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2020 – today
- 2024
[j6]Wardah Sarmad
, Syed Maaz Shahid, Ezhan Karasan, Sungoh Kwon:
Performance Analysis of an In-Band Full-Duplex MAC Protocol for Future Wireless Networks. IEEE Syst. J. 18(1): 415-425 (2024)- [c5]Syed Maaz Shahid, SungKyung Kim, Sungoh Kwon:
Federated Learning for User Mobility Classification in 5G Heterogeneous Networks. VTC Spring 2024: 1-6 - 2023
- [j5]Yemane Teklay Seyoum, Syed Maaz Shahid, Eun Seon Cho, Sungoh Kwon:
Distributed load balancing algorithm considering QoS for next generation multi-RAT HetNets. Comput. Networks 229: 109758 (2023) - 2022
- [j4]Syed Maaz Shahid, Sungoh Kwon:
Distributed robust channel allocation for clustered cognitive radio-based IoT networks using graph theory. Comput. Networks 218: 109406 (2022) - [j3]Syed Maaz Shahid, Sunghoon Ko, Sungoh Kwon:
Real-time abnormality detection and classification in diesel engine operations with convolutional neural network. Expert Syst. Appl. 192: 116233 (2022) - [c4]Syed Maaz Shahid, Sunghoon Ko, Sungoh Kwon:
Performance Comparison of 1D and 2D Convolutional Neural Networks for Real-Time Classification of Time Series Sensor Data. ICOIN 2022: 507-511 - 2020
- [j2]Syed Maaz Shahid, Yemane Teklay Seyoum, Seok Ho Won, Sungoh Kwon:
Load Balancing for 5G Integrated Satellite-Terrestrial Networks. IEEE Access 8: 132144-132156 (2020) - [c3]Syed Maaz Shahid, Md. Mehedi Hasan, Sungoh Kwon:
Distributed Dynamic Channel Assignment for Sensor Networks in 5G mMTC. ICOIN 2020: 178-183 - [c2]Alessandro Giuseppi, Syed Maaz Shahid, Emanuele De Santis, Seok Ho Won, Sungoh Kwon, Taesang Choi:
Design and Simulation of the Multi-RAT Load-balancing Algorithms for 5G-ALLSTAR Systems. ICTC 2020: 594-596
2010 – 2019
- 2019
- [j1]Syed Maaz Shahid, Sunghoon Ko, Sungoh Kwon:
Real-Time Classification of Diesel Marine Engine Loads Using Machine Learning. Sensors 19(14): 3172 (2019) - [c1]Syed Maaz Shahid, BaekDu Jo, Sunghoon Ko, Sungoh Kwon:
Neural Network-based Classification for Engine Load. ICAIIC 2019: 568-571
Coauthor Index
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last updated on 2024-10-08 20:30 CEST by the dblp team
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