Publications ( 193 )



Gupta, S., Maiti, J., & Kumar, A. (2025). Prognostic modeling of Li-ion battery using convolutional long short term memory (Convo-LSTM). International Journal of System Assurance Engineering and Management, 1-16.

Sahoo, S., & Maiti, J. (2025). Variance-Adjusted Cosine Distance as Similarity Metric. arXiv preprint arXiv:2502.02233.

Gupta, S., Kumar, A., & Maiti, J. (2024). A critical review on system architecture, techniques, trends and challenges in intelligent predictive maintenance. Safety Science, 177, 106590.

Prem, R., Tewari, V. K., Das, S., Maiti, J., Jayraj, P., & Pareek, C. M. (2024). Optimization of operating parameters of a drum-type feed metering unit developed for a human-powered floating fish feeder. Discover Agriculture, 2(1), 34.

Kakde, S. T., Roychowdhury, S., Bhosale, A. T., & Maiti, J. (2024). CPAN chart: A Novel Customer Perception Analysis System Using Natural Language Processing and Attribute Control Charting. IEEE Transactions on Engineering Management.

Das, S., Khanwelkar, D. R., & Maiti, J. (2024). A semi-automated coding scheme for occupational injury data: An approach using Bayesian decision support system. Expert Systems with Applications, 237, 121610.

Tewari, R. C., Routray, A., & Maiti, J. (2024). State-of-the-art radar technology for remote human fall detection: a systematic review of techniques, trends, and challenges. Multimedia Tools and Applications, 83(29), 73717-73775.

Das, S., & Maiti, J. (2024). Assessment of cognitive workload based on information theory enabled eye metrics. Safety Science, 176, 106567.

Sahoo, S., Mukane, P., Maiti, J., & Tewari, V. K. (2024). A framework for process risk assessment incorporating prior hazard information in text mining models using chunking. Process Safety and Environmental Protection, 189, 486-504.

Sahoo, S., Maiti, J., & Tewari, V. K. (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.

Verma, A., Dhalmahapatra, K., & Maiti, J. (2023). Forecasting occupational safety performance and mining text-based association rules for incident occurrences. Safety science, 159, 106014.

Sarkar, S., Pramanik, A., & Maiti, J. (2023). An integrated approach using rough set theory, ANFIS, and Z-number in occupational risk prediction. Engineering applications of artificial intelligence, 117, 105515.

Tewari, R. C., Sharma, S., Routray, A., & Maiti, J. (2023). Effective fall detection and post-fall breath rate tracking using a low-cost CW Doppler radar sensor. Computers in biology and medicine, 164, 107315.

Paltrinieri, N., Maiti, J., Stefana, E., & Patriarca, R. (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.

Gupta, A. K., Pardheev, C. G. V. S., Choudhuri, S., Das, S., Garg, A., & Maiti, J. (2022). A novel classification approach based on context connotative network (CCNet): A case of construction site accidents. Expert Systems with Applications, 202, 117281.

Sarkar, S., Vinay, S., Djeddi, C., & Maiti, J. (2022). Classification and pattern extraction of incidents: A deep learning-based approach. Neural Computing and Applications, 34(17), 14253-14274.

Misra, S., Roy, C., Sauter, T., Mukherjee, A., & Maiti, J. (2022). Industrial Internet of Things for safety management applications: A survey. IEEE Access, 10, 83415-83439.

Sarkar, S., Ejaz, N., Maiti, J., & Pramanik, A. (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.

Dhalmahapatra, K., Garg, A., Singh, K., Xavier, N. F., & Maiti, J. (2022). An integrated RFUCOM–RTOPSIS approach for failure modes and effects analysis: A case of manufacturing industry. Reliability Engineering & System Safety, 221, 108333.

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

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

Dhalmahapatra, K., Verma, A., & Maiti, J. (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.

Pramanik, A., Pal, S. K., Maiti, J., & Mitra, P. (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.

Singh, K., Maiti, J., & Roychowdhury, S. (2022). A data-driven penalty-reward methodology for performance assessment of risk control systems. Journal of Loss Prevention in the Process Industries, 77, 104756.

Roy, C., Misra, S., Maiti, J., & Nait-Abdesselam, F. (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.

Roy, C., Misra, S., & Maiti, J. (2022). D2C: Dynamic decision caching mechanism for provisioning safety-as-a-service in road transportation. IEEE Systems Journal, 16(2), 3331-3338.

Dhalmahapatra, K., Das, S., & Maiti, J. (2022). On accident causation models, safety training and virtual reality. International journal of occupational safety and ergonomics, 28(1), 28-44.

Pramanik, A., Sarkar, S., Maiti, J., & Mitra, P. (2021). Rt-gsom: rough tolerance growing self-organizing map. Information Sciences, 566, 19-37.

