A review on supervised machine learning for accident risk analysis: challenges in Malaysia
The new Fourth Industrial Revolution (IR 4.0) trend is driven by the concept of automation and artificial intelligence (AI). However, Malaysia is slightly behind Singapore in terms of adopting AI innovation among ASEAN countries. This paper aims to conduct a literature review of machine learning to...
| Main Authors: | Choo, Boon Chong, Abdul Razak, Musab, Awang Biak, Dayang Radiah, Mohd Tohir, Mohd Zahirasri, Syafiie, S. |
|---|---|
| Format: | Article |
| Published: |
John Wiley & Sons
2022
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/100375/ |
Similar Items
An accident prediction model based on ARIMA in Kuala Lumpur, Malaysia using time series of actual accidents and related data
by: Choo, Boon Chong, et al.
Published: (2023)
by: Choo, Boon Chong, et al.
Published: (2023)
An accident prediction model based on ARIMA in Kuala Lumpur, Malaysia, using time series of actual accidents and related data
by: Choo, Boon Chong, et al.
Published: (2024)
by: Choo, Boon Chong, et al.
Published: (2024)
Technical analysis of occupational fatal accidents in Malaysia using machine learning techniques
by: Zermane, Hanane, et al.
Published: (2024)
by: Zermane, Hanane, et al.
Published: (2024)
Predicting fatal fall from heights accidents using random forest classification machine learning model
by: Zermane, Abderrahim, et al.
Published: (2023)
by: Zermane, Abderrahim, et al.
Published: (2023)
Risk assessment of fatal accidents due to work at heights activities using fault tree analysis: case study in Malaysia
by: Zermane, Abderrahim, et al.
Published: (2022)
by: Zermane, Abderrahim, et al.
Published: (2022)
An early warning system for students at risk using supervised machine learning
by: Yam, Zheng Hong, et al.
Published: (2024)
by: Yam, Zheng Hong, et al.
Published: (2024)
Analysis of the contributing factors for fatal accidents due to falls from heights in Malaysia and the USA
by: Zermane, Abderrahim, et al.
Published: (2020)
by: Zermane, Abderrahim, et al.
Published: (2020)
Externally initiated event in sequential risk assessment for the onshore LNG marine loading arm unit
by: Dirik, Cengiz, et al.
Published: (2022)
by: Dirik, Cengiz, et al.
Published: (2022)
Challenges in supervised and unsupervised learning: a comprehensive overview
by: Almuqati, Mohammed Tuays, et al.
Published: (2024)
by: Almuqati, Mohammed Tuays, et al.
Published: (2024)
The capability of B-RISK zone modelling software to simulate BRE multiple vehicle fire spread test
by: Mohd Tohir, Mohd Zahirasri, et al.
Published: (2017)
by: Mohd Tohir, Mohd Zahirasri, et al.
Published: (2017)
Thermal decomposition and combustion analysis of Malaysian peat soil samples using Coats Redfern model-free method
by: Musa, Dayang Nur Sakinah, et al.
Published: (2024)
by: Musa, Dayang Nur Sakinah, et al.
Published: (2024)
Efficient Supervised Machine Learning Techniques for Structural Health Monitoring
by: Chencho
Published: (2022)
by: Chencho
Published: (2022)
Supervision
by: Muhamad Awang, Rita
Published: (2012)
by: Muhamad Awang, Rita
Published: (2012)
H∞ state-observer controller synthesis for multiple time-delay systems
by: Syafiie, S., et al.
Published: (2023)
by: Syafiie, S., et al.
Published: (2023)
Exploration of black boxes of supervised machine learning models: A demonstration on development of predictive heart risk score
by: Sajid, Mirza Rizwan, et al.
Published: (2022)
by: Sajid, Mirza Rizwan, et al.
Published: (2022)
Emotional profiling through supervised machine learning of interrupted EEG interpolation
by: Yaacob, Hamwira Sakti, et al.
Published: (2019)
by: Yaacob, Hamwira Sakti, et al.
Published: (2019)
Prediction of COVID-19 patient using supervised machine learning algorithm
by: M., Buvana, et al.
Published: (2021)
by: M., Buvana, et al.
Published: (2021)
Road accidents to children as pedestrians: the relationship between behaviour and accident risk
by: Repetto-Wright, Richard John Talbot
Published: (1977)
by: Repetto-Wright, Richard John Talbot
Published: (1977)
Safety behavior and incident experience of worker in gas stations of Suratthani Province, Thailand
by: Songkhla, Thitima Na, et al.
Published: (2018)
by: Songkhla, Thitima Na, et al.
Published: (2018)
A supervised machine-learning method for optimizing the automatic transmission system of wind turbines
by: Aladwani, Habeeb A. H. R., et al.
Published: (2022)
by: Aladwani, Habeeb A. H. R., et al.
Published: (2022)
A survey on supervised machine learning in intrusion detection systems for Internet of Things
by: Shakirah, Saidin, et al.
Published: (2023)
by: Shakirah, Saidin, et al.
Published: (2023)
Predicting spatial sound attenuation in buildings with machine learning: Implications for fire alarm placement
by: Noumeur, Abdelmoutaleb, et al.
