✦ LIBER ✦

Principal Component Analysis of Diffuse Near-Infrared Reflectance Data From Paper Currency

✍ Scribed by Dale, John M.; Klatt, Leon N.

Book ID: 115361150
Publisher: Society for Applied Spectroscopy
Year: 1989
Tongue: English
Weight: 683 KB
Volume: 43
Category: Article
ISSN: 0003-7028
DOI: 10.1366/0003702894204470

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Near infra-red analysis of grass silage

Near infra-red analysis of grass silage by principal component analysis of transformed reflectance data

✍ Gerard Downey; Paul Robert; Dominique Bertrand; Marie Françoise Devaux 📂 Article 📅 1987 🏛 John Wiley and Sons 🌐 English ⚖ 554 KB

The discrimination potential of diffuse-

The discrimination potential of diffuse-reflectance ultraviolet–visible–near infrared spectrophotometry for the forensic analysis of paper

✍ Valerio Causin; Rosario Casamassima; Gaia Marruncheddu; Gioia Lenzoni; Giuseppe 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 369 KB

Recovery of reflectance spectra from col

Recovery of reflectance spectra from colorimetric data using principal component analysis embedded regression technique

✍ Tina Harifi; Seyed Hossein Amirshahi; Farnaz Agahian 📂 Article 📅 2008 🏛 Optical Society of Japan 🌐 English ⚖ 195 KB

Application of principal-component analy

Application of principal-component analysis on near-infrared spectroscopic data of vegetable oils for their classification

✍ Tetsuo Sato 📂 Article 📅 1994 🏛 Springer-Verlag 🌐 English ⚖ 581 KB

Principal component analysis, contributi

Principal component analysis, contribution plots and feature weights in the monitoring of sequential process data from a paper machine's wet end

✍ Pekka Teppola; Satu-Pia Mujunen; Pentti Minkkinen; Timo Puijola; Petri Pursiheim 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 436 KB

Data collected from a paper mill using a WIC-100 process analyzer was divided into six classes, each representing a dif-Ž . ferent kind of paper grade or quality. Each of the six classes were modeled separately by principal component analysis PCA . The score values of the calibration data, together

The prediction of apparent metabolisable

The prediction of apparent metabolisable energy content of oil seeds and oil seed by-products for poultry from its chemical components, in vitro analysis or near-infrared reflectance spectroscopy

✍ B. Losada; P. García-Rebollar; C. Álvarez; P. Cachaldora; M.A. Ibáñez; J. Méndez 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 260 KB