Industrial Accidents and Key Causes: A Case Study of the Steel Industry

Author:

Khahro Shabir Hussain1ORCID,Khahro Qasim Hussain2ORCID,Ali Tauha Hussain3ORCID,Memon Zubair Ahmed1ORCID

Affiliation:

1. Engineering Management, College of Engineering, Prince Sultan University, Saudi Arabia

2. Department of Building & Construction Engineering, Universiti Tun Hussain, Malaysia

3. Civil Engineering, Mehran University of Engineering and Technology, Pakistan

Publisher

ACM

Reference25 articles.

1. S. Sarkar , S. Vinay , V. Pateshwari , and J. Maiti , “ Study of optimized SVM for incident prediction of a steel plant in India ,” 2016 IEEE Annu. India Conf. INDICON 2016 , 2017 , doi: 10.1109/INDICON.2016.7838894. 10.1109/INDICON.2016.7838894 S. Sarkar, S. Vinay, V. Pateshwari, and J. Maiti, “Study of optimized SVM for incident prediction of a steel plant in India,” 2016 IEEE Annu. India Conf. INDICON 2016, 2017, doi: 10.1109/INDICON.2016.7838894.

2. Predicting the outcome of occupational accidents by CART and CHAID methods at a steel factory in Iran;Gholam Abbas Shirali A. S. M.;J. Public health Res.,2018

3. Application of hybrid clustering technique for pattern extraction of accident at work: A case study of a steel industry

4. L. I. Cioca and L. Ivascu , “ Risk indicators and road accident analysis for the period 2012-2016 ,” Sustain. , vol. 9 , no. 9, 2017, doi: 10.3390/su9091530. 10.3390/su9091530 L. I. Cioca and L. Ivascu, “Risk indicators and road accident analysis for the period 2012-2016,” Sustain., vol. 9, no. 9, 2017, doi: 10.3390/su9091530.

5. Predictive model for incident occurrences in steel plant in India

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