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16 ta ish

Ish: A Concentration-Invariant FTIR Chemometric Workflow with Peak-Sparse Representation and Machine-Learning Classification

  1. Smoothing and Differentiation of Data by Simplified Least Squares Procedures.

    Abraham Savitzky, Marcel J. E. Golay

    Maqola196411 iqtibos
    ABI

  2. Baseline correction using asymmetrically reweighted penalized least squares smoothing

    Sung‐June Baek, Aaron Park, Young‐Jin Ahn +1

    Maqola20142 iqtibos
    ABI

  3. Machine Learning-Empowered FTIR Spectroscopy Serum Analysis Stratifies Healthy, Allergic, and SIT-Treated Mice and Humans

    Elke Korb, Murat Bağcıoğlu, Erika Garner‐Spitzer +3

    Maqola20202 iqtibos
    ABI

  4. A guide to good practice in chemometric methods for vibrational spectroscopy, electrochemistry, and hyphenated mass spectrometry

    Manuel David Peris‐Díaz, Artur Krężel

    Maqola20202 iqtibos
    ABI

  5. Insights on the role of chemometrics and vibrational spectroscopy in fruit metabolite analysis

    Yasmina Sultanbawa, Heather E. Smyth, Khai N. Truong +2

    Sharh maqola20212 iqtibos
    ABI

  6. Recent advances of vibrational spectroscopy and chemometrics for forensic biological analysis

    Ayari Takamura, Takeaki Ozawa

    Sharh maqola20212 iqtibos
    ABI

  7. ATR-FTIR Spectroscopy Combined with Chemometric Methods for the Classification of Polyethylene Residues Containing Different Contaminants

    Daniel José da Silva, Hélio Wiebeck

    Maqola20222 iqtibos
    ABI

  8. Machine Learning Systems Detecting Illicit Drugs Based on Their ATR-FTIR Spectra

    Iulia-Florentina Darie, Stefan R. Anton, Mirela Praisler

    Maqola20232 iqtibos
    ABI

  9. Process Analytical Technology (PAT) Model Lifecycle Management

    Larry McDermott

    Maqola20232 iqtibos
    ABI

  10. A Review of Machine Learning Methods Recently Applied to FTIR Spectroscopy Data for the Analysis of Human Blood Cells

    Ahmed Fadlelmoula, Susana O. Catarino, Graça Minas +1

    Sharh maqola20232 iqtibos
    ABI

  11. ATR-FTIR combined with machine learning for the fast non-targeted screening of new psychoactive substances

    Yu Du, Zhendong Hua, Cuimei Liu +3

    Maqola20232 iqtibos
    ABI

  12. Spectraformer: deep learning model for grain spectral qualitative analysis based on transformer structure

    Zhuo Chen, Ri-gui Zhou, Pengju Ren

    Maqola20242 iqtibos
    ABI

  13. A Review of the Latest Research Applications Using FT-IR Spectroscopy

    Jerome Workman

    Sharh maqola20242 iqtibos
    ABI

  14. FTIR spectroscopy combined with machine learning for the classification of Mediterranean honey based on origin

    Dafni Dimakopoulou‐Papazoglou, Salud Serrano, Inmaculada Rodríguez +3

    Maqola20252 iqtibos
    ABI

  15. Versatile machine learning algorithms for FTIR spectroscopy: differentiating crosslinked and non-crosslinked gelatin samples

    Juliana Rincón‐López, Eliana Álvarez-Valdés, Daniela Velez-Arango +6

    Maqola20252 iqtibos
    ABI

  16. Sarlavhasiz

    Boshqa1 iqtibos
    ABI