Book Chapters (27)

Citations: 1490 h-index: 22 i10-index: 36

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2024 (6)

Srivastava, A., Sarkar, S., & Bose, I. (2024). Toward Early Parkinson's Disease Detection: A Novel RL-CNN Based Approach. In International Conference on Industrial Engineering & Analytics 2024 (ICONIEA 2024).- Accepted and presented.
Tulsyan, P., Ghosh, A., & Sarkar, S. (2024). Eye-tracking-based packaging analysis for toy industry using Bayesian belief networks and Evidential reasoning approach. In International Conference on Industrial Engineering & Analytics 2024 (ICONIEA 2024).- Accepted and presented.
Kumar, A., Amrita, & Sarkar, S. (2024). Social Media Sentiment Analysis of Impacts of COVID-19 on Mothers and Children. In International Conference on Industrial Engineering & Analytics 2024 (ICONIEA 2024).- Accepted and presented.
Varshney, A., Luharuka, I., Sarkar, S., & Bose, I. (2024). Alzheimer's Disease Detection using Gaussian-Based Bayesian Parameter Optimization-based Deep Convolution Neural Network. In International Conference on Industrial Engineering & Analytics 2024 (ICONIEA 2024).- Accepted and presented.
Luharuka, I., Varshney, A., Sarkar, S., & Bose, I. (2024). V-SVM: A VGG19-based Support Vector Machine for Early Detection of Parkinson's Disease. In International Conference on Safety, Health and Analytics-Driven Governance for Sustainable Development 2024 (SHADG 2024).- Accepted and presented.
Pandit, K., Bhattacharya, A., Sarkar, S., & Das, P. (2024). RoadGuard: An optimized framework to predict Road Accident Severity Outcomes through Human-environmental Interactions using K-nearest Neighbour with GNN. In International Conference on Safety, Health and Analytics-Driven Governance for Sustainable Development 2024 (SHADG 2024).- Accepted and presented.

2022 (5)

Pramanik, A., Sarkar, S., Djeddi, C., & Maiti, J. (2022). Real-Time Detection of Traffic Anomalies Near Roundabouts. In Mediterranean Conference on Pattern Recognition and Artificial Intelligence (pp. 253-264). Springer, Cham. (Link: Paper)
Maity, S., Rastogi, A., Djeddi, C., Sarkar, S., & Maiti, J. (2022). A Novel Optimized Method for Feature Selection Using Non-linear Kernel-Free Twin Quadratic Surface Support Vector Machine. In Mediterranean Conference on Pattern Recognition and Artificial Intelligence (pp. 339-353). Springer, Cham. (Link: Paper)
Kosuri, M., Tandu, C., Sarkar, S., & Maiti, J. (2022). Multivariate Deep Learning Model with Ensemble Pruning for Time Series Forecasting. In Proceedings of the Seventh International Conference on Mathematics and Computing (pp. 321-334). Springer, Singapore. (Link: Paper)
Rao, A., Sarkar, S., Pramanik, A., & Maiti, J. (2022). Predicting and Analysing Pedestrian Injury Severity: A Machine Learning-Based Approach. In Proceedings of the Seventh International Conference on Mathematics and Computing (pp. 485-497). Springer, Singapore. (Link: Paper)
Tandu, C., Kosuri, M., Sarkar, S., & Maiti, J. (2022). A Two-Fold Multi-objective Multi-verse Optimization-Based Time Series Forecasting. In Proceedings of the Seventh International Conference on Mathematics and Computing (pp. 743-754). Springer, Singapore. (Link: Paper)

2021 (4)

Pramanik, A., Sarkar, S., Siddharth, V.S., & Maiti, J. (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. 164, (pp. 285-294). Springer, Singapore. (Link: Paper)
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. Advances in Intelligent Systems and Computing. 1286, (pp. 673-681 ). Springer, Singapore. (Link: Paper)
Sarkar, S., Vinay, S., Djeddi, C., & Maiti, J. (2021). Text Mining-Based Association Rule Mining for Incident Analysis: A Case Study of a Steel Plant in India. Pattern Recognition and Artificial Intelligence, 1322, 257-273. (Link: Paper)
Mekhaznia, T., Djeddi, C., & Sarkar, S. (2021). Personality Traits Identification Through Handwriting Analysis. Pattern Recognition and Artificial Intelligence, 1322, 155-169. (Link: Paper)

2020 (6)

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 (pp. 275-284). Springer, Singapore. (Link: Paper)
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. (Link: Paper)
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. (Link: Paper)
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. (Link: Paper)
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 (pp. 719-730). Springer, Cham. (Link: Paper)
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. (Link: Paper)

2019 (2)

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. (Link: Paper)
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. (Link: Paper)

2018 (2)

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 (pp. 53-63). Springer, Singapore. (Link: Paper)
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, Singapore. (Link: Paper)

2017 (2)

Sarkar, S., Lohani, A., & Maiti, J. (2017). Genetic algorithm-based association rule mining approach towards rule generation of occupational accidents. In International Conference on Computational Intelligence, Communications, and Business Analytics (pp. 517-530). Springer, Singapore. (Link: Paper)
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. (Link: Paper)