Tung Lam Pham

Orcid: 0000-0003-2702-7601

Affiliations:
  • Kookmin University, Seongbuk-gu, South Korea


According to our database1, Tung Lam Pham authored at least 11 papers between 2019 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
Deep Learning for Optical Vehicular Communication.
IEEE Access, 2020

Object Detection Framework for High Mobility Vehicles Tracking in Night-Time.
Proceedings of the 2020 International Conference on Artificial Intelligence in Information and Communication, 2020

Rolling MIMO-OFDM for Optical Camera Communication System.
Proceedings of the 2020 International Conference on Artificial Intelligence in Information and Communication, 2020

RNN-based Deep Learning for One-hour ahead Load Forecasting.
Proceedings of the 2020 International Conference on Artificial Intelligence in Information and Communication, 2020

2019
Optical-RoI-Signaling for Vehicular Communications.
IEEE Access, 2019

An Artificial Intelligence-based Error Correction for Optical Camera Communication.
Proceedings of the Eleventh International Conference on Ubiquitous and Future Networks, 2019

Trade-off Communication distance and Data rate of Rolling shutter OCC.
Proceedings of the Eleventh International Conference on Ubiquitous and Future Networks, 2019

Low Power Wide Area Network Technologies for Smart Cities Applications.
Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019

A new method for mitigation of mobility effect of SUN MR-OFDM in Fast Fading channel.
Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019

The Impact of Camera Parameters on Optical Camera Communication.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2019

Solution for Sampling Time Deviation in Decoding RoI-Signaling Waveform Using S2-PSK.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2019


  Loading...