Sobhan Sarkar
Sobhan Sarkar
Assistant Professor, IIM Ranchi|| Associate Editor, MLWA|| Editorial Board Member, JOCEC (ABDC: A)
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Cited by
Cited by
Application of Optimized Machine Learning Techniques for Prediction of Occupational Accidents
S Sarkar, V Sammangi, R Raj, J Maiti, P Mitra
Computers & Operations Research 106, 210-224, 2019
Predicting and analyzing injury severity: A machine learning-based approach using class-imbalanced proactive and reactive data
S Sarkar, A Pramanik, J Maiti, G Reniers
Safety science 125, 104616, 2020
An integrated fuzzy multiple criteria supplier selection approach and its application in a welding company
S Sarkar, DK Pratihar, B Sarkar
Journal of Manufacturing Systems 46, 163-178, 2018
Machine learning in occupational accident analysis: A review using science mapping approach with citation network analysis
S Sarkar, J Maiti
Safety Science 131, 104900, 2020
An optimization-based decision tree approach for predicting slip-trip-fall accidents at work
S Sarkar, R Raj, V Sammangi, J Maiti, DK Pratihar
Safety Science 118, 57-69, 2019
Prediction of occupational accidents using decision tree approach
S Sarkar, A Patel, S Madaan, J Maiti
INDICON 2017, 1-6, 2017
Text mining based safety risk assessment and prediction of occupational accidents in a steel plant
S Sarkar, S Vinay, J Maiti
ICCTICT 2017, 439-444, 2016
A real-time video surveillance system for traffic pre-events detection
A Pramanik, S Sarkar, J Maiti
Accident Analysis & Prevention 154 (5), 106019, 2021
Predictive model for incident occurrences in steel plant in India
S Sarkar, V Pateshwari, J Maiti
ICCCNT 2017, 1-5, 2017
Genetic Algorithm-Based Association Rule Mining Approach Towards Rule Generation of Occupational Accidents
S Sarkar, A Lohani, J Maiti
Communications in Computer and Information Science 776, 517-530, 2017
Prediction of Occupational Incidents Using Proactive and Reactive Data: A Data Mining Approach
S Sarkar, A Verma, J Maiti
Industrial Safety Management- 21st Century Perspective of Asia, 65-79, 2018
Study of optimized SVM for incident prediction of a steel plant in India
S Sarkar, S Vinay, V Pateshwari, J Maiti
INDICON 2017, 1-6, 2017
Segmented point process models for work system safety analysis
S Gautam, J Maiti, A Syamsundar, S Sarkar
Safety Science 95, 15-27, 2017
Application of hybrid clustering technique for pattern extraction of accident at work: A case study of a steel industry
S Sarkar, N Ejaz, J Maiti
2018 4th International Conference on Recent Advances in Information …, 2018
Measurement and modeling of job stress of electric overhead traveling crane operators
OB Krishna, J Maiti, PK Ray, B Samanta, S Mandal, S Sarkar
Safety and health at work 6 (4), 279-288, 2015
Supplier Selection in Uncertain Environment: A Fuzzy MCDM Approach
S Sarkar, V Lakha, I Ansari, J Maiti
ICIC2 - 2016, 257-266, 2017
Data-driven Mapping Between Proactive and Reactive Measures of Occupational Safety Performance
A Verma, S Chatterjee, S Sarkar, J Maiti
Industrial Safety Management- 21st Century Perspective of Asia, 53-63, 2018
Parametric and non-parametric analyses for pedestrian crash severity prediction in Great Britain
M Rella Riccardi, F Mauriello, S Sarkar, F Galante, A Scarano, A Montella
Sustainability 14 (6), 3188, 2022
Decision Support System for Prediction of Occupational Accident: A Case Study from a Steel Plant
S Sarkar, M Chain, S Nayak, J Maiti
Emerging Technologies in Data Mining and Information Security 813, 787-796, 2019
Application of rough set theory in accident analysis at work: A case study
S Sarkar, S Baidya, J Maiti
ICRCICN 2017, 245-250, 2017
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