Machine learning for nanomaterial-based optical wavelength estimation.data.zip

<p>This is the training/testing pipeline used for:</p><p>Davoud Hejazi, Shuangjun Liu, Amirreza Farnoosh, Sarah Ostadabbas, Swastik Kar, "Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning Algorithms," 2019. <a href="https://arxiv.org/abs/1912.11751">arXiv.1907.02161</a></p><p>Contact: <a href="https://github.com/ostadabbas/Machine-learning-for-nanomaterial-based-optical-wavelength-estimation/blob/master/hejazi.d@northeastern.edu">Davoud Hejazi</a>, <a href="https://github.com/ostadabbas/Machine-learning-for-nanomaterial-based-optical-wavelength-estimation/blob/master/ostadabbas@ece.neu.edu">Sarah Ostadabbas</a>, <a href="https://github.com/ostadabbas/Machine-learning-for-nanomaterial-based-optical-wavelength-estimation/blob/master/s.kar@northeastern.edu">Swastik Kar</a></p><p>This project is collection of several codes, for the purpose of testing the efficacy of various machine learning algorithms in estimating optical wavelength using optical transmittance data of nanomaterials-based thin-film filters. More details can be found in "READEME.md" file included with the codes.</p>