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

Acoustic emission monitoring of sawing process: artificial intelligence approach for optimal sensory feature selection

(2019) Vahid Nasir et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Stress wave evaluation for predicting the properties of thermally modified wood using neuro-fuzzy and neural network modeling

(2019) Vahid Nasir et al.   HOLZFORSCHUNG

Non-Destructive Methodology to Determine Modulus of Elasticity in Static Bending of Quercus mongolica Using Near-Infrared Spectroscopy

(2018) Hao Liang et al.   SENSORS

Stress wave evaluation by accelerometer and acoustic emission sensor for thermally modified wood classification using three types of neural networks

(2018) Vahid Nasir et al.   European Journal of Wood and Wood Products

Prediction of physical and mechanical properties of thermally modified wood based on color change evaluated by means of “group method of data handling” (GMDH) neural network

(2018) Vahid Nasir et al.   HOLZFORSCHUNG

Classification of thermally treated wood using machine learning techniques

(2018) Vahid Nasir et al.   WOOD SCIENCE AND TECHNOLOGY

Wood modification technologies - a review

(2017) D Sandberg et al.   iForest-Biogeosciences and Forestry

Assessing Trees, Wood and Derived Products with near Infrared Spectroscopy: Hints and Tips

(2016) Jakub Sandak et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

Estimation of physical and mechanical properties of timber members in service by means of infrared spectroscopy

(2015) Anna Sandak et al.   CONSTRUCTION AND BUILDING MATERIALS

Quality control methods for thermally modified wood

(2015) Wim Willems 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

Estimation of quality of thermally modified beech wood with red heartwood by FT-NIR spectroscopy

(2015) Nebojša Todorović et al.   WOOD SCIENCE AND TECHNOLOGY

Analysis and prediction of selected mechanical/dynamic properties of wood after short and long-term waterlogging

(2014) Mariapaola Riggio et al.   CONSTRUCTION AND BUILDING MATERIALS

Effects of thermal treatment on chemical, mechanical and colour traits in Norway spruce wood

(2013) Danica Kačíková et al.   BIORESOURCE TECHNOLOGY

Classification of thermally modified wood by FT-NIR spectroscopy and SIMCA

(2012) Helmut Bächle et al.   WOOD SCIENCE AND TECHNOLOGY

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

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

Wet-pocket classification in Abies lasiocarpa using spectroscopy in the visible and near infrared range

(2010) Ken Watanabe et al.   European Journal of Wood and Wood Products

Near infrared spectroscopic investigation of the thermal degradation of wood

(2010) Ranjana Mehrotra et al.   THERMOCHIMICA ACTA

Evaluation of thermally modified beech and spruce wood and their properties by FT-NIR spectroscopy

(2010) Helmut Bächle et al.   WOOD SCIENCE AND TECHNOLOGY

Detection of wet-pockets on the surface of Tsuga heterophylla (Raf.) Sarg. by near infrared (NIR) spectroscopy

(2009) Ken Watanabe et al.   HOLZFORSCHUNG

Quality assessment of heat-treated wood by NIR spectroscopy

(2008) Bruno Esteves et al.   European Journal of Wood and Wood Products

Monitoring of Hydroxyl Groups in Wood during Heat Treatment Using NIR Spectroscopy

(2007) Katsuya Mitsui et al.   BIOMACROMOLECULES