Roy, C., Chowdhury, C. R., Misra, S., & Maiti, J. (2021). DQ-Map: Dynamic decision query mapping for provisioning safety-as-a-service in IoT. IEEE Internet of Things Journal, 9(4), 3150-3157.

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

Pramanik, A., Pal, S. K., Maiti, J., & Mitra, P. (2021). Granulated RCNN and multi-class deep sort for multi-object detection and tracking. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(1), 171-181.

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

Chakraborty, A., Misra, S., & Maiti, J. (2021). Mobility-aware controller orchestration in multi-tier service-oriented architecture for IoT. IEEE Transactions on Vehicular Technology, 71(2), 1820-1831.

Pal, S. K., Pramanik, A., Maiti, J., & Mitra, P. (2021). Deep learning in multi-object detection and tracking: state of the art. Applied Intelligence, 51, 6400-6429.

Roy, C., Misra, S., Maiti, J., & 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), 9320-9329.

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

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, 103, 107148.

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.

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.

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.

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, 15(4), 1954-1966.

Boustras, G., Grote, G., Reniers, G., Maiti, J., Cozzani, V., Jain, A., ... & Kenneth Arne, P. G. (2020). Safety science new scope. Safety Science, 121, 651-651.

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.

Garg, A., Das, S., Maiti, J., & Pal, S. K. (2020). Granulized Z-VIKOR model for failure mode and effect analysis. IEEE Transactions on Fuzzy Systems, 30(2), 297-309.

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.

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.

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.

Saha, M., Jha, J. K., & Maiti, J. (2020). Modelling management response and online reviews for improved financial performance of hospitals. JBI Evidence Implementation, 18(1), 138-154.

Sarkar, S., Raj, R., Vinay, S., Maiti, J., & Pratihar, D. K. (2019). An optimization-based decision tree approach for predicting slip-trip-fall accidents at work. Safety Science, 118, 57-69.

Sarkar, S., Vinay, S., Raj, R., Maiti, J., & Mitra, P. (2019). Application of optimized machine learning techniques for prediction of occupational accidents. Computers & Operations Research, 106, 210-224.

Singh, K., Maiti, J., & Dhalmahapatra, K. (2019). Chain of events model for safety management: Data analytics approach. Safety Science, 118, 568-582.

Dhalmahapatra, K., Shingade, R., Mahajan, H., Verma, A., & Maiti, J. (2019). Decision support system for safety improvement: An approach using multiple correspondence analysis, t-SNE algorithm and K-means clustering. Computers & Industrial Engineering, 128, 277-289.

Shafiee, M., Labib, A., Maiti, J., & Starr, A. (2017). Maintenance strategy selection for multi-component systems using a combined analytic network process and cost-risk criticality model. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability.

Das, S., Garg, A., Pal, S., & Maiti, J. (2019). A Weighted Similarity Measure Between Z-numbers and Bow-Tie Quantification. IEEE Transactions on Fuzzy Systems.

Verma, A., & Maiti, J. (2018). Text-document clustering-based cause and effect analysis methodology for steel plant incident data. International Journal of Injury Control and Safety Promotion, 1-11.

KUMAR, P., Maiti, J., & Gunasekaran, A. (2018). Impact of Quality Management systems on firm performance. International Journal of Quality & Reliability Management, (just-accepted), 00-00.

Roy, C., Roy, A., Misra, S., & Maiti, J. (2018). Safe-aaS: Decision Virtualization for Effecting Safety-as-a-Service. IEEE Internet of Things Journal.

Kumar, P., & Maiti, J. (2018). Productivity changes in Indian steel plants: DEA approach. International Journal of Quality & Reliability Management, 35(5), 1093-1114.

Mhatre, T. N., Thakkar, J., & Maiti, J. (2017). Modelling critical risk factors for Indian construction project using interpretive ranking process (IRP) and system dynamics (SD). International Journal of Quality & Reliability Management, 34(9), 1451-1473.

Gautam, S., Maiti, J., Syamsundar, A., & Sarkar, S. (2017). Segmented point process models for work system safety analysis. Safety Science, 95, 15-27.

Singh, K., Raj, N., Sahu, S. K., Behera, R. K., Sarkar, S., & Maiti, J. (2017). Modelling safety of gantry crane operations using Petri nets. International journal of injury control and safety promotion, 24(1), 32-43.

Ghosh, C., Maiti, J., Shafiee, M., & Kumaraswamy, K. G. (2017). Reduction of Life cycle costs for a contemporary helicopter through improvement of reliability and maintainability parameters. International Journal of Quality & Reliability Management, (just-accepted), 00-00.

Verma, A., Maiti, J., & Gaikwad, V. N. (2017). A preliminary analysis of incident investigation reports of an integrated steel plant: some reflection. International journal of injury control and safety promotion, 1-15.

Basha, S. A., & Maiti, J. (2017). Assessment of work compatibility across employees’ demographics: a case study. International journal of injury control and safety promotion, 24(1), 106-119.

