Results 1 to 10 of about 6,804 (186)
A PLSR model to predict soil salinity using Sentinel-2 MSI data
Salinization is one of the most widespread environmental threats in arid and semi-arid regions that occur either naturally or artificially within the soil. When exceeding the thresholds, salinity becomes a severe danger, damaging agricultural production,
Ghada Sahbeni
exaly +2 more sources
Reduced PCR/PLSR models by subspace projections [PDF]
Abstract Latent variables models used in principal component regression (PCR) or partial least squares regression (PLSR) often use a high number of components, and this makes interpretation of score and loading plots difficult. These plots are essential parts of multivariate modeling, and there is therefore a need for a reduction of the number of ...
Rolf Érgon
exaly +3 more sources
Rapid detection method of soybean seed germination potential based on the PLSR-MLP fusion model [PDF]
In order to realize the rapid detection of soybean seed germination potential, this study designed a fusion model to solve the problem that the single model was insufficient in spectral feature analysis and the prediction performance was limited.
Shuo Liu, Zhengguang Chen
doaj +2 more sources
A family of regression methods derived from standard PLSR [PDF]
The standard PLSR is presented from a geometric point of view consisting of two projections. In the first, the scores are obtained after an oblique projection of the spectra onto the loadings. In the second, the vector of response values is projected orthogonally onto the scores. A metric is introduced for the oblique projection and a new algorithm for
Jean-Claude Boulet, Jean-Michel Roger
exaly +5 more sources
مدلسازی رقومی جزء شن خاک با دادههای ابرطیفی [PDF]
سابقه و هدف: جزء شن از مهمترین اجزای بافت خاک بوده که برای عملیات مدلسازی زیستمحیطی و پهنهبندی رقومی خاک، باید مورد توجه واقع شود. از طرفی، بدلیل تغییرپذیری مکانی این جزء؛ تشخیص، پهنهبندی و پایش آن، در مقیاسهای وسیع، با استفاده از شیوههای سنتی رایج
مجید دانش +1 more
doaj +1 more source
An Modified PLSR Method in Prediction
Among many statistical methods for linear models with the mul- ticollinearity problem, partial least squares regression (PLSR) has become, in recent years, increasingly popular and, very often, the best choice. How- ever, while dealing with the predicting problem from automobile market, we noticed that the results from PLSR appear unstable though it is
Bo Cheng, Xizhi Wu
openaire +1 more source
Butterfly-pea (Clitoria ternatea L.) extract powder is a functional product with numerous benefits obtained by extraction followed by the drying process.
Rahmawati Laila +3 more
doaj +1 more source
Abstract During preservation of nuts, nut oils are easily oxidized; hence, peroxide value (PV) is an important evaluation index. In this study, a novel method for the determination of the PV of nuts based on partial-least-square regression (PLSR) and Forest random PLSR (RF-PLSR) model was established. Meanwhile, the Raman spectrum was processed by 24
Cheng Wang +7 more
openaire +1 more source
Secoiridoids could be used as a potential new drug for the treatment of hepatic disease. The content of secoiridoids of G. rigescens varied in different geographical origins and parts.
Yuangui Yang +5 more
doaj +1 more source
Abstrak. Minyak nilam merupakah salah satu minyak atsiri yang menyumbangkan devisa bagi negara. Komponen utama dalam minyak adalah Patchouli Alkohol (PA). Salah satu parameter yang menentukan kualitas minyak nilam adalah kadar PA.
Risqa Mutha Dina +5 more
doaj +1 more source

