| A novel deep learning and polar transformation framework for an adaptive automatic modulation classification P Ghasemzadeh, S Banerjee, M Hempel, H Sharif IEEE Transactions on Vehicular Technology 69 (11), 13243 - 13258, 2020 | 35 | 2020 |
| Accuracy analysis of feature-based automatic modulation classification with blind modulation detection P Ghasemzadeh, S Banerjee, M Hempel, H Sharif 2019 IEEE International Conference on Computing, Networking and …, 2019 | 33 | 2019 |
| Performance evaluation of feature-based automatic modulation classification P Ghasemzadeh, S Banerjee, M Hempel, H Sharif 2018 IEEE 12th International Conference on Signal Processing and …, 2018 | 24 | 2018 |
| GS-QRNN: A High-Efficiency Automatic Modulation Classifier for Cognitive Radio IoT P Ghasemzadeh, M Hempel, H Sharif IEEE Internet of Things Journal 9 (12), 9467-9477, 2022 | 23 | 2022 |
| A novel method of near-miss event detection with software defined RADAR in improving railyard safety S Banerjee, J Santos, M Hempel, P Ghasemzadeh, H Sharif MDBI, Safety 5 (3), 55, 2019 | 18 | 2019 |
| A new framework for automatic modulation classification using deep belief networks P Ghasemzadeh, S Banerjee, M Hempel, H Sharif 2020 IEEE International Conference on Communications Workshops (ICC …, 2020 | 16 | 2020 |
| A novel approach to social-behavioral d2d trust associations using self-propelled voronoi S Banerjee, M Hempel, P Ghasemzadeh, Y Qian, H Sharif 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 1-5, 2019 | 14 | 2019 |
| A Novel Biomimicry-based Analysis of D2D User Association Retention for Achieving Maximal Throughput S Banerjee, M Hempel, P Ghasemzadeh, H Sharif 2019 IEEE 15th International Wireless Communications & Mobile Computing …, 2019 | 14 | 2019 |
| Analysis of distribution test-based and feature-based approaches toward automatic modulation classification P Ghasemzadeh, S Banerjee, M Hempel, M Alahmad, H Sharif 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile …, 2019 | 13 | 2019 |
| High Speed Train Wireless Communication: Handover Performance Analysis for Different Radio Access Technologies S Banerjee, M Hempel, P Ghasemzadeh, N Albakay, H Sharif 2019 IEEE/ASME Joint Rail Conference 58523, V001T03A006, 2019 | 12 | 2019 |
| A Framework for High-Speed Passenger Train Wireless Network Radio Evaluations S Banerjee, M Hempel, N Albakay, P Ghasemzadeh, H Sharif 2019 IEEE/ASME Joint Rail Conference, V001T08A003, 2019 | 12 | 2019 |
| A Spatial-Diversity MIMO Dataset for RF Signal Processing Research P Ghasemzadeh, M Hempel, S Banerjee, H Sharif IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2021 | 9 | 2021 |
| GGCNN: an efficiency-maximizing gated graph convolutional neural network architecture for automatic modulation identification P Ghasemzadeh, M Hempel, H Wang, H Sharif IEEE Transactions on Wireless Communications, 2023 | 8 | 2023 |
| Wireless Communication for High-Speed Passenger Rail Services: A Study on the Design and Evaluation of a Unified Architecture S Banerjee, M Hempel, P Ghasemzadeh, H Sharif, T Omar 2020 IEEE/ASME Joint Rail Conference 83587, V001T11A004, 2020 | 6 | 2020 |
| Topography Relaxation in determining Unsafe State Intersections for Uncertain CPS S Banerjee, P Ghasemzadeh, M Hempel, H Sharif IEEE Sensors Letters 4 (4), 1-4, 2020 | 6 | 2020 |
| Evaluation of machine learning-driven automatic modulation classifiers under various signal models P Ghasemzadeh, S Banerjee, M Hempel, H Sharif, T Omar 2020 IEEE/ASME Joint Rail Conference 83587, V001T11A007, 2020 | 6 | 2020 |
| A Robust Graph Convolutional Neural Network-Based Classifier for Automatic Modulation Recognition P Ghasemzadeh, M Hempel, H Sharif 2022 IEEE International Wireless Communications and Mobile Computing (IWCMC …, 2022 | 5 | 2022 |
| Detecting Dark Cars Using a Novel Multi-Antenna AEI Tag Reader Design for Increased Read Distance and Reliability P Ghasemzadeh, S Banerjee, M Hempel, A Harms, H Sharif 2020 IEEE/ASME Joint Rail Conference 83587, V001T11A006, 2020 | 5 | 2020 |
| Deep Learning and Polar Transformation to Achieve a Novel Adaptive Automatic Modulation Classification Framework P Ghasemzadeh University of Nebraska-Lincoln, 2020 | 4 | 2020 |
| A novel high-accuracy low-execution time machine learning-driven approach to automatic modulation classification P Ghasemzadeh, M Hempel, H Sharif 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC …, 2021 | 3 | 2021 |
Hamid R SharifUniversity of Nebraska-LincolnVerified email at UNL.edu
