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Harrison Kurunathan
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2020 – today
- 2024
- [j8]Harrison Kurunathan
, Hailong Huang
Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey. IEEE Commun. Surv. Tutorials 26(1): 496-533 (2024) - [j7]Harrison Kurunathan
DRL-KeyAgree: An Intelligent Combinatorial Deep Reinforcement Learning-Based Vehicular Platooning Secret Key Generation. IEEE Trans. Intell. Transp. Syst. 25(11): 16354-16369 (2024) - [c14]Harrison Kurunathan, Miguel Gutiérrez Gaitán, Ramiro Sámano-Robles, Eduardo Tovar:
DynaVLC - Towards Dynamic GTS Allocation in VLC Networks (Invited Paper). NG-RES@HiPEAC 2024: 3:1-3:11 - [c13]Harrison Kurunathan
Q-light: Q-learning enabled VLC network routing. MobiArch 2024: 31-36 - 2023
- [c12]João Pereira, Harrison Kurunathan
Edge-Aided V2X Collision Avoidance with Platoons: Towards a Hybrid Evaluation Toolset. DSN-W 2023: 68-71 - [c11]Marco Araújo, João Silva, Pedro M. Santos
Demo: Object detection under 5G-edge mobility. WoWMoM 2023: 343-345 - [c10]Harrison Kurunathan
Towards Safe Cooperative Autonomous Platoon systems using COTS Equipment. WoWMoM 2023: 464-469 - 2022
- [j6]R. Indhumathi
Hybrid pixel based method for multimodal image fusion based on Integration of Pulse Coupled Neural Network (PCNN) and Genetic Algorithm (GA) using Empirical Mode Decomposition (EMD). Microprocess. Microsystems 94: 104665 (2022) - [c9]Kai Li, Wei Ni, Harrison Kurunathan
Data-driven Deep Reinforcement Learning for Online Flight Resource Allocation in UAV-aided Wireless Powered Sensor Networks. ICC 2022: 1-6 - [i1]Harrison Kurunathan, Hailong Huang, Kai Li, Wei Ni, Ekram Hossain:
Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey. CoRR abs/2211.04324 (2022) - 2021
- [b1]Harrison Kurunathan:
Improving QoS for IEEE 802.15.4e DSME Networks. University of Porto, Portugal, 2021 - [j5]Harrison Kurunathan
A Comprehensive Worst Case Bounds Analysis of IEEE 802.15.7. J. Sens. Actuator Networks 10(2): 23 (2021) - [c8]Harrison Kurunathan
Deep Reinforcement Learning for Persistent Cruise Control in UAV-aided Data Collection. LCN 2021: 347-350 - [c7]Radha Reddy
Work-in-Progress: Worst-Case Response Time of Intersection Management Protocols. RTSS 2021: 556-559 - 2020
- [c6]Harrison Kurunathan
WiCAR - Simulating Towards the Wireless Car. SAFECOMP Workshops 2020: 136-147 - [c5]Walter Tiberti
Tightening Up Security In Low Power Deterministic Networks. WFCS 2020: 1-7
2010 – 2019
- 2019
- [j4]Harrison Kurunathan
DynaMO - Dynamic Multisuperframe Tuning for Adaptive IEEE 802.15.4e DSME Networks. IEEE Access 7: 122522-122535 (2019) - [j3]Harrison Kurunathan
DynaMO: dynamically tuning DSME networks. SIGBED Rev. 16(4): 8-13 (2019) - [j2]Harrison Kurunathan
Symphony: routing aware scheduling for DSME networks. SIGBED Rev. 16(4): 26-31 (2019) - 2018
- [j1]Harrison Kurunathan
IEEE 802.15.4e in a Nutshell: Survey and Performance Evaluation. IEEE Commun. Surv. Tutorials 20(3): 1989-2010 (2018) - [c4]Kai Li
Cooperative key generation for data dissemination in cyber-physical systems. ICCPS 2018: 331-332 - [c3]Harrison Kurunathan, Ricardo Severino
An efficient approach to multisuperframe tuning for DSME networks: poster abstract. IPSN 2018: 162-163 - 2017
- [c2]Harrison Kurunathan
Worst-case bound analysis for the time-critical MAC behaviors of IEEE 802.15.4e. WFCS 2017: 1-9 - 2016
- [c1]Harrison Kurunathan
Poster Abstract: Towards Worst-Case Bounds Analysis of the IEEE 802.15.4e. RTAS 2016: 62
Coauthor Index
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last updated on 2024-12-23 19:31 CET by the dblp team
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