S Sarkar, A Pramanik, J Maiti, G Reniers (2021). COVID-19 outbreak: A data-driven optimization model for allocation of patients, Computers & Industrial Engineering 161, 107675 1 2021

A Garg, J Maiti, A Kumar (2021). Granulized Z‐OWA aggregation operator and its application in fuzzy risk assessment, International Journal of Intelligent Systems 2021

S Das, A Garg, Y Khorania, J Maiti (2021). Dual hesitant Z‐number (DHZN), correlated distance, and risk quantification, International Journal of Intelligent Systems 2021

A Pramanik, S Sarkar, J Maiti, P Mitra (2021). RT-GSOM: Rough tolerance growing self-organizing map, Information Sciences 566, 19-37 3 2021

C Roy, S Misra, J Maiti, S Nag (2021). EdgeSafe: Dynamic Load Balancing Among Edge Nodes for Provisioning Safety-as-a-Service in Vehicular IoT Applications, IEEE Transactions on Vehicular Technology 70 (9), 9320-9329 2021

C Roy, CR Chowdhury, S Misra, J Maiti (2021). DQ-Map: Dynamic Decision Query Mapping for Provisioning Safety-as-a-Service in IoT, IEEE Internet of Things Journal 2021

K Dhalmahapatra, J Maiti, OB Krishna (2021). Assessment of virtual reality based safety training simulator for electric overhead crane operations, Safety science 139, 105241 3 2021

A Pramanik, S Sarkar, J Maiti (2021). A real-time video surveillance system for traffic pre-events detection, Accident Analysis & Prevention 154, 106019 4 2021

SK Pal, A Pramanik, J Maiti, P Mitra (2021). Deep learning in multi-object detection and tracking: state of the art Applied Intelligence, 1-30 10 2021

A Pramanik, SK Pal, J Maiti, P Mitra (2021).Granulated RCNN and multi-class deep sort for multi-object detection and tracking, IEEE Transactions on Emerging Topics in Computational Intelligence 6 2021

A Pramanik, V Nande, AS Pradhan, S Sarkar, J Maiti (2021). Dynamic Functional Bandwidth Kernel-Based SVM: An Efficient Approach for Functional Data Analysis, Emerging Technologies in Data Mining and Information Security, 673-681

A Pramanik, S Sarkar, V Sai Siddharth, J Maiti, P Mitra

Semi-automated Ontology Creation and Upgradation for Rail-Road Incidents: A Case of a Steel Plant in India

Das, S., Garg, A., Maiti, J., Krishna, O. B., Thakkar, J. J., & Gangwar, R. K. (2021). A comprehensive methodology for quantification of Bow-tie under type II fuzzy data. Applied Soft Computing, 107148.

Garg, A., Das, S., Maiti, J., & Pal, S. K. (2020). Granulized Z-VIKOR model for failure mode and effect analysis. IEEE Transactions on Fuzzy.

Das, S., Maiti, J., & Krishna, O. B. (2020). Assessing mental workload in virtual reality based EOT crane operations: A multi-measure approach. International Journal of Industrial Ergonomics, 80, 103017.

Roy, C., Misra, S., Maiti, J., & Chakravarty, U. (2020). Safe-Serv: Energy-Efficient Decision Delivery for Provisioning Safety-as-a-Service. IEEE Transactions on Services Computing.

Das, S., Dhalmahapatra, K., & Maiti, J. (2020). Z-number integrated weighted VIKOR technique for hazard prioritization and its application in virtual prototype based EOT crane operations. Applied Soft Computing, 94, 106419.

Dhalmahapatra, K., Das, S., & Maiti, J. (2020). On accident causation models, safety training and virtual reality. International journal of occupational safety and ergonomics, 1-17.

Verma, A., Maiti, J., & Boustras, G. (2020). Analysis of categorical incident data and design for safety interventions using axiomatic design framework. Safety science, 123, 104557.

Sarkar, S., Pramanik, A., Maiti, J., & Reniers, G. (2020). Predicting and analyzing injury severity: A machine learning-based approach using class-imbalanced proactive and reactive data. Safety science, 125, 104616.

Sarkar, S., & Maiti, J. (2020). Machine learning in occupational accident analysis: A review using science mapping approach with citation network analysis. Safety science,131, 104900.

Dhalmahapatra, K., Shingade, R., & Maiti, J. (2020). An innovative integrated modelling of safety data using multiple correspondence analysis and fuzzy discretization techniques. Safety Science, 130, 104828.

Singh, K., & Maiti, J. (2020). A novel data mining approach for analysis of accident paths and performance assessment of risk control systems. Reliability Engineering & System Safety, 202, 107041.

Dhalmahapatra, K., Maiti, J. and Krishna, O.B., (2021). Assessment of virtual reality based safety training simulator for electric overhead crane operations. Safety Science, 139,p.105241.

Pramanik, A., Sarkar, S., Maiti, J. and Mitra, P., (2021). RT-GSOM: Rough tolerance growing self-organizing map. Information Sciences, 566, pp.19-37.

Pramanik, A., Sarkar, S. and Maiti, J., (2021). A real-time video surveillance system for traffic pre-events detection. Accident Analysis & Prevention, 154, p.106019.

Roy, C., Misra, S., Maiti, J. and Nag, S., (2021). EdgeSafe: Dynamic Load Balancing Among Edge Nodes for Provisioning Safety-as-a-Service in Vehicular IoT Applications. IEEE Transactions on Vehicular Technology, 70(9), pp.9320-9329.

Roy, C., Chowdhury, C.R., Misra, S. and Maiti, J., (2021). DQ-Map: Dynamic Decision Query Mapping for Provisioning Safety-as-a-Service in IoT. IEEE Internet of Things Journal.

Sarkar, S., Pramanik, A., Maiti, J. and Reniers, G., (2021). COVID-19 outbreak: A data-driven optimization model for allocation of patients. Computers & Industrial Engineering, 161, p.107675.

Upadhyay, R., Senapati, A., Bhattacherjee, A., Patra, A.K. and Chatterjee, S., (2021). A Comparison of Multiple Machine Learning Algorithms to Predict Whole-Body Vibration Exposure of Dumper Operators in Iron Ore Mines in India. International Journal of Statistics in Medical Research, 10, pp.169-182.

Garg, A., Maiti, J. and Kumar, A., (2022). Granulized Z‐OWA aggregation operator and its application in fuzzy risk assessment. International Journal of Intelligent Systems, 37(2), pp.1479-1508.

Das, S., Garg, A., Khorania, Y. and Maiti, J., (2022). Dual hesitant Z‐number (DHZN), correlated distance, and risk quantification. International Journal of Intelligent Systems, 37(1), pp.625-660.