Development Of Construction Noise Prediction Method Using Deep Learning Model
Current noise mitigation strategies are ineffective by only relying on passive and restricted noise management. The best practice to minimise noise pollution is to take precautions against noise hazards through noise assessment in the preconstruction stage. Despite that, a few case studies can be fo...
Saved in:
Main Author: | Siew, Jun Teng |
---|---|
Format: | Final Year Project / Dissertation / Thesis |
Published: |
2021
|
Subjects: | |
Online Access: | http://eprints.utar.edu.my/4241/1/1705886_FYP_Report_%2D_JUN_TENG_SIEW.pdf http://eprints.utar.edu.my/4241/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Construction Noise Prediction Using Stochastic Deep Learning
by: Ooi, Wei Chien
Published: (2022) -
Development Of Construction Noise Prediction Method Using Linear Support Vector Regression Model
by: Gam, Li Juen
Published: (2021) -
Development of noise emission database from construction site equipments for construction noise prediction
by: H., Mohd. Noh, et al.
Published: (2009) -
Development of design charts for the prediction of noise from construction activities
by: Haron, Zaiton, et al.
Published: (2012) -
Probability approach for prediction of construction site noise
by: Haron, Zaiton, et al.
Published: (2009)