Using deep neural networks to diagnose engine pre-ignition N Kuzhagaliyeva, A Thabet, E Singh, B Ghanem, SM Sarathy Proceedings of the Combustion Institute 38 (4), 5915-5922, 2021 | 13 | 2021 |
Artificial intelligence-driven design of fuel mixtures N Kuzhagaliyeva, S Horváth, J Williams, A Nicolle, SM Sarathy Communications Chemistry 5 (1), 111, 2022 | 10 | 2022 |
Using deep learning to diagnose preignition in turbocharged spark-ignited engines E Singh, N Kuzhagaliyeva, SM Sarathy Artificial Intelligence and Data Driven Optimization of Internal Combustion …, 2022 | 10 | 2022 |
Uncertainty quantification of a deep learning fuel property prediction model KK Yalamanchi, S Kommalapati, P Pal, N Kuzhagaliyeva, AS AlRamadan, ... Applications in Energy and Combustion Science 16, 100211, 2023 | 2 | 2023 |
Mixtures Recomposition by Neural Nets: A Multidisciplinary Overview A Nicolle, S Deng, M Ihme, N Kuzhagaliyeva, EA Ibrahim, A Farooq Journal of Chemical Information and Modeling, 2024 | 1 | 2024 |
Predicting Vehicle Engine Performance: Assessment of Machine Learning Techniques and Data Imputation JCG Delgado, N Kuzhagaliyeva, I Gorbatenko, M Sarathy SAE Technical Paper, 2024 | | 2024 |
Artificial-intelligence driven design of liquid fuels. N Kuzhagaliyeva | | 2024 |
Uncertainty Quantification of a Deep Learning Based Fuel Property Prediction Model S Kommalapati, P Pal, N Kuzhagaliyeva, A AlRamadan, B Mohan, Y Pei, ... Bulletin of the American Physical Society 67, 2022 | | 2022 |
Detection of Pre-ignition Events using Deep Neural Networks N Kuzhagaliyeva | | 2019 |
Size and purity controlled synthesis of silver nanoparticles for mercury (II) ion extraction from aqueous solutions K Amangeldiuly, NA Kuzhagaliyeva, AV Korobeinyk, RLD Whitby 8th International Conference on Nanomaterials-Research and Application …, 2016 | | 2016 |
Applications in Energy and Combustion Science KK Yalamanchi, S Kommalapati, P Pal, N Kuzhagaliyeva, AS AlRamadan, ... | | |