Асосий контентга ўтиш
AkademIndex

Маҳсулотлар

Ишлаб чиқувчилар учун

AkademBaseЭкотизим учун очиқ API
← Ишга қайтиш

Ушбу иш иқтибос қилган ишлар

18 та иш

Иш: A concentration-invariant FTIR chemometric workflow for closed-library compound identification 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

    Мақола196411 иқтибос
    ABI

  2. Baseline correction using asymmetrically reweighted penalized least squares smoothing

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

    Мақола20142 иқтибос
    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

    Мақола20202 иқтибос
    ABI

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

    Manuel David Peris‐Díaz, Artur Krężel

    Мақола20202 иқтибос
    ABI

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

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

    Шарҳ мақола20212 иқтибос
    ABI

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

    Ayari Takamura, Takeaki Ozawa

    Шарҳ мақола20212 иқтибос
    ABI

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

    Daniel José da Silva, Hélio Wiebeck

    Мақола20222 иқтибос
    ABI

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

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

    Мақола20232 иқтибос
    ABI

  9. Process Analytical Technology (PAT) Model Lifecycle Management

    Larry McDermott

    Мақола20232 иқтибос
    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

    Шарҳ мақола20232 иқтибос
    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

    Мақола20232 иқтибос
    ABI

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

    Zhuo Chen, Ri-gui Zhou, Pengju Ren

    Мақола20242 иқтибос
    ABI

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

    Jerome Workman

    Шарҳ мақола20242 иқтибос
    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

    Мақола20252 иқтибос
    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

    Мақола20252 иқтибос
    ABI

  16. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  17. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  18. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI