Inès Jorge

According to our database1, Inès Jorge authored at least 5 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2023
Machine-learning-based predictive maintenance for lithium-ion batteries in electric vehicles. (Maintenance prévisionnelle des batteries lithium-ion dans les véhicules électriques à base d'apprentissage automatique).
PhD thesis, 2023

SocHAP: A New Data Driven Explainable Prediction of Battery State of Charge.
Proceedings of the Computational Science - ICCS 2023, 2023

2021
Auto-encoder LSTM for Li-ion SOH prediction: a comparative study on various benchmark datasets.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
New ANN results on a major benchmark for the prediction of RUL of Lithium Ion batteries in electric vehicles.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Study and simulation of an electric scooter based on a dynamic modelling approach.
Proceedings of the Fifteenth International Conference on Ecological Vehicles and Renewable Energies, 2020


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