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Vahid Pourahmadi
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2020 – today
- 2024
- [j21]Zahra Ezzati Khatab, Abbas Mohammadi
, Vahid Pourahmadi, Ali Kuhestani:
A machine learning multi-hop physical layer authentication with hardware impairments. Wirel. Networks 30(3): 1453-1464 (2024) - 2023
- [j20]Vahid Pourahmadi
Spotting Anomalies at the Edge: Outlier Exposure-Based Cross-Silo Federated Learning for DDoS Detection. IEEE Trans. Dependable Secur. Comput. 20(5): 4002-4015 (2023) - [i14]Ali Mirzaei, Vahid Pourahmadi, Hamid Sheikhzadeh, Alireza Abdollahpourrostam:
Fast Classification with Sequential Feature Selection in Test Phase. CoRR abs/2306.14347 (2023) - [i13]Mohamadreza Jafaryani, Hamid Sheikhzadeh, Vahid Pourahmadi:
Parallel and Limited Data Voice Conversion Using Stochastic Variational Deep Kernel Learning. CoRR abs/2309.04420 (2023) - 2022
- [j19]Mohamadreza Jafaryani
Parallel voice conversion with limited training data using stochastic variational deep kernel learning. Eng. Appl. Artif. Intell. 115: 105279 (2022) - [j18]Mohammad Hadi Kefayati, Vahid Pourahmadi
Multi-view WiFi imaging. Signal Process. 197: 108552 (2022) - [j17]Mohammad A. Salahuddin
Chronos: DDoS Attack Detection Using Time-Based Autoencoder. IEEE Trans. Netw. Serv. Manag. 19(1): 627-641 (2022) - 2021
- [j16]Emad Rangriz
Language mapping functions: Improving softmax estimation and word embedding quality. Concurr. Comput. Pract. Exp. 33(24) (2021) - [j15]Saeed Jamshidiha
Link Activation Using Variational Graph Autoencoders. IEEE Commun. Lett. 25(7): 2358-2361 (2021) - [j14]Siavash Barqi Janiar, Vahid Pourahmadi:
Deep-reinforcement learning for fair distributed dynamic spectrum access in priority buffered heterogeneous wireless networks. IET Commun. 15(5): 674-682 (2021) - [j13]Hamid Fathi
Two Novel Algorithms for Low-Rank Matrix Completion Problem. IEEE Signal Process. Lett. 28: 892-896 (2021) - [c9]Siavash Barqi Janiar, Vahid Pourahmadi:
Deep-Reinforcement Learning for Fair Distributed Dynamic Spectrum Access in Wireless Networks. CCNC 2021: 1-4 - [i12]Mohammad Sadegh Safari, Vahid Pourahmadi, Patrick Mitran, Hamid Sheikhzadeh:
Progressive Transmission using Recurrent Neural Networks. CoRR abs/2108.01643 (2021) - 2020
- [j12]Amirhossein Yazdani Abyaneh
CSI-based authentication: Extracting stable features using deep neural networks. Trans. Emerg. Telecommun. Technol. 31(2) (2020) - [j11]Hesam Khoshkbari
Bayesian Reinforcement Learning for Link-Level Throughput Maximization. IEEE Commun. Lett. 24(8): 1738-1741 (2020) - [j10]Saeed Jamshidiha
Link-Level Throughput Maximization Using Deep Reinforcement Learning. IEEE Netw. Lett. 2(3): 101-105 (2020) - [j9]Ali Mirzaei
Deep feature selection using a teacher-student network. Neurocomputing 383: 396-408 (2020) - [j8]Mehran Soltani
Pilot Pattern Design for Deep Learning-Based Channel Estimation in OFDM Systems. IEEE Wirel. Commun. Lett. 9(12): 2173-2176 (2020) - [c8]Mohammad A. Salahuddin, Md. Faizul Bari, Hyame Assem Alameddine, Vahid Pourahmadi, Raouf Boutaba:
Time-based Anomaly Detection using Autoencoder. CNSM 2020: 1-9 - [i11]Mohammad Hadi Kefayati, Vahid Pourahmadi, Hassan Aghaeinia:
Wi2Vi: Generating Video Frames from WiFi CSI Samples. CoRR abs/2001.05842 (2020) - [i10]Mehran Soltani, Vahid Pourahmadi, Hamid Sheikhzadeh:
Pilot Pattern Design for Deep Learning-Based Channel Estimation in OFDM Systems. CoRR abs/2003.08980 (2020) - [i9]Mohamadreza Jafaryani, Saeed Khorram, Vahid Pourahmadi, Minoo Shahbazi:
Sleep Stage Scoring Using Joint Frequency-Temporal and Unsupervised Features. CoRR abs/2004.06044 (2020)
2010 – 2019
- 2019
- [j7]Seyede Nazanin Moosavi
Opportunistic multiple access (OMA) for crowdsensing networks with sparse activation. Trans. Emerg. Telecommun. Technol. 30(4) (2019) - [j6]Mehran Soltani
