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Items where Author is "Cirrincione, Giansalvo"

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Number of items: 9.

Journal Article

Kumar, Meshach and Mehta, Utkal V. and Cirrincione, Giansalvo (2024) Enhancing neural network classification using fractional - order activation functions. AI Open, 5 . pp. 10-22. ISSN 2666-6510

Kumar, Meshach and Mehta, Utkal V. and Cirrincione, Giansalvo (2024) A Novel Approach to Modeling Incommensurate Fractional Order Systems Using Fractional Neural Networks. Mathematics, 12 (1). p. 83. ISSN 2227-7390

Jannif, Nayzel I. and Kumar, Rahul R. and Mohammadi, Ali and Cirrincione, Giansalvo and Cirrincione, Maurizio (2023) Constrained least - squares parameter estimation for a double layer capacitor. Energies, 16 (10). NA. ISSN 1996-1073

Kumar, Rahul R. and Andriollo, Mauro and Cirrincione, Giansalvo and Cirrincione, Maurizio and Tortella, Andrea (2022) A comprehensive Review of Conventional and Intelligence - Based Approaches for the Fault Diagnosis and Condition Monitoring of Induction Motors. Energies, 15 (23). pp. 1-36. ISSN 1996-1073

Kumar, Rahul R. and Randazzo, Vincenzo and Cirrincione, Giansalvo and Cirrincione, Maurizio and Pasero, Eros and Tortella, A. and Andriollo, M. (2021) Induction Machine Stator Fault Tracking Using the Growing Curvilinear Component Analysis. IEEE Access, 9 . pp. 2201-2212. ISSN 2169-3536

Kumar, Rahul R. and Cirrincione, Giansalvo and Cirrincione, Maurizio and Tortella, A. and Andriollo, M. (2021) A Topological Neural-Based Scheme for Classification of Faults in Induction Machines. IEEE Transactions on Industry Applications, 57 (1). pp. 272-283. ISSN 0093-9994

Cirrincione, Giansalvo and Kumar, Rahul R. and Mohammadi, Ali and Kia, Shahin H. and Barbiero, Pietro and Ferreti, Jacopo (2020) Shallow versus deep neural networks in gear fault diagnosis. IEEE Transactions on Energy Conversion, 35 (3). pp. 1338-1347. ISSN 0885-8969

Cirrincione, Giansalvo and Randazzo, Vincenzo and Pasero, Eros (2018) The Growing Curvilinear Component Analysis (GCCA) neural network. Neural Networks, 103 . 108 - 117. ISSN 0893-6080

Mohammadi, Ali and Cirrincione, Giansalvo and Abdesslem , Djerdir and Khaburi, Arab (2017) A novel approach for modeling the internal behavior of a PEMFC by using electrical circuits. International Journal of Hydrogen Energy, TBC . pp. 1-11. ISSN 0360-3199

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