Sobhan Sarkar

According to our database, Sobhan Sarkar authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Risk Modeling Framework for Strategic and Operational Intervention to Enhance the Effectiveness of a Closed-Loop Supply Chain.

Shisam Bhattacharyya, Sobhan Sarkar, Bishal Dey Sarkar, Ramkrishna Manatkar

IEEE Trans. Engineering Management, 2024

2023

Video surveillance-based fall detection system using object-level feature thresholding and Z-numbers.

Anima Pramanik, Sobhan Sarkar, Sankar K. Pal

Knowl. Based Syst., November, 2023

An integrated approach using rough set theory, ANFIS, and Z-number in occupational risk prediction.

Sobhan Sarkar, Anima Pramanik, Jhareswar Maiti

Eng. Appl. Artif. Intell., 2023

SENE: A novel manifold learning approach for distracted driving analysis with spatio-temporal and driver praxeological features.

Subhajit Bag, Rahul Golder, Sobhan Sarkar, Saptashwa Maity

Eng. Appl. Artif. Intell., 2023

A two-stage improved Base Point Slacks-Based Measure of super-efficiency for negative data handling.

Arup Ratan Paramanik, Sobhan Sarkar, Bijan Sarkar

Comput. Oper. Res., 2023

A Two-phase Approach to Determine User-Preference and Feature Importance in Pricing of Cryptocurrencies using Twitter Data.

Saptashwa Maity, Soujatya Khan, Sobhan Sarkar

Proceedings of the IEEE International Conference on e-Business Engineering, 2023

2022

Classification and pattern extraction of incidents: a deep learning-based approach.

Sobhan Sarkar, Sammangi Vinay, Chawki Djeddi, Jhareswar Maiti

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.

Sobhan Sarkar, Numan Ejaz, Jhareswar Maiti, Anima Pramanik

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.

Sobhan Sarkar, Numan Ejaz, Jhareswar Maiti, Anima Pramanik

Neural Comput. Appl., 2022

OSWMI: An objective-subjective weighted method for minimizing inconsistency in multi-criteria decision making.

Arup Ratan Paramanik, Sobhan Sarkar, Bijan Sarkar

Comput. Ind. Eng., 2022

2021

RT-GSOM: Rough tolerance growing self-organizing map.

Anima Pramanik, Sobhan Sarkar, Jhareswar Maiti, Pabitra Mitra

Inf. Sci., 2021

COVID-19 outbreak: A data-driven optimization model for allocation of patients.

Sobhan Sarkar, Anima Pramanik, Jhareswar Maiti, Genserik Reniers

Comput. Ind. Eng., 2021

Real-Time Detection of Traffic Anomalies Near Roundabouts.

Anima Pramanik, Sobhan Sarkar, Chawki Djeddi, Jhareswar Maiti

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.

Saptashwa Maity, Arjav Rastogi, Chawki Djeddi, Sobhan Sarkar, Jhareswar Maiti

Proceedings of the Pattern Recognition and Artificial Intelligence, 2021

A Two-Fold Multi-objective Multi-verse Optimization-Based Time Series Forecasting.

Cherry Tandu, Mohit Kosuri, Sobhan Sarkar, Jhareswar Maiti

Proceedings of the Seventh International Conference on Mathematics and Computing, 2021

Predicting and Analysing Pedestrian Injury Severity: A Machine Learning-Based Approach.

Anjali Rao, Sobhan Sarkar, Anima Pramanik, Jhareswar Maiti

Proceedings of the Seventh International Conference on Mathematics and Computing, 2021

Multivariate Deep Learning Model with Ensemble Pruning for Time Series Forecasting.

Mohit Kosuri, Cherry Tandu, Sobhan Sarkar, Jhareswar Maiti

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.

Sobhan Sarkar, Sammangi Vinay, Chawki Djeddi, Jhareswar Maiti

Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

Personality Traits Identification Through Handwriting Analysis.

Tahar Mekhaznia, Chawki Djeddi, Sobhan Sarkar

Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

2019

Application of optimized machine learning techniques for prediction of occupational accidents.

Sobhan Sarkar, Sammangi Vinay, Rahul Raj, Jhareswar Maiti, Pabitra Mitra

Comput. Oper. Res., 2019

2018

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

Sobhan Sarkar, Numan Ejaz, Jhareswar Maiti

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.

Sobhan Sarkar, Ankit Lohani, Jhareswar Maiti

Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017