On the selection of the weighting parameter value in optimizing Eucalyptus globulus pulp yield models based on NIR spectra

Utilization of genetic algorithms to optimize loblolly pine wood property models based on NIR spectra and SilviScan data

(2022) Tu X. Ho et al.   WOOD SCIENCE AND TECHNOLOGY

Utilization of genetic algorithms to optimize Eucalyptus globulus pulp yield models based on NIR spectra

(2021) Tu X. Ho et al.   WOOD SCIENCE AND TECHNOLOGY

Classification and characterization of thermally modified timber using visible and near-infrared spectroscopy and artificial neural networks: a comparative study on the performance of different NDE methods and ANNs

(2019) Vahid Nasir et al.   WOOD SCIENCE AND TECHNOLOGY

Non-Destructive Evaluation Techniques and What They Tell Us about Wood Property Variation

(2019) Laurence Schimleck et al.   Forests

A review of recent application of near infrared spectroscopy to wood science and technology

(2015) Satoru Tsuchikawa et al.   JOURNAL OF WOOD SCIENCE

Optimization of the multivariate calibration of a Vis–NIR sensor for the on-line monitoring of marine diesel engine lubricating oil by variable selection methods

(2013) Alberto Villar et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Combining radial basis function surrogates and dynamic coordinate search in high-dimensional expensive black-box optimization

(2012) Rommel G. Regis et al.   ENGINEERING OPTIMIZATION

Measurement of intra-ring wood density by means of imaging VIS/NIR spectroscopy (hyperspectral imaging)

(2012) Armando Fernandes et al.   HOLZFORSCHUNG

Measurement of cellulose content, Kraft pulp yield and basic density in eucalypt woodmeal using multisite and multispecies near infra-red spectroscopic calibrations

(2012) G M Downes et al.   Southern Forests

A Review of Band Assignments in near Infrared Spectra of Wood and Wood Components

(2011) Manfred Schwanninger et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

Kernel regression methods for the prediction of wood properties of Pinus taeda using near infrared spectroscopy

(2009) Christian R. Mora et al.   WOOD SCIENCE AND TECHNOLOGY