S Das, J Maiti (2024). Assessment of cognitive workload based on information theory enabled eye metrics. Safety Science 176, 106567
S Sahoo, J Maiti, VK Tewari (2024) A framework to model contractors’ hazard and risk exposure at process plants using unsupervised text mining. Process Safety and Environmental Protection 183, 24-45
S Das, DR Khanwelkar, J Maiti (2024) A semi-automated coding scheme for occupational injury data: An approach using Bayesian decision support system. Expert Systems with Applications 237, 121610
A Verma, K Dhalmahapatra, J Maiti (2023). Forecasting occupational safety performance and mining text-based association rules for incident occurrences. Safety science 159, 106014
S Das, RC Karanam, OB Krishna, J Maiti (2023). Machine Learning and Data Analysis Based Breast Cancer Classification. Machine Learning Algorithms and Applications in Engineering, 117-129
N Paltrinieri, J Maiti, E Stefana, R Patriarca (2023). Editorial on Harmonising Occupational and Process Safety: a myth or a good safety management practice? Journal of Loss Prevention in the Process Industries 81, 104950
ND Sai, B Sarker, A Garg, J Maiti (2023). A Comparative Study of Distance-Based Clustering Algorithms in Fuzzy Failure Modes and Effects Analysis. International Conference on Data Management, Analytics & Innovation, 605-624
S Sarkar, A Pramanik, J Maiti (2023) An integrated approach using rough set theory, ANFIS, and Z-number in occupational risk prediction. Engineering Applications of Artificial Intelligence 117, 105515
S Sarkar, N Ejaz, J Maiti, A Pramanik (2022). An integrated approach using growing self-organizing map-based genetic K-means clustering and tolerance rough set in occupational risk analysis (vol 34, pg 9661, 2022). NEURAL COMPUTING & APPLICATIONS 34 (23), 21413-21413
P Kumar, S Pradhan, S Das, A Garg, J Maiti (2022). A system thinking approach for evacuation during fire incidents considering systems dynamics. 2022 International Conference on Data Analytics for Business and Industry (ICDABI)
GK Bagchi, S Das, A Garg, J Maiti (2022). A safety function deployment model for improvement in safety related decision making: A case of transportation system. 2022 International Conference on Data Analytics for Business and Industry (ICDABI)
S Sahoo, J Maiti (2022). Identification of Accident Path Elements using Supervised Learning: Observation of Diminishing Marginal Accuracy while using Cosine Similarity. 2022 International Conference on Data Analytics for Business and Industry (ICDABI)
A Garg, S Das, SK Dubey, J Maiti (2022). Z-number based Improved Sustainability Index for the Selection of Suitable Suppliers. 2022 International Conference on Data Analytics for Business and Industry (ICDABI)
J Maiti (2022). Multivariate Statistical Modeling in Engineering and Management. CRC Press
AK Gupta, CGVS Pardheev, S Choudhuri, S Das, A Garg, J Maiti (2022). A novel classification approach based on context connotative network (CCNet): A case of construction site accidents. Expert Systems with Applications 202, 117281
K Dhalmahapatra, A Verma, J Maiti (2022). An integrated TRIZ coupled safety function deployment and capital budgeting methodology for occupational safety improvement: A case of manufacturing industry. Process Safety and Environmental Protection 165, 31-45
S Sarkar, S Vinay, C Djeddi, J Maiti (2022). Classification and pattern extraction of incidents: A deep learning-based approach. Neural Computing and Applications 34 (17), 14253-14274
A Pramanik, SK Pal, J Maiti, P Mitra (2022). Traffic anomaly detection and video summarization using spatio-temporal rough fuzzy granulation with Z-numbers. IEEE Transactions on Intelligent Transportation Systems 23 (12), 24116-24125
S Misra, C Roy, T Sauter, A Mukherjee, J Maiti (2022). Industrial Internet of Things for safety management applications: A survey. IEEE Access 10, 83415-83439
K Singh, J Maiti, S Roychowdhury (2022). A data-driven penalty-reward methodology for performance assessment of risk control systems. Journal of Loss Prevention in the Process Industries 77, 104756
S Sarkar, N Ejaz, J Maiti, A Pramanik (2022). An integrated approach using growing self-organizing map-based genetic K-means clustering and tolerance rough set in occupational risk analysis. Neural computing and applications 34 (12), 9661-9687
C Roy, S Misra, J Maiti, F Nait-Abdesselam (2022). Diff-Price: differential pricing scheme for provisioning safety-as-a-service in vehicular IoT applications. IEEE Transactions on Vehicular Technology 71 (8), 8189-8198
K Dhalmahapatra, A Garg, K Singh, NF Xavier, J Maiti (2022). An integrated RFUCOM–RTOPSIS approach for failure modes and effects analysis: A case of manufacturing industry. Reliability Engineering & System Safety 221, 108333
S Das, J Das, OB Krishna, J Maiti (2022). Image Processing-Based Fire Detection Using IoT Devices. Machine Vision for Industry 4.0, 207-224
A Rao, S Sarkar, A Pramanik, J Maiti (2022). Predicting and Analysing Pedestrian Injury Severity: A Machine Learning-Based Approach. Proceedings of the Seventh International Conference on Mathematics and Computing: ICMC 2021
C Tandu, M Kosuri, S Sarkar, J Maiti (2022). A two-fold multi-objective multi-verse optimization-based time series forecasting. Proceedings of the Seventh International Conference on Mathematics and Computing: ICMC 2021
C Roy, S Misra, J Maiti (2022). D2C: Dynamic Decision Caching Mechanism for Provisioning Safety-as-a-Service in Road Transportation. IEEE Systems Journal 16 (2), 3331-3338
M Kosuri, C Tandu, S Sarkar, J Maiti (2022). Multivariate Deep Learning Model with Ensemble Pruning for Time Series Forecasting. Proceedings of the Seventh International Conference on Mathematics and Computing: ICMC 2021
S Das, K Prudhvi, J Maiti (2022). Assessing mental workload using eye tracking technology and deep learning models. Handbook of intelligent computing and optimization for sustainable development
K Dhalmahapatra, S Das, J Maiti (2022). On accident causation models, safety training and virtual reality. International journal of occupational safety and ergonomics 28 (1), 28-44
S Das, A Sarkar, OB Krishna, J Maiti (2022). IoT-Based Laser Trip Wire System for Safety and Security in Industries. Internet of Things, 61-70
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.
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
A comprehensive methodology for quantification of Bow-tie under type II fuzzy data
S Das, A Garg, J Maiti, OB Krishna, JJ Thakkar, RK Gangwar (2021). Applied Soft Computing 103, 107148 2 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 (2021) Semi-automated Ontology Creation and Upgradation for Rail-Road Incidents: A Case of a Steel Plant in India
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.
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.
