Sobhan Sarkar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Association Rule Mining

Modeling Framework

Tolerance Rough Set

Top Venues

Neural Comput. Appl.

Comput. Oper. Res.

Publications

Prasanta Kumar Dey, Soumyadeb Chowdhury, Amelie Abadie, Emilia Vann Yaroson, Sobhan Sarkar
Artificial intelligence-driven supply chain resilience in Vietnamese manufacturing small- and medium-sized enterprises. Int. J. Prod. Res. 62 (15) (2024)
Shisam Bhattacharyya, Sobhan Sarkar, Bishal Dey Sarkar, Ramkrishna Manatkar
Risk Modeling Framework for Strategic and Operational Intervention to Enhance the Effectiveness of a Closed-Loop Supply Chain. IEEE Trans. Engineering Management 71 (2024)
Anima Pramanik, Sobhan Sarkar, Sankar K. Pal
Video surveillance-based fall detection system using object-level feature thresholding and Z-numbers. Knowl. Based Syst. 280 (2023)
Sobhan Sarkar, Anima Pramanik, Jhareswar Maiti
An integrated approach using rough set theory, ANFIS, and Z-number in occupational risk prediction. Eng. Appl. Artif. Intell. 117 (Part) (2023)
Saptashwa Maity, Soujatya Khan, Sobhan Sarkar
A Two-phase Approach to Determine User-Preference and Feature Importance in Pricing of Cryptocurrencies using Twitter Data. ICEBE (2023)
Subhajit Bag, Rahul Golder, Sobhan Sarkar, Saptashwa Maity
SENE: A novel manifold learning approach for distracted driving analysis with spatio-temporal and driver praxeological features. Eng. Appl. Artif. Intell. 123 (Part C) (2023)
Arup Ratan Paramanik, Sobhan Sarkar, Bijan Sarkar
A two-stage improved Base Point Slacks-Based Measure of super-efficiency for negative data handling. Comput. Oper. Res. 150 (2023)
Sobhan Sarkar, Numan Ejaz, Jhareswar Maiti, Anima Pramanik
An integrated approach using growing self-organizing map-based genetic K-means clustering and tolerance rough set in occupational risk analysis. Neural Comput. Appl. 34 (12) (2022)
Sobhan Sarkar, Sammangi Vinay, Chawki Djeddi, Jhareswar Maiti
Classification and pattern extraction of incidents: a deep learning-based approach. Neural Comput. Appl. 34 (17) (2022)
Arup Ratan Paramanik, Sobhan Sarkar, Bijan Sarkar
OSWMI: An objective-subjective weighted method for minimizing inconsistency in multi-criteria decision making. Comput. Ind. Eng. 169 (2022)
Sobhan Sarkar, Numan Ejaz, Jhareswar Maiti, Anima Pramanik
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. 34 (23) (2022)
Anima Pramanik, Sobhan Sarkar, Jhareswar Maiti, Pabitra Mitra
RT-GSOM: Rough tolerance growing self-organizing map. Inf. Sci. 566 (2021)
Anjali Rao, Sobhan Sarkar, Anima Pramanik, Jhareswar Maiti
Predicting and Analysing Pedestrian Injury Severity: A Machine Learning-Based Approach. ICMC (2021)
Cherry Tandu, Mohit Kosuri, Sobhan Sarkar, Jhareswar Maiti
A Two-Fold Multi-objective Multi-verse Optimization-Based Time Series Forecasting. ICMC (2021)
Sobhan Sarkar, Anima Pramanik, Jhareswar Maiti, Genserik Reniers
COVID-19 outbreak: A data-driven optimization model for allocation of patients. Comput. Ind. Eng. 161 (2021)
Anima Pramanik, Sobhan Sarkar, Chawki Djeddi, Jhareswar Maiti
Real-Time Detection of Traffic Anomalies Near Roundabouts. MedPRAI (2021)
Saptashwa Maity, Arjav Rastogi, Chawki Djeddi, Sobhan Sarkar, Jhareswar Maiti
A Novel Optimized Method for Feature Selection Using Non-linear Kernel-Free Twin Quadratic Surface Support Vector Machine. MedPRAI (2021)
Mohit Kosuri, Cherry Tandu, Sobhan Sarkar, Jhareswar Maiti
Multivariate Deep Learning Model with Ensemble Pruning for Time Series Forecasting. ICMC (2021)
Sobhan Sarkar, Sammangi Vinay, Chawki Djeddi, Jhareswar Maiti
Text Mining-Based Association Rule Mining for Incident Analysis: A Case Study of a Steel Plant in India. MedPRAI (2020)
Tahar Mekhaznia, Chawki Djeddi, Sobhan Sarkar
Personality Traits Identification Through Handwriting Analysis. MedPRAI (2020)
Sobhan Sarkar, Sammangi Vinay, Rahul Raj, Jhareswar Maiti, Pabitra Mitra
Application of optimized machine learning techniques for prediction of occupational accidents. Comput. Oper. Res. 106 (2019)
Sobhan Sarkar, Numan Ejaz, Jhareswar Maiti
Application of hybrid clustering technique for pattern extraction of accident at work: A case study of a steel industry. RAIT (2018)
Sobhan Sarkar, Ankit Lohani, Jhareswar Maiti
Genetic Algorithm-Based Association Rule Mining Approach Towards Rule Generation of Occupational Accidents. CICBA (2) (2017)