Andrea Coraddu

Orcid: 0000-0001-8891-4963

According to our database1, Andrea Coraddu authored at least 13 papers between 2014 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

2024
Computationally Aware Surrogate Models for the Hydrodynamic Response Characterization of Floating Spar-Type Offshore Wind Turbine.
IEEE Access, 2024

2023
Physically plausible propeller noise prediction via recursive corrections leveraging prior knowledge and experimental data.
Eng. Appl. Artif. Intell., 2023

A Comprehensive Review of Modeling and Optimization Methods for Ship Energy Systems.
IEEE Access, 2023

Physics Informed Data Driven Techniques for Power Flow Analysis.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022
Vibration Edge Computing in Maritime IoT.
ACM Trans. Internet Things, 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
Deep Learning for Cavitating Marine Propeller Noise Prediction at Design Stage.
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
Vessel monitoring and design in industry 4.0: A data driven perspective.
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016

2014
Condition Based Maintenance of Naval Propulsion Plants.
Dataset, September, 2014


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