Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 21 for “"PLS regression"”.
-
Inferences on high-dimensional data
… techniques are important in the problem of regression and prediction when the nominal number of predicting variables is greater than the number of observations. Two methods, principal components analysis (PCA) and partial least squares (PLS), are used for regression and classification. We …
-
MULTIVARIATE CALIBRATION FOR ICP-AES
… comparison, the multivariate calibration method (PLSl) yielded average relative errors for Pt, Pd, and RJi of 5.8, 3.0, and 3.5 % in the test solutions, and 32.0, 7.5, and 75.0 % in the autocatalyst samples. A variable selection procedure has been developed enabling multivariate models to be built …
-
Hierarchical Variation in Cellulose Decomposition Across Southern Ontario Reference Streams
… effects model (LMEM). A partial least squares (PLS) regression analysis was performed to identify environmental variables associated with decomposition patterns. I found that variance associated with each successive spatial scale was seasonally dependent, and that temperature was the source of …
-
Using machine learning to predict gene expression and discover sequence motifs
… which is based on partial least squares (PLS) regression, is able to directly model the flow of information, from gene sequence to gene expression, to learn cis regulatory motifs and characterize associated gene expression patterns. Our algorithm outperforms traditional computational …
-
Proteomics approach to investigate separation behavior of proteins in ion-exchange chromatography
… (CEC) using partial least squares (PLS) regression. The resulting models fit well (R2=0.913 and 0.873 for SP and 15S, respectively) considering the limited property basis and the regression models were able to predict results for a small test set of proteins. The models showed that …
-
Effects of Extracellular Polymeric Substance Composition on Bacteria Disinfection by Monochloramine
… analysis (CCA) and partial least square (PLS) regression modeling were employed to explore the changes that EPS underwent during the monochloramine disinfection process. The analyses results suggested the reactions of peptide fragments of proteins that are associated with previously …
-
NIR hyperspectral imaging for animal feed ingredient applications
… two NIR instruments in most of the wavelengths. Regression coefficients from soybean meal protein model calibration highlighted the similarities in the contributing variables of the three instruments. In our second study, lysine concentration was determined in soybean meal and dried distillers’ …
-
Development of national extent terrain attributes (TANZ), soil water balance surfaces (SWatBal), and environmental surfaces, and their application for spatial modelling of Pinus radiata productivity across New Zealand
… storage requirements. A partial least squares (PLS) regression technique was used to develop the surfaces of (i) stem volume mean annual increment at age thirty years for a defined reference regime of 300 stems ha-1 (300 Index), and (ii) mean top height at age twenty (Site Index) using TANZ, …
-
The Distribution of Cotton Fiber Length
… are discussed by using Partial Least Squares (PLS) regression, where the dis-tribution of the original fiber length from the distribution of the projected one is estimated.</p>
-
Evaluation of a Permittivity Sensor for Continuous Monitoring of Suspended Sediment Concentration
… Fixed and mixed effect, multiple, linear regression models were created and compared for target frequencies. However, it was not possible to meet the normality requirements for prediction accuracy. Partial Least Squares (PLS) regression techniques were also applied to gain and phase data …
-
Rapid identification of oil contaminated soils using visible near infrared diffuse reflectance spectroscopy
… (TPH) content using partial least squares (PLS) regression and boosted regression tree (BRT) models. The field-moist intact scan proved best for predicting TPH content with a validation r2 of 0.64 and relative percent difference (RPD) of 1.70. Those 46 samples were used to calibrate a …
-
Quantification of swelling clays in mineral mixtures and rocks using infrared spectroscopy.
… of a chemometric method, partial least squares (PLS) regression and the infrared technique, diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) was developed for the quantification of minerals in synthetic mixtures and sandstone rocks. Particular emphasis was directed towards …
-
Characterization of spray dried powders by near infrared spectroscopy
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-05-01
-
Assessing the effectiveness of Tuberculosis infection control in public healthcarefacilities in the Khomas region
… the study used Partial Least Squares (PLS) regression analysis to determine the strength of each relationship hypothesized by the study model. Ethical consideration adhered to in the study. The findings revealed a positive influence of organizational processes and employee skills …
-
Determinazione delle proprietà del petrolio tramite spettroscopia 1H-NMR e analisi chemiometrica
… on complex systems, as crude oils, chemometric regression techniques as partial least squares (PLS) have been developed. The proton NMR spectra of neat crude samples have been recorded using a 300-MHz laboratory spectrometer. PLS regression models for prediction were built using analytical data …
-
Twin screw extrusion pre-treatment of wheat straw for biofuel and lignin biorefinery applications
… of different pre-treatment conditions. The PLS regression models for both FTIR and FT-NIR showed good statistical regression and predictive ability correlated to the glucose yield. For the lignin ultilisation study, crude lignin was recovered from black liquor and fractionated with solvents. …
-
A cross-species network science approach to childhood adversity
… Chapter 3. A data-driven partial least squares (PLS) regression shows that no early experiences of adversity predict brain wiring parameters in young adulthood. Sensitivity analyses confirm the robustness of this null finding, for which I find some previous support in the literature. Finally, in …
-
Milk protein adulteration detection via mass spectra and infrared spectroscopy
… adulterant. The developed partial least square (PLS) regression showed good performance of ATR-FTIR to predict eNPN (R2 = 0.70, RMSE = 0.06 g/100 g of full cross-validation). The addition of adulterants to milk increased the eNPN level for all samples and ranged from 0.04 to 0.37 g/100 g. Based …
-
Mid-Infrared Spectral Characterization of Aflatoxin Contamination in Peanuts
Contamination of peanuts by secondary metabolites of certain fungi, namely aflatoxins present a great health hazard when exposed either at low levels for prolonged times (carcinogenic) or at high levels at once (poisonous). It is important to develop an accurate and rapid measurement technique to …
-
Structural and functional brain plasticity for statistical learning
… two imaging modalities using graph theory and regression analyses to identify key predictors of individual learning performance. Using a prediction task in the context of sequence learning without explicit feedback, I demonstrate that individuals adapt to the environment’s statistics as they …
Page 1 of 2