The following publications are possibly variants of this publication:
- Loss Behavioral Modeling for Ferrite InductorsGiulia Di Capua, Nicola Femia, Kateryna Stoyka. smacd 2018: 1-9 [doi]
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- Genetic programming approach for identification of ferrite inductors power loss modelsGiulia Di Capua, Nicola Femia, Mario Migliaro, Kateryna Stoyka. iecon 2016: 1112-1117 [doi]
- Modeling of Stepped Air-Gap Ferrite Inductors in Switching Power SuppliesKateryna Stoyka, Giulia Di Capua, Nicola Femia. icecsys 2018: 401-404 [doi]
- Ferrite inductor models for switch-mode power supplies analysis and designGiulia Di Capua, Nicola Femia, Kateryna Stoyka, Matteo Lodi, Alberto Oliveri, Marco Storace. smacd 2017: 1-4 [doi]
- Modeling of Ferrite Inductors Power Loss Based on Genetic Programming and Neural NetworksGiulia Di Capua, Mario Molinara, Francesco Fontanella, Claudio De Stefano, Nunzio Oliva, Nicola Femia. wivace 2023: 245-253 [doi]
- Pulse Compression for Ferrite Inductors Modeling in Moderate SaturationPietro Burrascano, Giulia Di Capua, Nicola Femia, Stefano Laureti, Marco Ricci. smacd 2018: 229-232 [doi]
- Neural Models of Ferrite Inductors Non-Linear BehaviorPietro Burrascano, Giulia Di Capua, Stefano Laureti, Marco Ricci. iscas 2019: 1-5 [doi]
- An improved algorithm for the analysis of partially saturated ferrite inductors in switching power suppliesGiulia Di Capua, Nicola Femia, Kateryna Stoyka. smacd 2016: 1-4 [doi]