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Electromagnetic Field Reconstruction and Source Identification Using Conditional Variational Autoencoder and CNN 1-gen-2023 Barmada, S.; Di Barba, P.; Fontana, N.; Mognaschi, M. E.; Tucci, M.
Neural metamodels and transfer learning for induction heating processes (TEAM 36 problem) 1-gen-2023 Di Barba, P.; Dughiero, F.; Forzan, M.; Lowther, D. A.; Marconi, A.; Mognaschi, M. E.; Sykulski, J. K.
Introduction to the special issue Deep learning for analysis and synthesis in electromagnetics 1-gen-2023 Mognaschi, M. E.
Learning-Based Approaches to Current Identification from Magnetic Sensors 1-gen-2023 Barmada, S.; Di Barba, P.; Formisano, A.; Mognaschi, M. E.; Tucci, M.
A Deep Learning Approach to Improve the Control of Dynamic Wireless Power Transfer Systems 1-gen-2023 Bertoluzzo, M.; Di Barba, P.; Forzan, M.; Mognaschi, M. E.; Sieni, E.
Finite Element Evaluation of the Electric Field Distribution in a Non-Homogeneous Environment 1-gen-2023 Sieni, E.; Dettin, M.; Zamuner, A.; Conconi, M. T.; Bazzolo, B.; Balducci, C.; Di Barba, P.; Forzan, M.; Lamberti, P.; Mognaschi, M. E.
A Numerical Twin Model for the Coupled Field Analysis of TEAM Workshop Problem 36 1-gen-2023 Di Barba, P.; Mognaschi, M. E.; Cavazzini, A. M.; Ciofani, M.; Dughiero, F.; Forzan, M.; Lazzarin, M.; Marconi, A.; Lowther, D. A.; Sykulski, J. K.
Electromagnetic Wave Absorption in the Human Head: A Virtual Sensor Based on a Deep-Learning Model 1-gen-2023 Di Barba, P.; Januszkiewicz, L.; Kawecki, J.; Mognaschi, M. E.
Multiobjective optimization of compensation networks for wireless power transfer systems 1-gen-2022 Bertoluzzo, M.; Di Barba, P.; Forzan, M.; Mognaschi, M. E.; Sieni, E.
Optimization of Compensation Network for a Wireless Power Transfer System in Dynamic Conditions: A Circuit Analysis Approach 1-gen-2022 Bertoluzzo, M.; Di Barba, P.; Forzan, M.; Mognaschi, M. E.; Sieni, E.
Optimal shape design of a class of permanent magnet motors in a multiple-objectives context 1-gen-2022 Di Barba, P.; Mognaschi, M. E.; Petkovska, L.; Cvetkovski, G. V.
Field models for the electromagnetic compatibility of wireless power transfer systems for electric vehicles 1-gen-2022 Bertoluzzo, M.; Di Barba, P.; Forzan, M.; Mognaschi, M. E.; Sieni, E.
Neural metamodelling of fields: Towards a new deal in computational electromagnetics 1-gen-2022 Di Barba, P.; Mognaschi, M. E.; Wiak, S.
Cost-effective optimal synthesis of the efficiency map of permanent magnet synchronous motors 1-gen-2022 Di Barba, P.; Mognaschi, M. E.; Petkovska, L.; Cvetkovski, G.
Finite element models of dynamic-WPTS: a field-circuit approach 1-gen-2022 Bertoluzzo, M.; Di Barba, P.; Forzan, M.; Mognaschi, M. E.; Sieni, E.
CNN-Based Surrogate Models of the Electrostatic Field for a MEMS Motor: A Bi-Objective Optimal Shape Design 1-gen-2022 Di Barba, P.; Mognaschi, M. E.; Wiak, S.
Convolutional neural networks for the shape design of a magnetic core for material testing: Forward and inverse approaches 1-gen-2022 Di Barba, P.; Mognaschi, M. E.; Sieni, E.; Ziolkowski, M.
Synthesis of WPTS compensation networks considering multiple criteria 1-gen-2022 Bertoluzzo, M.; Di Barba, P.; Forzan, M.; Mognaschi, M. E.; Sieni, E.
Wireless Power Transfer System in Dynamic Conditions: A Field-Circuit Analysis 1-gen-2022 Bertoluzzo, M.; Di Barba, P.; Forzan, M.; Mognaschi, M. E.; Sieni, E.
Virtual Reality-Based Training: Case Study in Mechatronics 1-gen-2021 Kaminska, D.; Zwolinski, G.; Wiak, S.; Petkovska, L.; Cvetkovski, G.; Di Barba, P.; Mognaschi, M. E.; Haamer, R. E.; Anbarjafari, G.
Mostrati risultati da 1 a 20 di 128
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