Construction Noise Prediction Using Stochastic Deep Learning

QR Code

Construction Noise Prediction Using Stochastic Deep Learning

Construction noise is an occupational noise that is potentially harmful, and it usually originates from earth-moving machines in construction sites. The impact of construction noise on the health and safety of construction workers is one of the main concerns in the industry. The adverse impacts aris...

Full description

Bibliographic Details
Main Author:	Ooi, Wei Chien
Format:	Final Year Project / Dissertation / Thesis
Published:	2022
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.utar.edu.my/4596/ http://eprints.utar.edu.my/4596/1/Ooi_Wei_Chien.pdf

Similar Items

Development Of Construction Noise Prediction Method Using Deep Learning Model
by: Siew, Jun Teng
Published: (2021)

Construction Noise Prediction On The Earth-Moving Activities
by: Ong, Guan Lin
Published: (2020)

Development Of Construction Noise Prediction Method Using Linear Support Vector Regression Model
by: Gam, Li Juen
Published: (2021)

Prediction of future climate trend using stochastic weather generator
by: Ahmad Saifuddin, Othman
Published: (2016)

Conceptual Formulation for Crack Mapping Prediction Using Stochastic Modelling
by: Chuah, Pei Lim
Published: (2021)

Traffic noise prediction in bandar mahkota cheras using calculation of road traffic noise (CORTN)
by: Gan, Yuyun
Published: (2023)

Construction Noise Measurement On The Earthmoving Activities
by: Lim, Ryan Jun Min
Published: (2020)

Visual Crowd Counting System Using Deep Learning
by: Mohd Wafi Nazrul Adam, Mohd Ridhwan Oxley Adam
Published: (2021)

The application of MI pro in the management of air quality and noise pollution at construction sites
by: Kung, Teck Li
Published: (2006)

An ensemble deep learning model for vehicular engine health prediction
by: Joseph Chukwudi, Isinka, et al.
Published: (2024)

Prediction of monthly rainfall at Senai, Johor using artificial immune system and deep learning neural network
by: Noor Rodi, Nur Syazwani, et al.
Published: (2020)

Design and Development of a Practical Macroscopic Wood Identification System Using Deep Learning
by: Tang, Xin Jie
Published: (2019)

Prediction of settlement of road construction on peat
by: Sutejo, Yulindasari, et al.
Published: (2008)

Identifying the mechanism to forecast the progression of Alzheimer’s disease from mild cognitive impairment using deep learning
by: Hiu, Theresa Wei Xin
Published: (2022)

Noise extraction using frequency domain analysis
by: Riduan, Abdul Rahman
Published: (2012)

Construction Site Object Detection API Comparative Study
by: Wong, Yew Chien
Published: (2022)

New learning algorithm based on Hidden Markov Model (HMM) as stochastic modelling for pattern calssification
by: Balakrishnan, Malarvili, et al.
Published: (2009)

Electronic components detection and recognition using deep learning for learning purpose
by: Wan Nur Azhani, Wan Samsudin, et al.
Published: (2021)

Human behaviors classification using deep learning technique
by: Shun, Cheang Chi, et al.
Published: (2022)

Future Daily PM10 Concentrations Prediction In Malaysia Using Artificial Neural Networks, Stochastic Regression And Hybrid Models
by: Yahaya, Ahmad Shukri, et al.
Published: (2015)

Hybrid deep learning approach for accurate prediction of flowability in ultra-high-performance concrete
by: Al-Hinawi, Ayat Mahmoud, et al.
Published: (2024)

Flood forecasting in Langat river basin using stochastic Arima model
by: Yap, Wai Kit
Published: (2015)

Effect of shot noise and secondary emission noise in scanning electron microscope images
by: Sim,, KS, et al.
Published: (2004)

Face recognition using deep learning
by: Ooi, Zi Xen
Published: (2019)

Tool wear prediction in turning using workpiece surface profile images and deep learning neural networks
by: Lim, Meng Lip, et al.
Published: (2022)

Theoretical Insights into Neural Networks and Deep Learning: Advancing Understanding, Interpretability, and Generalization
by: Usmani, Usman Ahmad, et al.
Published: (2023)

An improved bone age assessment using advanced image processing and deep learning approach / Liang Kim Meng
by: Liang , Kim Meng
Published: (2020)

Image approach to english digits recognition using deep learning
by: Fatin Nur Amalina, Zainol, et al.
Published: (2022)

Stochastic modelling for network-based GPS positioning
by: Musa, Tajul A, et al.
Published: (2003)

Detection of Workers’ Behaviour in the Manufacturing Plant using Deep Learning
by: Goh, Ching Pang
Published: (2023)

Analysis Of Personal Protective Equipment Classification Method Using Deep Learning
by: Siti Zahrah Nur Ain, Silopung
Published: (2022)

Vision Based Pedestrian Traffic Counting Using Deep Learning Method
by: Ho, Chia Hui
Published: (2022)

Image signal-to-noise ratio estimation using the autoregressive model
by: Sim, , KS, et al.
Published: (2004)

Classification of rail defect based on B-type display image using deep learning method
by: Li, Jie
Published: (2023)

Bitcoin price prediction using machine learning
by: Tang, Jian Yang
Published: (2023)

The performance of stochastic Taylor methods and derivative-free method to approximate the solutions of stochastic delay differential equations
by: Norhayati, Rosli, et al.
Published: (2019)

Automatic attendance system using face recognition with deep learning algorithm
by: Al-Amoudi, Ibrahim, et al.
Published: (2022)

Vision-based toddler physical activity recognition using deep learning
by: Norasyikin, Fadilah, et al.
Published: (2022)

Assessment on Traffic Noise Pollution in Malaysia
by: Azlina, Ismail, et al.
Published: (2018)

Let’s tasmik mobile apps : Quran tasmik application using deep learning
by: Nor Nabilah, Mustapha, et al.
Published: (2021)