Convolutional Neural Networks for Multi-Frequency Electromagnetic Inverse Problems

IEEE Antennas and Wireless Propagation Letters ◽

10.1109/lawp.2021.3085033 ◽

2021 ◽

pp. 1-1

Author(s):

Hao Li ◽

Lijia Chen ◽

Jinghui Qiu

Keyword(s):

Neural Networks ◽

Inverse Problems ◽

Convolutional Neural Networks

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Physics-Informed Graph Convolutional Neural Networks: A Unified Framework for Solving PDE-Governed Forward and Inverse Problems

10.1115/1.0004979v ◽

2021 ◽

Author(s):

Han Gao ◽

Jian-Xun Wang

Keyword(s):

Neural Networks ◽

Inverse Problems ◽

Convolutional Neural Networks ◽

Unified Framework

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Convolutional Neural Networks in Phase Space and Inverse Problems

SIAM Journal on Applied Mathematics ◽

10.1137/19m1294484 ◽

2020 ◽

Vol 80 (6) ◽

pp. 2560-2585

Author(s):

Gunther Uhlmann ◽

Yiran Wang

Keyword(s):

Neural Networks ◽

Phase Space ◽

Inverse Problems ◽

Convolutional Neural Networks

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Inverse problems of macrofracture formations exploration seismology solution with use of convolutional neural networks

Radioelectronics Nanosystems Information Technologies ◽

10.17725/rensit.2020.12.253 ◽

2020 ◽

Vol 12 (2) ◽

pp. 253-262

Author(s):

Maxim V. Muratov ◽

◽

Vasily V. Ryazanov ◽

Igor B. Petrov ◽

◽

...

Keyword(s):

Neural Networks ◽

Inverse Problems ◽

Convolutional Neural Networks ◽

Exploration Seismology

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When to Use Convolutional Neural Networks for Inverse Problems

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ◽

10.1109/cvpr42600.2020.00825 ◽

2020 ◽

Author(s):

Nathaniel Chodosh ◽

Simon Lucey

Keyword(s):

Neural Networks ◽

Inverse Problems ◽

Convolutional Neural Networks

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Multi-resolution convolutional neural networks for inverse problems

Scientific Reports ◽

10.1038/s41598-020-62484-z ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Feng Wang ◽

Alberto Eljarrat ◽

Johannes Müller ◽

Trond R. Henninen ◽

Rolf Erni ◽

...

Keyword(s):

Neural Networks ◽

Inverse Problems ◽

Convolutional Neural Networks

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Numerical Solution of Inverse Problems of Wave Dynamics in Heterogeneous Media with Convolutional Neural Networks

Smart Modelling for Engineering Systems - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-33-4619-2_18 ◽

2021 ◽

pp. 235-246

Author(s):

Andrey S. Stankevich ◽

Igor B. Petrov ◽

Alexey V. Vasyukov

Keyword(s):

Neural Networks ◽

Inverse Problems ◽

Numerical Solution ◽

Convolutional Neural Networks ◽

Heterogeneous Media ◽

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Multi-resolution convolutional neural networks for inverse problems

10.22443/rms.emc2020.881 ◽

2021 ◽

Author(s):

Feng Wang ◽

Keyword(s):

Neural Networks ◽

Inverse Problems ◽

Convolutional Neural Networks

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Convolutional Neural Networks for Inverse Problems in Imaging: A Review

IEEE Signal Processing Magazine ◽

10.1109/msp.2017.2739299 ◽

2017 ◽

Vol 34 (6) ◽

pp. 85-95 ◽

Author(s):

Michael T. McCann ◽

Kyong Hwan Jin ◽

Michael Unser

Keyword(s):

Neural Networks ◽

Inverse Problems ◽

Convolutional Neural Networks

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Evaluation von Bildparametern und eines convolutional neural networks in der FDG-PET/MR/CT zur Prädiktion des Gesamtüberlebens (OS) und des Therapieansprechens bei Patienten mit Melanom unter CIT.

10.1055/s-0040-1703340 ◽

2020 ◽

Author(s):

F Seith ◽

J Vogel ◽

C la Fougère ◽

T Küstner ◽

K Nikolaou ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

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Traffic Lights Detection in adverse conditions using Convolutional Neural Networks

10.33107/ubt-ic.2018.75 ◽

2018 ◽

Author(s):

George Symeonidis ◽

Peter P. Groumpos ◽

Evangelos Dermatas

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Traffic Lights ◽

Adverse Conditions

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