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

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

Visible-Near Infrared Spectroscopy and Chemometric Methods for Wood Density Prediction and Origin/Species Identification

(2019) Ying Li et al.   Forests

Regional calibration models for predicting loblolly pine tracheid properties using near-infrared spectroscopy

(2018) Mohamad Nabavi et al.   WOOD SCIENCE AND TECHNOLOGY

Non-destructive evaluation of wood stiffness and fiber coarseness, derived from SilviScan data, via near infrared hyperspectral imaging

(2018) Te Ma et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

Calibration of SilviScan data of Cryptomeria japonica wood concerning density and microfibril angles with NIR hyperspectral imaging with high spatial resolution

(2017) Te Ma et al.   HOLZFORSCHUNG

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

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

(2012) Armando Fernandes et al.   HOLZFORSCHUNG

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

Regional variation in wood specific gravity of planted loblolly pine in the United States

(2008) Lewis Jordan et al.   CANADIAN JOURNAL OF FOREST RESEARCH

A Review of Genetic Algorithms in near Infrared Spectroscopy and Chemometrics: Past and Future

(2008) Janne Koljonen et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY