The scikit-learn-native foundation package for chemometrics 🧪 🤖
Edge-AI firmware using an ESP32 and AS7263 NIR spectrometer to stream spectral data via Gemini API for non-destructive watermelon ripeness detection
🔬 Enable calibration transfer in vibrational spectroscopy using self-supervised learning to reduce labeled samples and correct instrument differences.
Private review dataset for PlumSPECTRA: analysis-ready spectra, phenotypes, folds, and out-of-fold predictions.
Private model-release staging for PlumSPECTRA trait-specific NIR ensembles and deployment metadata.
Demonstrar que a fusão de dados espectrais e genômicos pode aumentar significativamente a acurácia da predição fenotípica, contribuindo para decisões mais eficientes em programas de seleção
Multispectral NIR classification of 11 plastic types: 9-channel ResNet-18 vs. XGBoost on spectral intensity features
NIR spectroscopy-based moisture prediction using PLS, SVR, ANN, and spectral preprocessing techniques.
Closed-form classical surrogate for the ZZ quantum feature map: the induced metric is I + π²Q, the signless Laplacian of the entanglement graph. Code and data for the paper.
SpectraGryph-inspired desktop spectroscopy viewer & processor (PySide6 + pyqtgraph): FTIR/Raman/UV-Vis/NIR/XRF, baseline/smoothing/chemometrics, peak finding & Gaussian/Lorentzian/Voigt fitting, JCAMP-DX/SPC/OPUS IO.
To associate your repository with the nir-spectroscopy topic, visit your repo's landing page and select "manage topics."