Mondal, S. C., Maiti, J., Ray, P. K., & Shafiee, M. (2016). Modelling process robustness: a case study of centrifugal casting. Production Planning & Control, 27(3), 169-182.

Krishna, O. B., Maiti, J., Ray, P. K., Samanta, B., Mandal, S., & Sarkar, S. (2015). Measurement and modeling of job stress of electric overhead traveling crane operators. Safety and health at work, 6(4), 279-288.

Singh, A. K., & Garg, A. (2015). Impact of information integration on decision-making in a supply chain network. Production planning & control, 26(12), 994-1010.

Tripathi, B., Rajesh, R., & Maiti, J. (2015). Ergonomic Evaluation of Billet Mould Maintenance Using Hierarchical Task Analysis, Biomechanical Modeling and Digital Human Modeling. Computer-Aided Design and Applications, 12(3), 256-269.

Mandal, S., Singh, K., Behera, R. K., Sahu, S. K., Raj, N., & Maiti, J. (2015). Human error identification and risk prioritization in overhead crane operations using HTA, SHERPA and fuzzy VIKOR method. Expert Systems with Applications, 42(20), 7195-7206.

Krishna, O. B., Maiti, J., Ray, P. K., & Mandal, S. (2015). Assessment of risk of musculoskeletal disorders among crane operators in a steel plant: A data mining–based Analysis. Human Factors and Ergonomics in Manufacturing & Service Industries, 25(5), 559-572.

Das, A., Mondal, S. C., Thakkar, J. J., & Maiti, J. (2015). A methodology for modeling and monitoring of centrifugal casting process. International Journal of Quality & Reliability Management, 32(7), 718-735.

Verma, A., Khan, S. D., Maiti, J., & Krishna, O. B. (2014). Identifying patterns of safety related incidents in a steel plant using association rule mining of incident investigation reports. Safety science, 70, 89-98.

Maiti, J., Singh, A. K., Mandal, S., & Verma, A. (2014). Mining safety rules for derailments in a steel plant using correspondence analysis. Safety Science, 68, 24-33.

Mandal, S., & Maiti, J. (2014). Risk analysis using FMEA: Fuzzy similarity value and possibility theory based approach. Expert Systems with Applications, 41(7), 3527-3537.

Ghosh, S., & Maiti, J. (2014). Data mining driven DMAIC framework for improving foundry quality–a case study. Production Planning & Control, 25(6), 478-493.

Raghunathan, R., Maiti, J., & Samanta, B. (2014). Application of the Cube Model for Biomechanical Exposure Assessment of Combined Manual Material Handling Tasks in a Manufacturing Plant in India. IIE Transactions on Occupational Ergonomics and Human Factors, 2(1), 39-51.

Mondal, S. C., Ray, P. K., & Maiti, J. (2014). Modelling robustness for manufacturing processes: a critical review. International Journal of Production Research, 52(2), 521-538.

Basha, S. A., & Maiti, J. (2013). Relationships of demographic factors, job risk perception and work injury in a steel plant in India. Safety science, 51(1), 374-381.

Aravindan, S., & Maiti, J. (2013). A framework for inegrated analysis of quality defects in supply chain. Quality control and applied statistics, 58(4), 341-342.

Mondal, S. C., Maiti, J., & Ray, P. K. (2013). Modelling robustness in serial multi-stage manufacturing processes. International Journal of Production Research, 51(21), 6359-6377.

Ranjan, C., & Maiti, J. (2013). An Approach to Build Processâ€Oriented Basis for Causationâ€Based Multivariate SPC and Process Capability Analysis. Quality and Reliability Engineering International, 29(8), 1221-1234.

Arunraj, N. S., Mandal, S., & Maiti, J. (2013). Modeling uncertainty in risk assessment: An integrated approach with fuzzy set theory and Monte Carlo simulation. Accident Analysis & Prevention, 55, 242-255.

Kumar, G., & Maiti, J. (2012). Modeling risk based maintenance using fuzzy analytic network process. Expert Systems with Applications, 39(11), 9946-9954

Maiti, J. (2012). Design for worksystem safety using employees’ perception about safety. Work, 41(Supplement 1), 3117-3122.

Das, A., Maiti, J., & Banerjee, R. N. (2012). Process monitoring and fault detection strategies: a review. International Journal of Quality & Reliability Management, 29(7), 720-752.

Khanzode, V. V., Maiti, J., & Ray, P. K. (2012). Occupational injury and accident research: A comprehensive review. Safety Science, 50(5), 1355-1367.

Karmakar, S., & Maiti, J. (2012). A review on dimensional tolerance synthesis: paradigm shift from product to process. Assembly Automation, 32(4), 373-388.

