160 related articles for article (PubMed ID: 38778952)
1. In Vitro Glucose Measurement from NIR and MIR Spectroscopy: Comprehensive Benchmark of Machine Learning and Filtering Chemometrics.
Khadem H; Nemat H; Elliott J; Benaissa M
Heliyon; 2024 May; 10(10):e30981. PubMed ID: 38778952
[TBL] [Abstract][Full Text] [Related]
2. Comparing Machine Learning and PLSDA Algorithms for Durian Pulp Classification Using Inline NIR Spectra.
Pokhrel DR; Sirisomboon P; Khurnpoon L; Posom J; Saechua W
Sensors (Basel); 2023 Jun; 23(11):. PubMed ID: 37300054
[TBL] [Abstract][Full Text] [Related]
3. Synchronously Predicting Tea Polyphenol and Epigallocatechin Gallate in Tea Leaves Using Fourier Transform-Near-Infrared Spectroscopy and Machine Learning.
Ye S; Weng H; Xiang L; Jia L; Xu J
Molecules; 2023 Jul; 28(14):. PubMed ID: 37513250
[TBL] [Abstract][Full Text] [Related]
4. Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer.
Gutiérrez S; Tardaguila J; Fernández-Novales J; Diago MP
PLoS One; 2015; 10(11):e0143197. PubMed ID: 26600316
[TBL] [Abstract][Full Text] [Related]
5. Garlic Origin Traceability and Identification Based on Fusion of Multi-Source Heterogeneous Spectral Information.
Han H; Sha R; Dai J; Wang Z; Mao J; Cai M
Foods; 2024 Mar; 13(7):. PubMed ID: 38611322
[TBL] [Abstract][Full Text] [Related]
6. Discrimination of
Sohn SI; Pandian S; Oh YJ; Zinia Zaukuu JL; Lee YH; Shin EK
Int J Mol Sci; 2022 Oct; 23(21):. PubMed ID: 36361601
[TBL] [Abstract][Full Text] [Related]
7. Rapid Determination of Wine Grape Maturity Level from pH, Titratable Acidity, and Sugar Content Using Non-Destructive In Situ Infrared Spectroscopy and Multi-Head Attention Convolutional Neural Networks.
Kalopesa E; Gkrimpizis T; Samarinas N; Tsakiridis NL; Zalidis GC
Sensors (Basel); 2023 Nov; 23(23):. PubMed ID: 38067909
[TBL] [Abstract][Full Text] [Related]
8. Savitzky-Golay coupled with digital bandpass filtering as a pre-processing technique in the quantitative analysis of glucose from near infrared spectra.
Patchava KC; Alrezj O; Benaissa M; Behairy H
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():6210-6213. PubMed ID: 28269670
[TBL] [Abstract][Full Text] [Related]
9. A Review of Machine Learning for Near-Infrared Spectroscopy.
Zhang W; Kasun LC; Wang QJ; Zheng Y; Lin Z
Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560133
[TBL] [Abstract][Full Text] [Related]
10. Rapid quality evaluation of Plantaginis Semen by near infrared spectroscopy combined with chemometrics.
Guan Y; Ye T; Yi Y; Hua H; Chen C
J Pharm Biomed Anal; 2022 Jan; 207():114435. PubMed ID: 34715582
[TBL] [Abstract][Full Text] [Related]
11. Coupling Scatter Correction with bandpass filtering for preprocessing in the quantitative analysis of glucose from near infrared spectra.
Alrezj OA; Patchava KC; Benaissa M; Alshebeili S
Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():1800-1803. PubMed ID: 29060238
[TBL] [Abstract][Full Text] [Related]
12. Utilization of Synthetic Near-Infrared Spectra via Generative Adversarial Network to Improve Wood Stiffness Prediction.
Ali SD; Raut S; Dahlen J; Schimleck L; Bergman R; Zhang Z; Nasir V
Sensors (Basel); 2024 Mar; 24(6):. PubMed ID: 38544255
[TBL] [Abstract][Full Text] [Related]
13. Chemometric pre-processing can negatively affect the performance of near-infrared spectroscopy models for fruit quality prediction.
Mishra P; Rutledge DN; Roger JM; Wali K; Khan HA
Talanta; 2021 Jul; 229():122303. PubMed ID: 33838766
[TBL] [Abstract][Full Text] [Related]
14. Rapid identification of salmonella serovars by using Raman spectroscopy and machine learning algorithm.
Sun J; Xu X; Feng S; Zhang H; Xu L; Jiang H; Sun B; Meng Y; Chen W
Talanta; 2023 Feb; 253():123807. PubMed ID: 36115103
[TBL] [Abstract][Full Text] [Related]
15. Discrimination of Transgenic Canola (
Sohn SI; Pandian S; Zaukuu JZ; Oh YJ; Park SY; Na CS; Shin EK; Kang HJ; Ryu TH; Cho WS; Cho YS
Int J Mol Sci; 2021 Dec; 23(1):. PubMed ID: 35008646
[TBL] [Abstract][Full Text] [Related]
16. [Study of near infrared spectral preprocessing and wavelength selection methods for endometrial cancer tissue].
Zhao LT; Xiang YH; Dai YM; Zhang ZY
Guang Pu Xue Yu Guang Pu Fen Xi; 2010 Apr; 30(4):901-5. PubMed ID: 20545127
[TBL] [Abstract][Full Text] [Related]
17. A Lightweight convolutional neural network for nicotine prediction in tobacco by near-infrared spectroscopy.
Wang D; Zhao F; Wang R; Guo J; Zhang C; Liu H; Wang Y; Zong G; Zhao L; Feng W
Front Plant Sci; 2023; 14():1138693. PubMed ID: 37251760
[TBL] [Abstract][Full Text] [Related]
18. Optimization of diffuse reflectance spectroscopy measurements for direct and rapid screening of pesticides: A case study of spinach.
Ndung'u CN; Kaniu MI; Wanjohi JM
Spectrochim Acta A Mol Biomol Spectrosc; 2022 Nov; 280():121556. PubMed ID: 35772198
[TBL] [Abstract][Full Text] [Related]
19. [Method for the Discrimination of the Variety of Potatoes with Vis/NIR Spectroscopy].
Chen ZG; Li X; Fan X
Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Aug; 36(8):2474-8. PubMed ID: 30074349
[TBL] [Abstract][Full Text] [Related]
20. Frequency-range optimized preprocessing methods for quantitative analysis of glucose in blood serum from broadband dielectric spectra.
Rui Wang ; Nakamura M; Tanaka Y; Tajima T
Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():1575-1578. PubMed ID: 29060182
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
