Identifying Early Indicators of Tail Biting in Pigs by Variable Selection Using Partial Least Squares Regression. [PDF]
Animals (Basel), 2022 Drexl V +4 more
europepmc +1 more source
Survival Outcomes in Older Adults with Axial Spondyloarthritis and Concomitant Cancer
Arthritis Care &Research, Accepted Article.Objective The objective of this study was to determine survival outcomes in older adults with axial spondyloarthritis (axSpA) and concomitant cancer. Methods We conducted a population‐based study using Medicare claims data linked to Surveillance, Epidemiology, and End Results data to determine overall survival (OS) and cancer‐specific survival (CSS) in
Savannah Bowman +7 more
wiley +1 more source
The Utilization of Partial Least Squares for Simultaneous Feature Selection and Extraction
Revstat Statistical JournalSeveral works concerning the utilization of Partial Least Squares as a supervised dimension reduction technique have been developed over the years in the field of chemometrics, among others, for regression purposes. However, Partial Least Squares can be
Elisavet Beki, Ntotsis Kimon
doaj
Development of Distillation Sensors for Spirit Beverages Production Monitoring Based on Impedance Spectroscopy Measurement and Partial Least-Squares Regression. [PDF]
ACS Omega, 2023 Zeng L +5 more
europepmc +1 more source
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Neural network ensemble model for prediction of erythrocyte sedimentation rate (ESR) using partial least squares regression. [PDF]
Sci Rep, 2022 Lee J, Hong H, Song JM, Yeom E.
europepmc +1 more source
Optimization of the Production of Rubber Compounds Using Mathematical Models
Advanced Engineering Materials, EarlyView.Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle +7 more
wiley +1 more source
Aquaculture and FisheriesUnderstanding the factors of fish and fishery products consumption is important for various operators in the fisheries industry. The knowledge of the determinants of fish and fishery products consumption might provide insights to them on what course of ...
Sakiru Adebola Solarin +2 more
doaj +1 more source
Identification of aged-rice adulteration based on near-infrared spectroscopy combined with partial least squares regression and characteristic wavelength variables. [PDF]
Food Chem X, 2023 Li Z +7 more
europepmc +1 more source