Singh, R., Singh, A. K., Maiti, J., Mandal, P. K., Singh, R., & Kumar, R. (2011). An observational approach for assessment of dynamic loading during underground coal pillar extraction. International Journal of Rock Mechanics and Mining Sciences, 48(5), 794-804.

Singh, A. K., Singh, R., Maiti, J., Kumar, R., & Mandal, P. K. (2011). Assessment of mining induced stress development over coal pillars during depillaring. International Journal of Rock Mechanics and Mining Sciences, 48(5), 805-818.

Khanzode, V. V., Maiti, J., & Ray, P. K. (2011). A methodology for evaluation and monitoring of recurring hazards in underground coal mining. Safety science, 49(8), 1172-1179.

Khanzode, V. V., Maiti, J., & Ray, P. K. (2011). Injury count model for quantification of risk of occupational injury. International journal of injury control and safety promotion, 18(2), 151-162.

Maiti, J. (2010). Development of worksystem safety capability index (WSCI). Safety science, 48(10), 1369-1379.

Pal, A., & Maiti, J. (2010). Development of a hybrid methodology for dimensionality reduction in Mahalanobis–Taguchi system using Mahalanobis distance and binary particle swarm optimization. Expert Systems with Applications, 37(2), 1286-1293.

Mondal, S. C., Maiti, J., & Ray, P. K. (2010). Development of a measurement metric for manufacturing process robustness. International Journal of Productivity and Quality Management, 6(2), 156-181.

Das, A., Maiti, J., & Banerjee, R. N. (2010). A hierarchical process monitoring strategy for a serial multi-stage manufacturing system. International Journal of Production Research, 48(8), 2459-2479.

Das, A., Maiti, J., & Banerjee, R. N. (2010). Process control strategies for a steel making furnace using ANN with bayesian regularization and ANFIS. Expert Systems with Applications, 37(2), 1075-1085.

Khanzode, V. V., Maiti, J., Ray, P. K., & Tewari, V. K. (2010). Injury severity assessment for underground coalmine workers. Applied ergonomics, 41(2), 242-250.

Arunraj, N. S., & Maiti, J. (2010). Risk-based maintenance policy selection using AHP and goal programming. Safety science, 48(2), 238-247.

Gupta, S., Maiti, J., Kumar, R., & Kumar, U. (2009). A control chart guided maintenance policy selection. International Journal of Mining, Reclamation and Environment, 23(3), 216-226.

Maiti, J., & Khanzode, V. V. (2009). Development of a relative risk model for roof and side fall fatal accidents in underground coal mines in India. Safety science, 47(8), 1068-1076.

Maiti, J., Khanzode, V. V., & Ray, P. K. (2009). Severity analysis of Indian coal mine accidents–a retrospective study for 100 years. Safety science, 47(7), 1033-1042.

Arunraj, N. S., & Maiti, J. (2009). A methodology for overall consequence modeling in chemical industry. Journal of hazardous materials, 169(1), 556-574.

Arunraj, N. S., & Maiti, J. (2009). Development of environmental consequence index (ECI) using fuzzy composite programming. Journal of hazardous materials, 162(1), 29-43.

Arunraj, N. S., & Maiti, J. (2009). Environmental risk management and decision making. International Journal of Environmental Pollution Control and Management, 1, 25-40.

Paul, P. S., & Maiti, J. (2008). The synergic role of sociotechnical and personal characteristics on work injuries in mines. Ergonomics, 51(5), 737-767.

Mandal, P. K., Singh, R., Maiti, J., Singh, A. K., Kumar, R., & Sinha, A. (2008). Underpinning-based simultaneous extraction of contiguous sections of a thick coal seam under weak and laminated parting. International Journal of Rock Mechanics and Mining Sciences, 45(1), 11-28.

Singh, R., Mandal, P. K., Singh, A. K., Kumar, R., Maiti, J., & Ghosh, A. K. (2008). Upshot of strata movement during underground mining of a thick coal seam below hilly terrain. International Journal of Rock Mechanics and Mining Sciences, 45(1), 29-46.

Ananda, N., & Maiti, J. (2008). Risk-based maintenance of gas expansion turbines in steel plant. International Journal of Risk Assessment and Management, 10(1-2), 147-159.

Das, A., Maiti, J., & Banerjee, R. N. (2008). Process monitoring strategy for a steel making shop: a partial least squares regression-based approach. International Journal of Productivity and Quality Management, 3(3), 340-359.

Khanzode, V. V., & Maiti, J. (2008). Implementing Mahalanobis-Taguchi system to improve casting quality in grey iron foundry. International Journal of Productivity and Quality Management, 3(4), 444-456.

Paul, P. S., & Maiti, J. (2007). The role of behavioral factors on safety management in underground mines. Safety Science, 45(4), 449-471.

Khanzode, V. V., & Maiti, J. (2007). Improving foundry process control: an investigation of cluster analysis and path model. International Journal of Productivity and Quality Management, 2(4), 404-422.

