Items where Author is "Cirrincione, Giansalvo"

Book Chapter

Kumar, Sidhant and Kumar, Vijayeshkar and Ram, Krishnil R. and Wood, Daniel and Cirrincione, Giansalvo and Kumar, Rahul R. (2023) ECG Signal Classification Using Long Short - Term Memory Neural Networks. In: Smart Innovation, Systems and Technologies. Springer Nature, Singapore, pp. 195-206. ISBN 978-981-99-3591-8

Randazzo, Vincenzo and Marchetti, Gaia and Giustetto, Carla and Gugliermina, Erica and Kumar, Rahul R. and Cirrincione, Giansalvo and Gaita, Fiorenzo and Pasero, Eros (2023) Learning - Based Approach to Predict Fatal Events in Brugada Syndrome. In: Applications of Artificial Intelligence and Neural Systems to Data Science. Smart Innovation, Systems and Technologies. Springer Nature, Singapore, pp. 63-72. ISBN 978-981-99-3591-8

Cirrincione, Giansalvo and Randazzo, Vicenzo and Kumar, Rahul R. and Cirrincione, Maurizio and Pasero, Eros (2020) Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines. In: Neural Approaches to Dynamics of Signal Exchanges. Springer Nature, Switzerland, pp. 235-244. ISBN 978-981-13-8949-8

Aitchison, David and Cirrincione, Maurizio and Cirrincione, Giansalvo and Mohammadi, Ali and Marcello, Pucci (2017) Feasibility study and design of a flywheel energy system in a microgrid for small village in Pacific island state countries. In: Smart Energy Grid Design for Island Countries. Green Energy and Technology book series . Springer, Switzerland, pp. 159-187. ISBN 9783319501963

Conference Proceedings

Raj, Krish K. and Kumar, Shahil and Cirrincione, Giansalvo and Cirrincione, Maurizio and Kumar, Rahul R. (2024) Bearing Fault Classification using Temporal Features for Wind Turbine Application: Harnessing Neural and Non - Neural Techniques. [Conference Proceedings]

Cheon, Terence and Malai, Michael and Cirrincione, Giansalvo and Cirrincione, Maurizio and Kumar, Rahul R. and Mohammadi, Ali (2024) Diagnosis of Faults in Proton Exchange Membrane Fuel Cells Using Shallow Neural - Based Approaches. [Conference Proceedings]

Kumar, Rahul R. and Sharma, Priynka and Mohammadi, Ali and Cirrincione, Giansalvo and Cirrincione, Maurizio (2023) Detection and classification of stator inter - turn fault severity levels using prominence - based features and neural networks. [Conference Proceedings]

Rokocakau, Samuela and Tresca, Giulia and Cirrincione, Giansalvo and Zanchetta, Pericle and Kumar, Rahul R. and Cirrincione, Maurizio and Frosini, Lucia (2023) Fault Detection in Cascaded H - Bridge Inverters using Spectrogram Analysis and Convolutional Neural Networks. [Conference Proceedings]

Kumar, Rahul R. and Cirrincione, Giansalvo and Taherzadeh, Mehdi and Hénao, Humberto (2023) Open Rotor Phase Fault Detection in Wound - Rotor Induction Machines Using Signal Texture and Shallow Neural Networks. [Conference Proceedings]

Sharma, Priynka and Cirrincione, Giansalvo and Kumar, Rahul R. and Mohammadi, Ali and Cirrincione, Maurizio (2023) Stator inter - turn fault severity classification using neural based approaches. [Conference Proceedings]

Sharma, Priynka and Cirrincione, Giansalvo and Kumar, Rahul R. and Mohammadi, Ali and Cirrincione, Maurizio (2023) A comparative study for the detection of stator inter - turn faults in induction motors using shallow neural networks and non - neural based techniques. [Conference Proceedings]

Kumar, Rahul R. and Randazzo, Vincenzo and Cirrincione, Giansalvo and Cirrincione, Maurizio (2022) Tracking Evolution of Stator - based Fault in Induction Machines using the Growing Curvilinear Component Analysis Neural Network. [Conference Proceedings]

Riccio, Jacopo and Kumar, Rahul R. and Cirrincione, Giansalvo and Zanchetta, Pericle and Cirrincione, Maurizio (2022) Fault Diagnosis using Shallow Neural Networks for Voltage Source Inverters in SynRM Drives. [Conference Proceedings]

Narayan, Siwan and Kumar, Rahul R. and Cirrincione, Giansalvo and Cirrincione, Maurizio (2021) Detection of Stator Fault in Synchronous Reluctance Machines Using Shallow Neural Networks. [Conference Proceedings]

Kumar, Rahul R. and Kumar, Shanal S. and Cirrincione, Giansalvo and Cirrincione, Maurizio and Guilbert, Damien and Ram, Krishnil R. and Mohammadi, Ali (2021) Power Switch Open - Circuit Fault-Diagnosis Based on a Shallow Long - Short Term Memory Neural Network: Investigation of an Interleaved Buck Converter for Electrolyzer applications. [Conference Proceedings]

Liu, Yong-Chao and Laghrouche, Salah and N'Diaye, Abdoul and Narayan, Siwan and Cirrincione, Giansalvo and Cirrincione, Maurizio (2019) Sensorless control of synchronous reluctance motor drives based on the TLS EXIN neuron. [Conference Proceedings]

Mohammadi, Ali and Chabane, Djafar and Cirrincione, Giansalvo and Cirrincione, Maurizio and Djerdir, Abdesslem (2018) Effect of the temperature distribution on the performance of PEMFC stacks for fault diagnosis. [Conference Proceedings]

Cirrincione, Giansalvo and Cirrincione, Maurizio and Guilbert, Damien and Mohammadi, Ali and Randazzo, Vincenzo (2018) Power switch open - circuit fault detection in an interleaved DC/DC buck converter for electrolyzer applications by using curvilinear component analysis. [Conference Proceedings]

Kumar, Rahul R. and Cirrincione, Giansalvo and Cirrincione, Maurizio and Andriollo, M. and Tortella, A. (2018) Accurate Fault Diagnosis and Classification Scheme based on Non-Parametric, Statistical-Frequency Features and Neural Networks. [Conference Proceedings]

Kumar, Rahul R. and Cirrincione, Giansalvo and Cirrincione, Maurizio and Tortella, A. and Andriollo, M. (2018) Induction Machine Fault Diagnosis Using Stator Current Subspace Spectral Estimation. [Conference Proceedings]

Kumar, Rahul R. and Cirrincione, Giansalvo and Cirrincione, Maurizio and Tortella, A. and Andriollo, M. (2018) A Topological and Neural Based Technique for Classification of Faults in Induction Machines. [Conference Proceedings]

Jannif, Nayzel I. and Cirrincione, Giansalvo and Cirrincione, Maurizio and Mohammadi, Ali and Vitale, Gianpaolo (2017) Experimental Application of Least-Squares Technique for Estimation of Double Layer Super Capacitor Parameters. [Conference Proceedings]

Journal Article

Sharma, Priynka and Cirrincione, Maurizio and Mohammadi, Ali and Cirrincione, Giansalvo and Kumar, Rahul R. (2024) An overview of artificial intelligence - based techniques for PEMFC system diagnosis. IEEE Access, 12 . NA. ISSN 2169-3536

Kumar, Meshach and Mehta, Utkal V. and Cirrincione, Giansalvo (2024) System identification of a nonlinear continuously stirred tank reactor using fractional neural network. South African Journal of Chemical Engineering, 50 . pp. 299-310. ISSN 1026-9185

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). NA. 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