Unified fire sensing concept and time-series regression machine learning of environment-based features for quantifiable "no-fire" models
This paper presents an in-depth exploration into fire sensing methodologies, with a specific focus on the development of a robust "No-Fire Detection Model." Various machine learning models were employed to construct a reliable predictive framework. The study emphasizes the identification a...
Saved in:
Main Author: | Wang, Xiaoni |
---|---|
Other Authors: | Li King Ho, Holden |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/172912 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Predicting Forest Fire Using Remote Sensing Data And Machine Learning
by: Yang, Suwei, et al.
Published: (2021) -
No-fire modelling for no-fire detector
by: Pyae Phyo Kyaw
Published: (2024) -
Automation of the fire extinguisher system targeting for incipient residential fire
by: Wang, Wenyang
Published: (2019) -
Fire from volcanic activity: quantifying the threat from an understudied hazard
by: Quah, Jia Yong, et al.
Published: (2024) -
Fire extinguishers
by: Paredes, Jose B., et al.
Published: (1969)