Arunraj, N. S., & Maiti, J. (2007). Risk-based maintenance—Techniques and applications. Journal of hazardous materials, 142(3), 653-661.

Paul, P. S., Maiti, J., Dasgupta, S., & Forjuoh, S. N. (2005). An epidemiological study of injury in mines: implications for safety promotion. International journal of injury control and safety promotion, 12(3), 157-165.

Maiti, J. M., Dasgupta, S., & Paul, P. S. (2005). Behavioural Safety Analysis of the Mine Workers–A Case Study. Mining, Geological and Metallurgical Institute (India) Transactions, 101, 49-59.

Paul, P. S., & Maiti, J. (2005). Development and test of a sociotechnical model for accident/injury occurrences in underground coalmines. Journal of the South African Institute of Mining and Metallurgy, 105(1), 43-53.

Maiti, J., Chatterjee, S., & Bangdiwala, S. I. (2004). Determinants of work injuries in mines–an application of structural equation modelling. Injury control and safety promotion, 11(1), 29-37.

Maiti, J. (2003). Development of risk indices for underground coal mine workers in India. Mining Technology, 112(2), 119-124.

MAITI, J. (2002). A systems approach to evaluate risk of accidents/injuries in mines. Journal of mines, metals and fuels, 50(6), 199-201.

Mandal, P. K., Singh, A. K., Singh, R., & Maiti, J. (2002). CONTINUOUS MONITORING OF STRATA BEHAVIOUR DURING DEPILLARING OPERATION IN INDIA. Mineral industry: issues on economics, environment, and technology, 120.

Maiti, J., Bhattacherjee, A., & Bangdiwala, S. I. (2001). Loglinear model for analysis of cross-tabulated coal mine injury data. Injury control and safety promotion, 8(4), 229-236.

Maiti, J., & Bhattacherjee, A. (2001). Predicting accident susceptibility: a logistic regression analysis of underground coal mine workers. JOURNAL-SOUTH AFRICAN INSTITUTE OF MINING AND METALLURGY, 101(4), 203-208.

Maiti, J., & Bhattacherjee, A. (2000). A causal model for evaluation of mine safety. Mining Technology, 109(1), 55-59.

Bhattacherjee, A., & Maiti, J. (2000). New look into quantitative analysis of mine safety studies. TRANSACTIONS-SOCIETY FOR MINING METALLURGY AND EXPLORATION INCORPORATED, 308, 83-90.

Maiti, J., & Bhattacherjee, A. (1999). Evaluation of risk of occupational injuries among underground coal mine workers through multinomial logit analysis. Journal of Safety Research, 30(2), 93-101.

Maiti, J., Bhattacherjee, A., Gupta, U. C., & Ray, S. C. (1999). An application of logit model to injury experience data. Mineral Resources Engineering, 8(02), 239-252.

Tewari, R. C., Palo, P., Routray, A., & Maiti, J. (2023, September). A novel graph neural network based approach for human activity recognition. In 2023 31st European Signal Processing Conference (EUSIPCO)

Sarker, B., Gupta, S., Singh, G., Kumar, P., & Maiti, J. (2023, October). Explainable AI-Driven Machine Learning Approach for Prediction of Acoustic-Based Fire Extinction. In 2023 4th International Conference on Data Analytics for Business and Industry (ICDABI) (pp. 379-385). IEEE.

Gupta, S., Maiti, J., & Kumar, A. (2023, October). An Optimized Machine Learning Technique for Fault Diagnosis of Roller Bearing in a Motor Drive System. In 2023 4th International Conference on Data Analytics for Business and Industry (ICDABI) (pp. 616-622). IEEE.

Sahoo, S., Mukane, P., Gupta, R., Maiti, J., & Tewari, V. K. (2023, October). Identification of Risk Control Systems using anchor-words based Correlation Explanation (CorEx) model. In 2023 4th International Conference on Data Analytics for Business and Industry (ICDABI) (pp. 195-200). IEEE.

Tewari, R. C., Routray, A., & Maiti, J. (2023, December). Enhanced robustness in low-cost Doppler radar based fall detection system via Kalman filter tracking and transition activity analysis. In 2023 IEEE 20th India Council International Conference (INDICON) (pp. 1446-1451). IEEE.

Tewari, R. C., Palo, P., Maiti, J., & Routray, A. (2022, October). Gan-based radar micro-doppler augmentation for high accuracy fall detection system. In IECON 2022–48th Annual Conference of the IEEE Industrial Electronics Society (pp. 1-6). IEEE.

Garg, A., Das, S., Dubey, S. K., & Maiti, J. (2022, October). Z-number based Improved Sustainability Index for the Selection of Suitable Suppliers. In 2022 International Conference on Data Analytics for Business and Industry (ICDABI) (pp. 397-401). IEEE.