Deep Learning-Based Channel Estimation. IEEE Commun. Lett. 23(4): 652-655 (2019) - [i8]Ali Mirzaei, Vahid Pourahmadi, Mehran Soltani, Hamid Sheikhzadeh:
Deep Feature Selection using a Teacher-Student Network. CoRR abs/1903.07045 (2019) - [i7]Shirin Seyedsalehi, Vahid Pourahmadi, Hamid Sheikhzadeh, Ali Hossein Gharari Foumani:
Propagation Channel Modeling by Deep learning Techniques. CoRR abs/1908.06767 (2019) - [i6]Pooya Khandel, Amir Hossein Rassafi, Vahid Pourahmadi, Saeed Sharifian, Rong Zheng:
SensorDrop: A Reinforcement Learning Framework for Communication Overhead Reduction on the Edge. CoRR abs/1910.01601 (2019) - 2018
- [j5]Maryam Fallah, Vahid Pourahmadi:
Graph-based iterative measurement-denoising and radio-map generation for semi-supervised indoor localisation. IET Commun. 12(7): 848-853 (2018) - [i5]Mehran Soltani, Ali Mirzaei, Vahid Pourahmadi, Hamid Sheikhzadeh:
Deep Learning-Based Channel Estimation. CoRR abs/1810.05893 (2018) - [i4]Peyman Yazdanian, Vahid Pourahmadi:
DeepPos: Deep Supervised Autoencoder Network for CSI Based Indoor Localization. CoRR abs/1811.12182 (2018) - [i3]Amirhossein Yazdani Abyaneh
Deep Neural Networks Meet CSI-Based Authentication. CoRR abs/1812.04715 (2018) - [i2]Mohammad Sadegh Safari, Vahid Pourahmadi:
Deep UL2DL: Channel Knowledge Transfer from Uplink to Downlink. CoRR abs/1812.07518 (2018) - 2013
- [j4]Vahid Pourahmadi, Abolfazl S. Motahari, Amir K. Khandani:
Multilayer Codes for Broadcasting over Quasi-Static Fading MIMO Networks. IEEE Trans. Commun. 61(4): 1573-1583 (2013) - [j3]Vahid Pourahmadi, Abolfazl S. Motahari, Amir K. Khandani:
Degrees of Freedom of MIMO-MAC with Random Access. IEEE Trans. Commun. 61(5): 1956-1967 (2013) - 2012
- [j2]Vahid Pourahmadi, Alireza Bayesteh, Amir K. Khandani:
Multilayer Coding Over Multihop Single-User Networks. IEEE Trans. Inf. Theory 58(8): 5323-5337 (2012) - [c7]Vahid Pourahmadi, Shahrokh Valaee:
Indoor positioning and distance-aware graph-based semi-supervised learning method. GLOBECOM 2012: 315-320 - 2011
- [b1]Vahid Pourahmadi:
On the Optimal Transmission Strategies for Sources without Channel State Information. University of Waterloo, Ontario, Canada, 2011 - [j1]Vahid Pourahmadi, Shervan Fashandi, Aladdin Saleh, Amir K. Khandani:
Relay Placement in Wireless Networks: A Study of the Underlying Tradeoffs. IEEE Trans. Wirel. Commun. 10(5): 1383-1388 (2011) - [c6]Vahid Pourahmadi, Abolfazl S. Motahari, Amir K. Khandani:
Degrees of freedom of two-user MIMO networks with random medium access control mechanism. ISIT 2011: 1980-1984 - 2010
- [c5]Vahid Pourahmadi, Farzaneh Kohandani, Amin Mobasher
On the Accuracy of Channel Modeling Based on the Kronecker Product. VTC Fall 2010: 1-5
2000 – 2009
- 2009
- [c4]Vahid Pourahmadi, Abolfazl S. Motahari, Amir K. Khandani:
Infinite-layer codes for single-user slowly fading MIMO channels. ISIT 2009: 1525-1529 - [i1]Vahid Pourahmadi, Alireza Bayesteh, Amir K. Khandani:
Multilevel Coding over Two-Hop Single-User Networks. CoRR abs/0905.2422 (2009) - 2008
- [c3]Vahid Pourahmadi, Shervan Fashandi, Aladdin Saleh, Amir K. Khandani:
On the optimal design of two-tier wireless relay networks. MSWiM 2008: 380-386 - 2006
- [c2]Vahid Pourahmadi, Seyed Hamaidreza Jamali, Mohsen Shiva, Reza Safavi-Naieeni:
Effects of Multi-Antenna Techniques on the IEEE 802.11b Throughput in a Slow Rayleigh Fading Channel. VTC Fall 2006: 1-5 - [c1]Vahid Pourahmadi, Seyed Hamaidreza Jamali, Reza Safavi-Naieeni:
Impact of Multi-Antenna on the Performance of the Ad-Hoc WLAN in a Slow Rayleigh Fading Channel. VTC Spring 2006: 1272-1276
Coauthor Index
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last updated on 2024-06-03 00:16 CEST by the dblp team
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