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ORCIDArshad Farhad
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2020 – today
- 2023
[j13]Dae-Ho Kim
, Arshad Farhad, Jae-Young Pyun:
UWB Positioning System Based on LSTM Classification With Mitigated NLOS Effects. IEEE Internet Things J. 10(2): 1822-1835 (2023)- [j12]Arshad Farhad, Jae-Young Pyun:
Terahertz Meets AI: The State of the Art. Sensors 23(11): 5034 (2023) - [j11]Arshad Farhad, Jae-Young Pyun:
LoRaWAN Meets ML: A Survey on Enhancing Performance with Machine Learning. Sensors 23(15): 6851 (2023) - [j10]Arshad Farhad, Jae-Young Pyun:
AI-ERA: Artificial Intelligence-Empowered Resource Allocation for LoRa-Enabled IoT Applications. IEEE Trans. Ind. Informatics 19(12): 11640-11652 (2023) - [c7]Arshad Farhad, Goo-Rak Kwon, Jae-Young Pyun:
Mobility Adaptive Data Rate Based on Kalman Filter for LoRa-Empowered IoT Applications. CCNC 2023: 321-324 - 2022
- [j9]Arshad Farhad, Jae-Young Pyun:
HADR: A Hybrid Adaptive Data Rate in LoRaWAN for Internet of Things. ICT Express 8(2): 283-289 (2022) - [j8]Muhammad Ali Lodhi, Lei Wang, Arshad Farhad:
ND-ADR: Nondestructive adaptive data rate for LoRaWAN Internet of Things. Int. J. Commun. Syst. 35(9) (2022) - [j7]Arshad Farhad, Dae-Ho Kim, Jae-Young Pyun:
R-ARM: Retransmission-Assisted Resource Management in LoRaWAN for the Internet of Things. IEEE Internet Things J. 9(10): 7347-7361 (2022) - [j6]Arshad Farhad, Jae-Young Pyun:
Resource Management for Massive Internet of Things in IEEE 802.11ah WLAN: Potentials, Current Solutions, and Open Challenges. Sensors 22(23): 9509 (2022) - [c6]Arshad Farhad, Dae-Ho Kim, Jeong-Sun Yoon, Jae-Young Pyun:
Deep Learning-Based Channel Adaptive Resource Allocation in LoRaWAN. ICEIC 2022: 1-5 - 2021
- [c5]Arshad Farhad, Sandra I. Woolley, Peter Andras:
Federated learning for AI to improve patient care using wearable and IoMT sensors. ICHI 2021: 434 - [c4]Arshad Farhad, Dae-Ho Kim, Jeong-Sun Yoon, Jae-Young Pyun:
Feasibility Study of the LoRaWAN blind Adaptive Data Rate. ICUFN 2021: 67-69 - [c3]Arshad Farhad, Sandra I. Woolley, Peter Andras:
A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things. MIE 2021: 504-505 - 2020
- [j5]Arshad Farhad, Dae-Ho Kim, BeomHun Kim, Alaelddin Fuad Yousif Mohammed, Jae-Young Pyun:
Mobility-Aware Resource Assignment to IoT Applications in Long-Range Wide Area Networks. IEEE Access 8: 186111-186124 (2020) - [j4]Yousaf Zia, Arshad Farhad, Faisal Bashir, Kashif Naseer Qureshi, Ghufran Ahmed:
Content-based dynamic superframe adaptation for Internet of Medical Things. Int. J. Distributed Sens. Networks 16(2) (2020) - [j3]Arshad Farhad, Dae-Ho Kim, Jae-Young Pyun:
Resource Allocation to Massive Internet of Things in LoRaWANs. Sensors 20(9): 2645 (2020) - [j2]Arshad Farhad, Dae-Ho Kim, Santosh Subedi, Jae-Young Pyun:
Enhanced LoRaWAN Adaptive Data Rate for Mobile Internet of Things Devices. Sensors 20(22): 6466 (2020)
2010 – 2019
- 2019
- [c2]Arshad Farhad, Dae-Ho Kim, Pranesh Sthapit, Jae-Young Pyun:
Interference-Aware Spreading Factor Assignment Scheme for the Massive LoRaWAN Network. ICEIC 2019: 1-2 - [c1]Arshad Farhad, Dae-Ho Kim, Jae-Young Pyun:
Scalability of LoRaWAN in an Urban Environment: A Simulation Study. ICUFN 2019: 677-681 - 2016
- [j1]Arshad Farhad, Yousaf Zia, Faisal Bashir Hussain:
Survey of Dynamic Super-Frame Adjustment Schemes in Beacon-Enabled IEEE 802.15.4 Networks: An Application's Perspective. Wirel. Pers. Commun. 91(1): 119-135 (2016)
Coauthor Index
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