Sahoo, S., & Maiti, J. (2022, October). Identification of Accident Path Elements using Supervised Learning: Observation of Diminishing Marginal Accuracy while using Cosine Similarity. In 2022 International Conference on Data Analytics for Business and Industry (ICDABI) (pp. 135-139). IEEE.

Kumar, P., Pradhan, S., Das, S., Garg, A., & Maiti, J. (2022, October). A system thinking approach for evacuation during fire incidents considering systems dynamics. In 2022 International Conference on Data Analytics for Business and Industry (ICDABI) (pp. 376-380). IEEE.

Bagchi, G. K., Das, S., Garg, A., & Maiti, J. (2022, October). A safety function deployment model for improvement in safety related decision making: A case of transportation system. In 2022 International Conference on Data Analytics for Business and Industry (ICDABI) (pp. 371-375). IEEE.

Saha, S., Das, M., Mondal, B. S., Sarkar, S., & Maiti, J. (2021, October). D i PSVM: A polynomial kernel-free support vector machine. In 2021 international conference on data analytics for business and industry (ICDABI) (pp. 448-452). IEEE.

Pradhan, S., Kumar, S., Sarkar, S., & Maiti, J. (2021, October). A kernel-free support vector machine with Q-margin. In 2021 International Conference on Data Analytics for Business and Industry (ICDABI) (pp. 443-447). IEEE.

Das, S., Roychowdhury, S., & Maiti, J. (2021, December). Risk assessment in the calibration of medical equipment. In 2021 International Conference on Maintenance and Intelligent Asset Management (ICMIAM) (pp. 1-6). IEEE

Pramanik, A., Djeddi, C., Sarkar, S., & Maiti, J. (2020, October). Region proposal and object detection using hog-based cnn feature map. In 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI) (pp. 1-5). IEEE.

Dhalmahapatra, K., Singh, K., Jain, Y., & Maiti, J. (2019). Exploring Causes of Crane Accidents from Incident Reports Using Decision Tree. In Information and Communication Technology for Intelligent Systems (pp. 175-183). Springer, Singapore.

Sarkar, S., Ejaz, N., & Maiti, J. (2018, March). Application of hybrid clustering technique for pattern extraction of accident at work: A case study of a steel industry. In 2018 4th International Conference on Recent Advances in Information Technology (RAIT) (pp. 1-6). IEEE.

Sarkar, S., Maiti, J., Nayak, S., & Chain, S. (2018, May). Data-driven Decision Support System for Prediction of Occupational Accidents. In IISE 2018. Orlando, Florida, USA.

Das, S., Dhalmahapatra, K., Maroo, P., & Maiti, J. (2018, March). A self-tuning neuromorphic controller to minimize swing angle for overhead cranes. In 2018 4th International Conference on Recent Advances in Information Technology (RAIT) (pp. 1-6). IEEE.

Dhalmahapatra, K., Pradhan, O., Das, S., Singh, K., & Maiti, J. (2018, March). Prioritization of human errors in EOT crane operations and its visualisation using virtual simulation. In 2018 4th International Conference on Recent Advances in Information Technology (RAIT) (pp. 1-6). IEEE.

Pramanik, A., Gorai, A., Sarkar, S., & Gupta, P. (2018, December). A Novel Feature Extraction-based Human Identification Approach using 2D Ear Biometric. In 2018 IEEE Applied Signal Processing Conference (ASPCON) (pp. 168-172). IEEE.

Sarkar, S., Baidya, S., & Maiti, J. (2017, Nov).Application of rough set theory in accident analysis at work: A case study. In In Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), 2017 (pp. 245-250). RCCIIT, Kolkata, IEEE.

Sarkar, S., Kumar, A., Mohanpuria, S. K., & Maiti, J. (2017, Nov). Application of Bayesian network model in explaining occupational accidents in a steel industry. In In Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), 2017 (pp. 337-342). RCCIIT, Kolkata, IEEE.

Sarkar, S., Pateshwari, V., & Maiti, J. (2017, July). Predictive model for incident occurrences in steel plant in India. In 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1-5). IEEE.

Sarkar, S., Vinay, S., Pateshwari, V., & Maiti, J. (2016, December). Study of optimized SVM for incident prediction of a steel plant in India. In India Conference (INDICON), IEEE Annual (pp. 1-6). IEEE.

Sarkar, S., Patel, A., Madaan, S., & Maiti, J. (2016, December). Prediction of occupational accidents using decision tree approach. In India Conference (INDICON), 2016 IEEE Annual (pp. 1-6). IEEE.

Maiti, J., Sarkar, S., Pardhu, S., Ayi, R. (2016, November). Proactive Data: A Rich Source of Occupational Accident Prediction (Abstract only). In INFORMS 2016 annual meeting at Nashville, USA.

Sarkar, S., Lakha, V., Ansari, I. Maiti, J. (2016, November). Text Mining Based Prediction Model for Incident Occurrences in Steel Plant (Abstract only). In INFORMS 2016 annual meeting at Nashville, USA.

