Smita Kulkarni

Employment

• MIT Academy of Engineering Associate Professor
  2008 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Application of Musa paradisiaca catalyst on synthesis of biodiesel and optimization of process parameters using random forest machine learning model
  Next Energy 2026 DOI: 10.1016/j.nxener.2026.101007
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• A Two-Stage Ensemble Approach for Diabetes Prediction: Early Diagnosis with CatBoost and Advanced Diagnosis with LightGBM
  Biomedical & Pharmacology Journal 2026 DOI: 10.13005/bpj/3449
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• Biodiesel synthesis from composite oil utilizing banana peel (Musa paradisiaca) derived catalyst and process parameter optimization using particle swarm method
  Journal of the Indian Chemical Society 2025 DOI: 10.1016/j.jics.2025.101664
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• Performance Analysis of Model Optimization Techniques using Pre-Trained CNN Models
  Proceedings of ICWITE 2024: IEEE International Conference for Women in Innovation, Technology and Entrepreneurship 2024 DOI: 10.1109/ICWITE59797.2024.10502848
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• AI-Based Health Management System
  Lecture Notes in Electrical Engineering 2023 DOI: 10.1007/978-981-19-6581-4_29
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• Automated Table Detection Using R-CNN: A Cloud-Based Approach
  2023 IEEE Pune Section International Conference, PuneCon 2023 2023 DOI: 10.1109/PuneCon58714.2023.10450066
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• Insight on Human Activity Recognition Using the Deep Learning Approach
  2023 International Conference on Emerging Smart Computing and Informatics, ESCI 2023 2023 DOI: 10.1109/ESCI56872.2023.10099759
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• Web Based Book Recommendation System Using Collaborative Filtering
  2023 International Conference on Emerging Smart Computing and Informatics, ESCI 2023 2023 DOI: 10.1109/ESCI56872.2023.10099750
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• Machine Learning Model for Group Activity Recognition Based on Discriminative Interaction Contextual Relationship
  Mathematical Problems in Engineering 2021 DOI: 10.1155/2021/5596312
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• A Discriminative Model for Multiple People Detection
  Lecture Notes in Electrical Engineering 2021 DOI: 10.1007/978-981-15-8391-9_35
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