Machine learning for nanomaterial-based optical wavelength estimation.data.zip
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This is the training/testing pipeline used for:
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. arXiv.1907.02161
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.