DODGE, SHAYAN Statistiche

DODGE, SHAYAN  

DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA, DEI SISTEMI, DEL TERRITORIO E DELLE COSTRUZIONI  

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Titolo Data di pubblicazione Autore(i) File
A Comparison of Machine Learning and Classical Numerical Approaches for the Resolution of Electromagnetics Problems 1-gen-2025 Formisano, A.; Dodge, S.; Barmada, S.
A deep learning based lightning location system 1-gen-2025 Dodge, S.; Nicora, M.; Barmada, S.; Brignone, M.; Procopio, R.; Tucci, M.
A Deep Learning Based Prediction of Specific Absorption Rate Hot‐Spots Induced by Broadband Electromagnetic Devices 1-gen-2025 Dodge, Shayan; Fontana, Nunzia; Evelina Mognaschi, Maria; Canicattì, Eliana; Barmada, Sami
A STacked Adaptive Residual PINN (STAR-PINN) Approach to 2D Time-Domain Magnetic Diffusion in Nonlinear Materials 1-gen-2025 Dodge, Shayan; Barmada, Sami; Formisano, Alessandro
Unilateral EMG-Guided Botulinum Toxin for Retrograde Cricopharyngeus Dysfunction: A Prospective Clinical and Neurophysiological Study 1-gen-2025 Cosentino, G.; Zaffina, C.; Zoccola, C.; Fresia, M.; Merli, S.; Mauramati, S.; Bertino, G.; Todisco, M.; Dodge, S.; Barmada, S.; Alfonsi, E.; Tassorelli, C.
Weak Formulation for Physics-Informed Neural Networks in the Resolution of Analysis Problems in Electromagnetics 1-gen-2025 Barmada, S.; Dodge, S.; Formisano, A.
A Novel Hybrid Boundary Element - Physics Informed Neural Network Method for Numerical Solutions in Electromagnetics 1-gen-2024 Barmada, S.; Dodge, S.; Tucci, M.; Formisano, A.; Di Barba, P.; Evelina Mognaschi, M.