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Spiderweb Nanomechanical Resonators via Bayesian Optimization: Inspired by Nature and Guided by Machine Learning
Spiderweb Nanomechanical Resonators via Bayesian Optimization: Inspired by Nature and Guided by Machine Learning
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Spiderweb Nanomechanical Resonators via Bayesian Optimization: Inspired by Nature and Guided by Machine Learning

Shin, Dongil ; Cupertino, Andrea ; de Jong, Matthijs H. J. ; Steeneken, Peter G. ; Bessa, Miguel A. ; Norte, Richard A.

Advanced materials (Weinheim), 2022-01, Vol.34 (3), p.e2106248-n/a [Periódico revisado por pares]

Germany: Wiley Subscription Services, Inc

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2
Cogging Torque Suppression of Modular Permanent Magnet Machines Using a Semi-Analytical Approach and Artificial Intelligence
Cogging Torque Suppression of Modular Permanent Magnet Machines Using a Semi-Analytical Approach and Artificial Intelligence
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Cogging Torque Suppression of Modular Permanent Magnet Machines Using a Semi-Analytical Approach and Artificial Intelligence

Brescia, E. ; Palmieri, M. ; Massenio, P. R. ; Cascella, G. L. ; Cupertino, F.

IEEE access, 2023-01, Vol.11, p.1-1 [Periódico revisado por pares]

Piscataway: IEEE

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3
Dimensionality reduction with the k-associated optimal graph applied to image classification
Dimensionality reduction with the k-associated optimal graph applied to image classification
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Dimensionality reduction with the k-associated optimal graph applied to image classification

Cupertino, Thiago H. ; Carneiro, Murillo G. ; Liang Zhao

2013 IEEE International Conference on Imaging Systems and Techniques (IST), 2013, p.366-371

IEEE

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4
Optimal Tooth Tips Design for Cogging Torque Suppression of Permanent Magnet Machines with a Segmented Stator Core
Optimal Tooth Tips Design for Cogging Torque Suppression of Permanent Magnet Machines with a Segmented Stator Core
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Optimal Tooth Tips Design for Cogging Torque Suppression of Permanent Magnet Machines with a Segmented Stator Core

Brescia, E. ; Palmieri, M. ; Cascella, G. L. ; Cupertino, F.

2020 International Conference on Electrical Machines (ICEM), 2020, Vol.1, p.1930-1936

IEEE

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5
FEA-based multi-objective optimization of IPM motor design including rotor losses
FEA-based multi-objective optimization of IPM motor design including rotor losses
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FEA-based multi-objective optimization of IPM motor design including rotor losses

Pellegrino, G ; Cupertino, F

2010 IEEE Energy Conversion Congress and Exposition, 2010, p.3659-3666

IEEE

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6
Barriers shapes and minimum set of rotor parameters in the automated design of Synchronous Reluctance machines
Barriers shapes and minimum set of rotor parameters in the automated design of Synchronous Reluctance machines
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Barriers shapes and minimum set of rotor parameters in the automated design of Synchronous Reluctance machines

Pellegrino, G. ; Cupertino, F. ; Gerada, C.

2013 International Electric Machines & Drives Conference, 2013, p.1204-1210

IEEE

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7
Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning
Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning
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Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning

Shin, Dongil ; Cupertino, Andrea ; Matthijs H J de Jong ; Steeneken, Peter G ; Bessa, Miguel A ; Norte, Richard A

arXiv.org, 2021-12

Ithaca: Cornell University Library, arXiv.org

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8
IPM motor rotor design by means of FEA-based multi-objective optimization
IPM motor rotor design by means of FEA-based multi-objective optimization
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IPM motor rotor design by means of FEA-based multi-objective optimization

Pellegrino, G ; Cupertino, F

2010 IEEE International Symposium on Industrial Electronics, 2010, p.1340-1346

IEEE

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9
Nature-Inspired Graph Optimization for Dimensionality Reduction
Nature-Inspired Graph Optimization for Dimensionality Reduction
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Nature-Inspired Graph Optimization for Dimensionality Reduction

Carneiro, Murillo G. ; Cupertino, Thiago H. ; Cheng, Ran ; Jin, Yaochu ; Zhao, Liang

2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), 2017, p.1113-1119

IEEE

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10
A SyR and IPM machine design methodology assisted by optimization algorithms
A SyR and IPM machine design methodology assisted by optimization algorithms
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A SyR and IPM machine design methodology assisted by optimization algorithms

Cupertino, F. ; Pellegrino, G. M. ; Armando, E. ; Gerada, C.

2012 IEEE Energy Conversion Congress and Exposition (ECCE), 2012, p.3686-3691

IEEE

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