Andrea Coraddu
Orcid: 0000-0001-8891-4963
According to our database1,
Andrea Coraddu authored at least 21 papers
between 2014 and 2026.
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Bibliography
2026
Degradation-aware Predictive Energy Management for Fuel Cell-Battery Ship Power System with Data-driven Load Forecasting.
CoRR, April, 2026
Reconciling grokking with statistical learning theory through the lens of norm- and stability-based generalization bounds.
Neurocomputing, 2026
2025
A review on full-, zero-, and partial-knowledge based predictive models for industrial applications.
Inf. Fusion, 2025
Energy-Based Voltage Stabilization in DC Shipboard Power Systems With Dual Loop Control.
IEEE Access, 2025
Physics Informed Machine Learning for Power Flow Analysis: Injecting Knowledge via Pre-, In-, and Post-processing.
Proceedings of the Advances in Computational Intelligence, 2025
Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025
2024
Data-Driven Models for Yacht Hull Resistance Optimization: Exploring Geometric Parameters Beyond the Boundaries of the Delft Systematic Yacht Hull Series.
IEEE Access, 2024
Computationally Aware Surrogate Models for the Hydrodynamic Response Characterization of Floating Spar-Type Offshore Wind Turbine.
IEEE Access, 2024
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024
2023
Physically plausible propeller noise prediction via recursive corrections leveraging prior knowledge and experimental data.
Eng. Appl. Artif. Intell., 2023
IEEE Access, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
2022
Optimizing Fuel Consumption in Thrust Allocation for Marine Dynamic Positioning Systems.
IEEE Trans Autom. Sci. Eng., 2022
2021
Marine dual fuel engines monitoring in the wild through weakly supervised data analytics.
Eng. Appl. Artif. Intell., 2021
2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2018
Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback.
Reliab. Eng. Syst. Saf., 2018
Unintrusive Monitoring of Induction Motors Bearings via Deep Learning on Stator Currents.
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018
2017
Marine Safety and Data Analytics: Vessel Crash Stop Maneuvering Performance Prediction.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
2016
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016
2014