1D-CNN_matchar

1D-CNN for material characterization

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This code is a part of the work presented in the paper:

Ultrasonic Guided Waves Based Identification of Elastic Properties Using 1D-Convolutional Neural Networks.

The paper is available at https://ieeexplore.ieee.org/document/9187057/

If IEEE Xplore is not accessible freely, the preprint of the paper is available at

https://www.researchgate.net/publication/344228571_Ultrasonic_Guided_Waves_Based_Identification_of_Elastic_Properties_Using_1D-Convolutional_Neural_Networks

Please cite the paper if you are using the code, datasets or paper for your research paper.

For a demo dataset or a more detailed explaination of the code, write to us at [email protected]

Few Important details about the code:

- This code can be run on a jupyter notebook either on a google colab platform (Recommended) or a personal computer with jupyter.

- To run the code on a personal jupyter platform, you need to add some lines of code to convert tensorflow 1.x to 2.x if current system is using tensorflow 2.x

- Each line of code is provided with the heading and neccessary descriptions.

- To access the code on google colab, you need to put the dataset in the google drive.

- "mount drive" and the address of the google drive folder will help to import the dataset in the code.

- For more information, you can write to us at [email protected]