behrouz Maham:
Jamming Energy Allocation in Training-Based Multiple Access Systems. CoRR abs/1210.0086 (2012)
Coauthor Index
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