Sarkar, S., Vinay, S., & Maiti, J. (2016, March). Text mining based safety risk assessment and prediction of occupational accidents in a steel plant. In Computational Techniques in Information and Communication Technologies (ICCTICT), 2016 International Conference on (pp. 439-444). IEEE.

Verma, A., Rajput, D., & Maiti, J. (2016, November). Prioritization of Near-Miss Incidents Using Text Mining and Bayesian Network. In International Conference on Advances in Computing and Data Sciences (pp. 183-191). Springer.

Karmakar, S., & Maiti, J. (2016, March). A Bayesian LASSO Algorithm for Simultaneous Variation Fault Diagnosis in Ill Conditioned Multistage Manufacturing Processes.

Raghunathan, R., & Maiti, J. (2015). Ergonomic Assessment of Manual Material Handling Tasks in a Manufacturing System.

Mondal, S. C., Maiti, J., & Ray, P. K. (2010). Process capability analysis of a centrifugal casting process. In Proceedings of the 2010 International Conference on Industrial Engineering and Operations Management (IEOM (Vol. 276, pp. 9-10).

Ray, P. K., Maiti, J., & Chottopadhyay, G. (2007). Six-sigma methodology for maintenance performance improvement.

Das, S., Karanam, R. C., Krishna, O. B., & Maiti, J. (2023). Machine Learning and Data Analysis Based Breast Cancer Classification. In Machine Learning Algorithms and Applications in Engineering (pp. 117-129). CRC Press.

Gupta, S., Vasu, K., Maiti, J., & Kumar, A. (2023, December). Health States Estimation and Prediction of Failure Occurrence Time of Rolling Element Bearing Using Hidden Markov Model. In Machine Intelligence and Digital Interaction Conference (pp. 302-315). Cham: Springer Nature Switzerland.

Sai, N. D., Sarker, B., Garg, A., & Maiti, J. (2023, January). A Comparative Study of Distance-Based Clustering Algorithms in Fuzzy Failure Modes and Effects Analysis. In International Conference on Data Management, Analytics & Innovation (pp. 605-624). Singapore: Springer Nature Singapore.

Das, S., Das, J., Krishna, O. B., & Maiti, J. (2022). Image Processing-Based Fire Detection Using IoT Devices. In Machine Vision for Industry 4.0 (pp. 207-224). CRC Press.

Tandu, C., Kosuri, M., Sarkar, S., & Maiti, J. (2022, March). A two-fold multi-objective multi-verse optimization-based time series forecasting. In Proceedings of the Seventh International Conference on Mathematics and Computing: ICMC 2021 (pp. 743-754). Singapore: Springer Singapore.

Das, S., Prudhvi, K., & Maiti, J. (2022). Assessing mental workload using eye tracking technology and deep learning models. Handbook of intelligent computing and optimization for sustainable development, 1-11.

Rao, A., Sarkar, S., Pramanik, A., & Maiti, J. (2022, March). Predicting and Analysing Pedestrian Injury Severity: A Machine Learning-Based Approach. In Proceedings of the Seventh International Conference on Mathematics and Computing: ICMC 2021 (pp. 485-497). Singapore: Springer Singapore.

Kosuri, M., Tandu, C., Sarkar, S., & Maiti, J. (2022, March). Multivariate Deep Learning Model with Ensemble Pruning for Time Series Forecasting. In Proceedings of the Seventh International Conference on Mathematics and Computing: ICMC 2021 (pp. 321-334). Singapore: Springer Singapore.

Das, S., Sarkar, A., Krishna, O. B., & Maiti, J. (2022). IoT-Based Laser Trip Wire System for Safety and Security in Industries. In Internet of Things (pp. 61-70). CRC Press.

Maity, S., Rastogi, A., Djeddi, C., & Sarkar, S. (2022, April). A Novel Optimized Method for Feature Selection Using Non-linear Kernel-Free Twin Quadratic Surface Support Vector. In Pattern Recognition and Artificial Intelligence: 5th Mediterranean Conference, MedPRAI 2021, Istanbul, Turkey, December 17–18, 2021, Proceedings (p. 339). Springer Nature.

Das, S., Anwar, S., & Maiti, J. (2021). Saccadic Scan Path Predicting Using Convolutional Auto Encoders. In Internet of Things (pp. 85-99). CRC Press.

Pramanik, A., Sarkar, S., Sai Siddharth, V., Maiti, J., & Mitra, P. (2021). Semi-automated ontology creation and upgradation for rail-road incidents: a case of a steel plant in India. In Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2020, Volume 3 (pp. 285-294). Springer Singapore.

