Investigation of multivariate analysis of surface-enhanced Raman scattering spectra using simple machine-learning models: prediction of the composition of mixed self-assembled monolayer on gold surface
Open accessPublished version of a preprint
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
Ordóñez, F., & Roggen, D. (2016) · Sensors · doi:10.3390/s16010115 · Cited by 2,761 · cited 1× · see citing works
“Machine-learning techniques are employed in various fields (Ordóñez and Roggen 2016; Kratzwald et al. 2018; Zhao et al. 2019).”
John‐Herpin, A., Kavungal, D., von Mücke, L., & Altug, H. (2021) · Advanced Materials · doi:10.1002/adma.202006054 · Cited by 124 · see citing works
Flagged first, then by citations
- Authors
- Nishitsuji, R., Kawasaki, D., Nakashima, T., Sueyoshi, K., Hisamoto, H., & Endo, T.
- Affiliations
- Osaka Metropolitan University (JP)
- RIKEN (JP)
- Japan Science and Technology Agency (JP)
- Corresponding author
- Endo, Tatsuro
- Venue
- Soft Computing
- Published
- 2026-06-19
- Volume
- 30
- Issue
- 7
- Pages
- 4909-4918
- ISSN
- 1432-7643 (ISSN-L)
- 1433-7479
- OpenAlex
- W4388441831
- Cited by
- 0
- References
- 2
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Soft Computing (publishedVersion)
- Research Square (acceptedVersion, cc-by)
- Funders
- Japan Society for the Promotion of Science (22K18760, 22H03941)
- Topics
- Physical Sciences › Materials Science › Electronic, Optical and Magnetic Materials › Gold and Silver Nanoparticles Synthesis and Applications
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Keywords
- surface-enhanced Raman scattering, self-assembled monolayers, gold nanostructures, linear discriminant analysis, multivariate spectral analysis, machine learning prediction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
