Highly reliable mobile system with the aid of AI
Urban environments are filled with buildings, trees, and other forms of infrastructure. This results in Radio Frequency (RF) signals encountering many obstacles in its path when transmitted from a transmitter to a receiver. It is, therefore, difficult to try to predict and model radio frequency sign...
Saved in:
Main Author: | Chua, Winson Wei Hao |
---|---|
Other Authors: | Lee Yee Hui |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/176235 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
AI for reliable communication network
by: Tsao, Wei Yu
Published: (2024) -
Software-aided disaster risk management with Geolytics.AI
by: Bhatia, Ritik
Published: (2022) -
Genetic algorithm-aided reliability analysis
by: N. Harnpornchai
Published: (2018) -
Diagnosing sarcopenia with AI-Aided ultrasound (DINOSAUR)-a pilot study
by: Yik, Vanessa, et al.
Published: (2024) -
AI aided IoT sensor for green building application
by: Mylsamy Boojha Rukmi
Published: (2024)