Hamed Pezeshki

16 papers B 1Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Explainable deep learning for software defect prediction: a residual-shuffle network approach with SHAP and LIME.
Int. J. Data Sci. Anal.
Samira Keramat Talatapeh, Mohammad Reza Ebrahimi Dishabi, Hamed Pezeshki, Halimeh Madadi
2024 — conf
Artificial Intelligence and Machine Learning Based Beam Prediction in 5G-Advanced and 6G Communications.
IEEECONF
Qiaoyu Li, Philip Sisk, Arumugam Kannan, Tao Luo, Taesang Yoo, Hamed Pezeshki, Mahmoud Taherzadeh Boroujeni
2023 J jnl
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.
Qiaoyu Li, Philip Sisk, Arumugam Kannan, Taesang Yoo, Tao Luo, Gaurav Shah, Badri Manjunath, Chanaka Samarathungage, Mahmoud Taherzadeh Boroujeni, Hamed Pezeshki, Himanshu Joshi
2023 — conf
Position-Aided Beam Prediction in the Real World: How Useful GPS Locations Actually are?
ICC
João Morais, Arash Bchboodi, Hamed Pezeshki, Ahmed Alkhateeb
2022 B conf
Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods.
GLOBECOM
Hamed Pezeshki, Fabio Valerio Massoli, Arash Behboodi, Taesang Yoo, Arumugam Kannan, Mahmoud Taherzadeh Boroujeni, Qiaoyu Li, Tao Luo, Joseph B. Soriaga
2022 J jnl
Breast tumor segmentation in digital mammograms using spiculated regions.
Biomed. Signal Process. Control.
Hamed Pezeshki
2022 — conf
Long Short-Term Memory Based Millimeter Wave Beam Change Prediction via Real-World Data.
GLOBECOM (Workshops)
Qiaoyu Li, Arumugam Kannan, Himanshu Joshi, Taesang Yoo, Philip Sisk, Mahmoud Taherzadeh Boroujeni, Hamed Pezeshki, Tao Luo
2022 J jnl
Multi-Modal Beam Prediction Challenge 2022: Towards Generalization.
CoRR
Gouranga Charan, Umut Demirhan, João Morais, Arash Behboodi, Hamed Pezeshki, Ahmed Alkhateeb
2022 J jnl
Position Aided Beam Prediction in the Real World: How Useful GPS Locations Actually Are?
CoRR
João Morais, Arash Behboodi, Hamed Pezeshki, Ahmed Alkhateeb
2021 J jnl
Mass classification of mammograms using fractal dimensions and statistical features.
Multidimens. Syst. Signal Process.
Hamed Pezeshki, Maryam Rastgarpour, Arash Sharifi, Samaneh Yazdani
2020 J jnl
Anywhere Decoding: Low-Overhead Uplink Interference Management for Wireless Networks.
IEEE Trans. Wirel. Commun.
Hamed Pezeshki, Masoumeh Sadeghi, Martin Haenggi, J. Nicholas Laneman
2019 J jnl
Anywhere Decoding: Low-Overhead Uplink Interference Management for Wireless Networks.
CoRR
Hamed Pezeshki, Masoumeh Sadeghi, Martin Haenggi, J. Nicholas Laneman
2019 J jnl
Extraction of spiculated parts of mammogram tumors to improve accuracy of classification.
Multim. Tools Appl.
Hamed Pezeshki, Maryam Rastgarpour, Arash Sharifi, Samaneh Yazdani
2015 — conf
Anywhere decoding: Low-overhead basestation cooperation for interference- and fading-limited wireless environments.
Allerton
Hamed Pezeshki, J. Nicholas Laneman
2013 J jnl
Jamming Energy Allocation in Training-Based Multiple Access Systems.
IEEE Commun. Lett.
Hamed Pezeshki, Xiangyun Zhou, Behrouz Maham
2012 J jnl
Jamming Energy Allocation in Training-Based Multiple Access Systems
CoRR
Hamed Pezeshki, Xiangyun Zhou, Behrouz Maham