Femilda Josephin Joseph Shobana Bai

Akademik Profiller

1. 1
   Advanced machine learning techniques for predicting wear performance in graphene oxide particulate interpenetrating polymer network compositesEngineering Applications of Artificial Intelligence
   2025
2. 2
   A deep learning multi-feature based fusion model for predicting the state of health of lithium-ion batteriesEnergy
   2025
3. 3
   Early Prediction of the Remaining Useful Life of Lithium‐Ion Cells Using Ensemble and Non‐Ensemble AlgorithmsEnergy Storage
   2025
4. 4
   EnConv: enhanced CNN for leaf disease classificationJournal of Plant Diseases and Protection
   2025
5. 5
   A comparative analysis of advanced machine learning models for the prediction of combustion, emission and performance characteristics using endoscopic combustion flame image of a pine oil–gasoline fuelled spark ignition engineJournal of Cleaner Production
   2024
6. 6
   Comparative analysis of regression models to predict the performance of the dual fuel engine operating on diesel and hydrogen gasInternational Journal of Hydrogen Energy
   2024
7. 7
   Improved UNET Architecture for Effective COVID-19 Severity Prediction from Pulmonary CT Images2024 First International Conference on Innovations in Communications, Electrical and Computer Engineering (ICICEC)
   2024
8. 8
   Prediction, optimization, and validation of the combustion effects of diisopropyl ether-gasoline blends: A combined application of artificial neural network and response surface methodologyEnergy
   2024
9. 9
   Response surface methodology optimization of characteristics of biodiesel powered diesel engine and its effective integration to autonomous microgridProcess Safety and Environmental Protection
   2024
10. 10
    AO-SVM: a machine learning model for predicting water quality in the cauvery riverEnvironmental Research Communications
    2024

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