Pramanik, A., Sarkar, S., Djeddi, C., & Maiti, J. (2021, December). Real-time detection of traffic anomalies near roundabouts. In Mediterranean Conference on Pattern Recognition and Artificial Intelligence (pp. 253-264). Cham: Springer International Publishing

Pramanik, A., Nande, V., Pradhan, A. S., Sarkar, S., & Maiti, J. (2021). Dynamic functional bandwidth kernel-based svm: An efficient approach for functional data analysis. In Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2020, Volume 1 (pp. 673-681). Springer Singapore.

Sarkar, S., Gaine, S., Deshmukh, A., Khatedi, N., & Maiti, J. (2020). A Structural Topic Modeling-Based Machine Learning Approach for Pattern Extraction from Accident Data. In Data Engineering and Communication Technology (pp. 555-564). Springer, Singapore.

Sarkar, S., Khatedi, N., Pramanik, A., & Maiti, J. (2020). An Ensemble Learning-Based Undersampling Technique for Handling Class-Imbalance Problem. In Proceedings of ICETIT 2019 (pp. 586-595). Springer, Cham.

Sarkar, S., Ejaz, N., Promod, C. S., & Maiti, J. (2020). Pattern Extraction Using Proactive and Reactive Data: A Case Study of Contractors’ Safety in a Steel Plant. In Proceedings of ICETIT 2019 (pp. 731-742). Springer, Cham.

Ghosh, S., Mondal, A., Singh, K., Maiti, J., & Mitra, P. (2020). Potential threat detection from industrial accident reports using text mining. In Intelligent Computing and Communication: Proceedings of 3rd ICICC 2019, Bangalore 3 (pp. 109-123). Springer Singapore.

Sarkar, S., Ejaz, N., Kumar, M., & Maiti, J. (2020). Root Cause Analysis of Incidents Using Text Clustering and Classification Algorithms. In Proceedings of ICETIT 2019 (pp. 707-718). Springer, Cham.

Sarkar, S., Vinay, S., Djeddi, C., & Maiti, J. (2020, December). Text mining-based association rule mining for incident analysis: a case study of a steel plant in India. In Mediterranean Conference on Pattern Recognition and Artificial Intelligence (pp. 257-273). Cham: Springer International Publishing.

Sarkar, S., Pramanik, A., Khatedi, N., & Maiti, J. (2020). An investigation of the effects of missing data handling using ‘r’-packages. In Data Engineering and Communication Technology: Proceedings of 3rd ICDECT-2K19 (pp. 275-284). Springer Singapore.

Sarkar, S., Pramanik, A., Khatedi, N., Balu, A. S. M., & Maiti, J. (2020). Gsel: A genetic stacking-based ensemble learning approach for incident classification. In Proceedings of ICETIT 2019: Emerging Trends in Information Technology (pp. 719-730). Springer International Publishing.

Singh, K., & Maiti, J. (2020). Mining frequent patterns with temporal effect: a case of accident path analysis. In Proceedings of ICETIT 2019: Emerging Trends in Information Technology (pp. 596-603). Springer International Publishing.

Pramanik, A., Sarkar, S., & Maiti, J. (2019). Oil Spill Detection Using Image Processing Technique: An Occupational Safety Perspective of a Steel Plant. In Emerging Technologies in Data Mining and Information Security (pp. 247-257). Springer, Singapore.

Sarkar, S., Chain, M., Nayak, S., & Maiti, J. (2019). Decision Support System for Prediction of Occupational Accident: A Case Study from a Steel Plant. In Emerging Technologies in Data Mining and Information Security (pp. 787-796). Springer, Singapore.

Verma, A., Chatterjee, S., Sarkar, S., & Maiti, J. (2018). Data-driven Mapping Between Proactive and Reactive Measures of Occupational Safety Performance. In Industrial Safety Management- 21st Century Perspective of Asia (pp. 53-63). Springer Singapore.

Sarkar, S., Verma, A., & Maiti, J. (2018). Prediction of Occupational Incidents Using Proactive and Reactive Data: A Data Mining Approach. In Industrial Safety Management (pp. 65-79). Springer.

Sarkar S., Lohani A., Maiti J. (2017). Genetic Algorithm-Based Association Rule Mining Approach Towards Rule Generation of Occupational Accidents. In Computational Intelligence, Communications, and Business Analytics. CICBA 2017. Communications in Computer and Information Science, vol 776. pp 517-530. Springer, Singapore.

Sarkar, S., Lakha, V., Ansari, I., & Maiti, J. (2017). Supplier Selection in Uncertain Environment: A Fuzzy MCDM Approach. In Proceedings of the First International Conference on Intelligent Computing and Communication (pp. 257-266). Springer Singapore.

Dhalmahapatra. K., Das., S., Kalbande., S., & Maiti, J. (2017). Virtual Prototype based Simulator for EOT Crane. In Industrial Safety Management- 21st Century Perspective of Asia (pp. 53-63). Springer Singapore.

Quick Links

Journal

Conference






Book Chapter