Hidenori SASAKI

Topology Optimization With Shapley Additive Explanations for Permanent Magnet Synchronous Motors 

IEEE Transactions on Magnetics, 60(3) 1-4, Mar, 2024  Peer-reviewedLead authorCorresponding author

Generalization Performance in Predicting Torque Characteristics Using Convolutional Neural Network and Stator Magnetic Flux 

IEEE Transactions on Magnetics, 60(3) 1-4, Mar, 2024  Peer-reviewedCorresponding author

A Fast Physics-informed Neural Network Based on Extreme Learning Machine for Solving Magnetostatic Problems 

2023 24th International Conference on the Computation of Electromagnetic Fields (COMPUMAG), May 22, 2023  Peer-reviewed

Speedup of Flux Waveforms Control Using Deep Neural Network for Single Sheet Tester 

CEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings, Nov, 2022  Peer-reviewed

Estimation Method for Magnetization Distribution in Permanent Magnet Using Deep Neural Network 

CEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings, Nov, 2022  Peer-reviewedLead authorCorresponding author

Prediction of IPM Machine Torque Characteristics Using Deep Learning Based on Magnetic Field Distribution 

IEEE Access, 10 60814-60822, Jun, 2022  Peer-reviewedLead author

Topology Optimization for Motor Using Multitask Convolutional Neural Network under Multiple Current Conditions 

IEEE Transactions on Magnetics, May, 2022  Peer-reviewedLead author

Prediction of Current-dependent Motor Torque Characteristics Using Deep Learning for Topology Optimization 

IEEE Transactions on Magnetics, Apr, 2022  Peer-reviewed

Topology optimization of electrical devices using Gaussian filter 

Journal of Advanced Simulation in Science and Engineering, 8(1) 98-113, Aug, 2021  Peer-reviewed

Explainable Deep Neural Network for Design of Electric Motors 

IEEE Transactions on Magnetics, 57(6), Jun, 2021  Peer-reviewedLead author

Topology Optimization using Deep Learning ——Comparison of Simultaneous and Additional Learning—— 

IEEJ Transactions on Power and Energy, 140(12) 858-865, Dec, 2020  Peer-reviewedLead author

Topology optimization accelerated by deep learning 

IEEE Transactions on Magnetics, 55(6), Jun, 2019  Peer-reviewedLead author

Multi-objective topology optimization of rotating machines using deep learning 

IEEE Transactions on Magnetics, 55(6), Jun, 2019  Peer-reviewed

Topology optimization of IPM motor with aid of deep learning 

International Journal of Applied Electromagnetics and Mechanics, 59(1) 87-96, Mar, 2019  Peer-reviewedLead author

Topology optimization using basis functions for improvement of rotating machine performances 

IEEE Transactions on Magnetics, 54(3), Mar, 2018  Peer-reviewedLead author

Topology optimization of IPM motors using fourier series 

IEEJ Transactions on Power and Energy, 137(3) 245-253, Mar, 2017  Peer-reviewedLead author

Regularized topology optimization of IPM motors and post-processing for interpretation of optimal solutions 

IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation, Jan, 2017  Peer-reviewedLead author