Pejman Ghasemzadeh

Orcid: 0000-0002-6736-3231

According to our database1, Pejman Ghasemzadeh authored at least 15 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
GGCNN: An Efficiency-Maximizing Gated Graph Convolutional Neural Network Architecture for Automatic Modulation Identification.
IEEE Trans. Wirel. Commun., September, 2023

2022

GS-QRNN: A High-Efficiency Automatic Modulation Classifier for Cognitive Radio IoT.
IEEE Internet Things J., 2022

An OFDM-Based Transceiver Analysis for Railroad Applications.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

A Robust Graph Convolutional Neural Network-Based Classifier for Automatic Modulation Recognition.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

2021
A Spatial-Diversity MIMO Dataset for RF Signal Processing Research.
IEEE Trans. Instrum. Meas., 2021

A Novel High-Accuracy Low-Execution Time Machine Learning- Driven Approach to Automatic Modulation Classification.
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

2020
A Novel Deep Learning and Polar Transformation Framework for an Adaptive Automatic Modulation Classification.
IEEE Trans. Veh. Technol., 2020

Detecting Dark Cars in Railroad Operations using Multi-Antenna Beamforming for Long-Distance Discovery and Identification of AEI Tags.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

A New Framework for Automatic Modulation Classification using Deep Belief Networks.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

2019
A Novel Approach to Social-Behavioral D2D Trust Associations Using Self-Propelled Voronoi.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Analysis of Distribution Test-based and Feature-based Approaches toward Automatic Modulation Classification.
Proceedings of the 30th IEEE Annual International Symposium on Personal, 2019

A Novel Biomimicry-based Analysis of D2D User Association Retention for Achieving Maximal Throughput.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

Accuracy Analysis of Feature-based Automatic Modulation Classification with Blind Modulation Detection.
Proceedings of the International Conference on Computing, Networking and Communications, 2019

2018
Performance Evaluation of Feature-based Automatic Modulation Classification.
Proceedings of the 12th International Conference on Signal Processing and Communication Systems, 2018


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