One-dimensional convolutional neural networks for spectroscopic signal regression

Author:

Malek Salim1,Melgani Farid1ORCID,Bazi Yakoub2

Affiliation:

1. Department of Information Engineering and Computer Science; University of Trento; Via Sommarive 9 I-38123 Trento Italy

2. College of Computer and Information Sciences; King Saud University; Riyadh 11543 Saudi Arabia

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Reference41 articles.

1. Quality control of sugar beet seeds with THz time-domain spectroscopy;Gente;IEEE Trans Terahertz Sci Technol,2016

2. A new method for indirect measurement of water content in fibrous electro-insulating materials using near-infrared spectroscopy;Przybylek;IEEE Trans Dielectr Electr Insul,2016

3. Measurement of pesticide residues in food based on diffuse reflectance IR spectroscopy;Hiroaki;IEEE Trans Instrum Meas,2002

4. Mignani AG Ciaccheri L Mencaglia AA Ottevaere H Thienpont H. Spectroscopy AS a “green” technique for food quality and safety applications Technical Digest of the Eighteenth Microoptics Conference 2013 1 2

5. Nishizawa S Morita H Iwamoto T Takeda MW Tani M. Terahertz time-domain spectroscopy applied to nondestructive evaluation of pharmaceutical products 2011 International Conference on Infrared, Millimeter, and Terahertz Waves 2011 1 2

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