Tag
4 articles tagged literature.
Recent peer-reviewed work on transfer learning in Raman and NIR classifier training reports real gains on small labelled sets, but the cross-instrument and cross-matrix picture is still uneven.
Three recent papers shift the calibration-transfer conversation: a low-rank fine-tuning method for deep Raman models, a vendor-to-vendor PDS/SST study, and single-compound shortcuts that sidestep paired transfer sets.
Six recent reviews map where hyperspectral imaging now sits as a process-analytics tool in pharma, food, recycling, and beyond - and where chemometrics, data hunger, and standards still hold it back.
Five recent papers sketch where deep-learning chemometrics sits versus PLS for process Raman: a public bioprocess benchmark, two classifier benchmarks, self-supervised pre-training, and an explainability tool for GMP.