Deep learning-based gas identification and quantification with auto-tuning of hyper-parameters
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-021-06222-1.pdf
Reference49 articles.
1. Akbar MA, Ali AAS, Amira A, Bensaali F, Benammar M, Hassan M, Bermak A (2016) An empirical study for PCA-and LDA-based feature reduction for gas identification. IEEE Sens J 16(14):5734–5746
2. Badura M, Szczurek A, Szecówka P (2013) Statistical assessment of quantification methods used in gas sensor system. Sens Actuators B Chem 188:815–823
3. Bahraminejad B, Basri S, Isa M, Hambli Z (2010) Real-time gas identification by analyzing the transient response of capillary-attached conductive gas sensor. Sensors 10(6):5359–5377
4. Barkó G, Abonyi J, Hlavay J (1999) Application of fuzzy clustering and piezoelectric chemical sensor array for investigation on organic compounds. Anal Chim Acta 398(2–3):219–226
5. Blatt R, Bonarini A, Calabro E, Torre MD, Matteucci M, Pastorino U (2007) Lung cancer identification by an electronic nose based on an array of MOS sensors. In: 2007 International joint conference on neural networks, pp 1423–1428. https://doi.org/10.1109/IJCNN.2007.4371167
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