Deep learning enabled semantic communications and data trading
The semantic communication system enables wireless devices to communicate effectively with the semantic meaning of the data. The ability of semantic communication systems to filter the relevant information for effective data communications is envisioned to be one of the key strategies to improve the...
Saved in:
Main Author: | Liew, Zi Qin |
---|---|
Other Authors: | Dusit Niyato |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/176768 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Graph-based deep models for image semantic segmentation
by: Peh, Wei Hang
Published: (2024) -
Economics of semantic communication system: an auction approach
by: Liew, Zi Qin, et al.
Published: (2023) -
Applications of deep learning for physical layer of wireless communication systems
by: Xie, Yihang
Published: (2024) -
Deep-learning for conversational speech using semantic textual analysis
by: Suthakar, Shiny Gladdys
Published: (2022) -
Machine learning and deep learning methods for exchange-traded fund trading
by: Jeremia, Alexander
Published: (2023)