Published: (2025)
by: Noumeur, Abdelmoutaleb, et al.
Published: (2025)
Dielectric effects of bacterial cellulose (BC) impregnated with in-house synthesized carbon nanotubes (CNTs)
by: Adnan, Sharmeen, et al.
Published: (2010)
by: Adnan, Sharmeen, et al.
Published: (2010)
Development of a hybrid PSO-ANN model for estimating glucose and xylose yields for microwave-assisted pretreatment and the enzymatic hydrolysis of lignocellulosic biomass
by: Mohammad, Saleem Ethaib, et al.
Published: (2018)
by: Mohammad, Saleem Ethaib, et al.
Published: (2018)
Microwave-assisted dilute acid pretreatment and enzymatic hydrolysis of sago palm bark
by: Ethaib, Saleem, et al.
Published: (2016)
by: Ethaib, Saleem, et al.
Published: (2016)
Low-temperature dilute acid hydrolysis of oil palm frond
by: Amirkhani, Hadi, et al.
Published: (2015)
by: Amirkhani, Hadi, et al.
Published: (2015)
Probiotic or antibiotic: future challenges in medicine
by: Nami, Yousef, et al.
Published: (2015)
by: Nami, Yousef, et al.
Published: (2015)
Study the thermal stability of nitrogen doped reduced graphite oxide supported copper catalyst
by: Mageed, Alyaa Khadhier, et al.
Published: (2018)
by: Mageed, Alyaa Khadhier, et al.
Published: (2018)
Nitrogen doped graphene-supported trimetallic CuNiRu nanoparticles catalyst for catalytic dehydrogenation of cyclohexanol to cyclohexanone
by: Mageed, Alyaa Khadhier, et al.
Published: (2019)
by: Mageed, Alyaa Khadhier, et al.
Published: (2019)
Probability of fire spread between vehicles in car parking buildings
by: Mohd Tohir, Mohd Zahirasri, et al.
Published: (2019)
by: Mohd Tohir, Mohd Zahirasri, et al.
Published: (2019)
Probability of fire spread between vehicles in car parking buildings
by: Mohd Tohir, Mohd Zahirasri, et al.
Published: (2017)
by: Mohd Tohir, Mohd Zahirasri, et al.
Published: (2017)
Predicting the stress level of students using supervised machine learning and artificial neural network (ANN)
by: Arya, Suraj, et al.
Published: (2024)
by: Arya, Suraj, et al.
Published: (2024)
A Survey Of Supervised Machine Learning In Wireless Sensor Network: A Power Management Perspective
by: Ul haq, Riaz, et al.
Published: (2013)
by: Ul haq, Riaz, et al.
Published: (2013)
Rock melon crop yield prediction using supervised classification machine learning on cloud computing
by: Zakaria, Mohamad Khairul Zamidi, et al.
Published: (2024)
by: Zakaria, Mohamad Khairul Zamidi, et al.
Published: (2024)
Fractional order sliding mode controller based on supervised machine learning techniques for speed control of PMSM
by: Zahraoui, Younes, et al.
Published: (2023)
by: Zahraoui, Younes, et al.
Published: (2023)
The relationship between supervision contextual factors and supervision outcomes
by: Ghazali, Nor Mazlina, et al.
Published: (2018)
by: Ghazali, Nor Mazlina, et al.
Published: (2018)
Occupational accident insurance for all workers: the new challenges for China
by: Guthrie, Rob, et al.
Published: (2008)
by: Guthrie, Rob, et al.
Published: (2008)
Virtual supervision: towards innovative supervision experience in Malaysian institutions of higher learning
by: Abdul Wahat, Nor Wahiza, et al.
Published: (2012)
by: Abdul Wahat, Nor Wahiza, et al.
Published: (2012)
Diabetes Diagnosis And Level Of Care Fuzzy Rule-Based Model Utilizing Supervised Machine Learning For Classification And Prediction
by: Mohd Aris, Teh Noranis, et al.
Published: (2024)
by: Mohd Aris, Teh Noranis, et al.
Published: (2024)
Novel approaches for tinnitus subphenotyping: evidence synthesis, standardised assessment, and supervised and unsupervised machine learning applications
by: Genitsaridi, Eleni
Published: (2021)
by: Genitsaridi, Eleni
Published: (2021)
Similar Items
-
An accident prediction model based on ARIMA in Kuala Lumpur, Malaysia using time series of actual accidents and related data
by: Choo, Boon Chong, et al.
Published: (2023) -
An accident prediction model based on ARIMA in Kuala Lumpur, Malaysia, using time series of actual accidents and related data
by: Choo, Boon Chong, et al.
Published: (2024) -
Technical analysis of occupational fatal accidents in Malaysia using machine learning techniques
by: Zermane, Hanane, et al.
Published: (2024) -
Predicting fatal fall from heights accidents using random forest classification machine learning model
by: Zermane, Abderrahim, et al.
Published: (2023) -
Risk assessment of fatal accidents due to work at heights activities using fault tree analysis: case study in Malaysia
by: Zermane, Abderrahim, et al.
Published: (2022)