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CNN-based deep learning classifier for identification of volatile organic compounds (VOCs) in the THz frequency range. (Part of PhD dissertation)

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VOC-Net

Volatile Organic Compound Classification Network in 220-330 GHz (7.33-11 1/cm) frequency range. Read our paper.

A deep learning/machine learning tool for classifying rotational/THz spectra.

Funding

This work was supported by the National Science Foundation under Grant CBET-1851291.

License

MIT License.

Publication

Chowdhury, M. Arshad Zahangir, Timothy E. Rice, and Matthew A. Oehlschlaeger. 2022. "VOC-Net: A Deep Learning Model for the Automated Classification of Rotational THz Spectra of Volatile Organic Compounds" Applied Sciences 12, no. 17: 8447. https://doi.org/10.3390/app12178447

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CNN-based deep learning classifier for identification of volatile organic compounds (VOCs) in the THz frequency range. (Part of PhD dissertation)

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