Sobhan Sarkar
Orcid: 0000-0001-6040-6051
According to our database1,
Sobhan Sarkar
authored at least 23 papers
between 2017 and 2024.
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Bibliography
2024
Risk Modeling Framework for Strategic and Operational Intervention to Enhance the Effectiveness of a Closed-Loop Supply Chain.
IEEE Trans. Engineering Management, 2024
Artificial intelligence-driven supply chain resilience in Vietnamese manufacturing small- and medium-sized enterprises.
Int. J. Prod. Res., 2024
2023
Video surveillance-based fall detection system using object-level feature thresholding and Z-numbers.
Knowl. Based Syst., November, 2023
An integrated approach using rough set theory, ANFIS, and Z-number in occupational risk prediction.
Eng. Appl. Artif. Intell., 2023
SENE: A novel manifold learning approach for distracted driving analysis with spatio-temporal and driver praxeological features.
Eng. Appl. Artif. Intell., 2023
A two-stage improved Base Point Slacks-Based Measure of super-efficiency for negative data handling.
Comput. Oper. Res., 2023
A Two-phase Approach to Determine User-Preference and Feature Importance in Pricing of Cryptocurrencies using Twitter Data.
Proceedings of the IEEE International Conference on e-Business Engineering, 2023
2022
Neural Comput. Appl., 2022
Correction to: An integrated approach using growing self-organizing map-based genetic K-means clustering and tolerance rough set in occupational risk analysis.
Neural Comput. Appl., 2022
An integrated approach using growing self-organizing map-based genetic K-means clustering and tolerance rough set in occupational risk analysis.
Neural Comput. Appl., 2022
OSWMI: An objective-subjective weighted method for minimizing inconsistency in multi-criteria decision making.
Comput. Ind. Eng., 2022
2021
Comput. Ind. Eng., 2021
Proceedings of the Pattern Recognition and Artificial Intelligence, 2021
A Novel Optimized Method for Feature Selection Using Non-linear Kernel-Free Twin Quadratic Surface Support Vector Machine.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2021
Proceedings of the Seventh International Conference on Mathematics and Computing, 2021
Predicting and Analysing Pedestrian Injury Severity: A Machine Learning-Based Approach.
Proceedings of the Seventh International Conference on Mathematics and Computing, 2021
Proceedings of the Seventh International Conference on Mathematics and Computing, 2021
2020
Text Mining-Based Association Rule Mining for Incident Analysis: A Case Study of a Steel Plant in India.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020
2019
Application of optimized machine learning techniques for prediction of occupational accidents.
Comput. Oper. Res., 2019
2018
Application of hybrid clustering technique for pattern extraction of accident at work: A case study of a steel industry.
Proceedings of the 2018 4th International Conference on Recent Advances in Information Technology (RAIT), 2018
2017
Genetic Algorithm-Based Association Rule Mining Approach Towards Rule Generation of Occupational Accidents.
Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017