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Sebahattin Tiryaki, Selahattin Bardak & Timuçin Bardak. (2015) Experimental investigation and prediction of bonding strength of Oriental beech (Fagus orientalis Lipsky) bonded with polyvinyl acetate adhesive. Journal of Adhesion Science and Technology 29:23, pages 2521-2536.
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Anders Lycken & Johan Oja. (2006) A multivariate approach to automatic grading of Pinus sylvestris sawn timber. Scandinavian Journal of Forest Research 21:2, pages 167-174.
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Yasushi Minowa. (2005) Classification rules discovery from selected trees for thinning with the C4.5 machine learning system. Journal of Forest Research 10:3, pages 221-231.
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Luis G. Esteban, Paloma de Palacios, María Conde, Francisco G. Fernández, Alberto García-Iruela & Marta González-Alonso. (2017) Application of artificial neural networks as a predictive method to differentiate the wood of Pinus sylvestris L. and Pinus nigra Arn subsp. salzmannii (Dunal) Franco. Wood Science and Technology 51:5, pages 1249-1258.
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Sebahattin Tiryaki, Abdulkadir Malkoçoğlu & Şükrü Özşahin. (2014) Using artificial neural networks for modeling surface roughness of wood in machining process. Construction and Building Materials 66, pages 329-335.
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Sukru Ozsahin. (2013) Optimization of process parameters in oriented strand board manufacturing with artificial neural network analysisOptimierung von Prozessparametern bei der OSB-Herstellung mittels künstlicher neuronaler Netzwerke. European Journal of Wood and Wood Products 71:6, pages 769-777.
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Erik Johansson, Dennis Johansson, Johan Skog & Magnus Fredriksson. (2013) Automated knot detection for high speed computed tomography on Pinus sylvestris L. and Picea abies (L.) Karst. using ellipse fitting in concentric surfaces. Computers and Electronics in Agriculture 96, pages 238-245.
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Qiang WeiBrigitte LeblonArmand La Rocque. (2011)
On the use of X-ray computed tomography for determining wood properties: a review
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This article is a contribution to the series The Role of Sensors in the New Forest Products Industry and Bioeconomy.
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Luis García Esteban, Francisco García Fernández & Paloma de Palacios. (2011) Prediction of plywood bonding quality using an artificial neural network. Holzforschung 65:2.
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Ping Xu. (2010) Should we consider a new approach? Detecting grain deviation caused by knots within stems. Forestry Studies in China 12:2, pages 101-105.
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Luis García Esteban, Francisco García Fernández & Paloma de Palacios. (2009) MOE prediction in Abies pinsapo Boiss. timber: Application of an artificial neural network using non-destructive testing. Computers & Structures 87:21-22, pages 1360-1365.
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Qiang Wei, Shu Yin Zhang, Ying Hei Chui & Brigitte Leblon. (2009) Reconstruction of 3D images of internal log characteristics by means of successive 2D log computed tomography images. Holzforschung 63:5.
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Qiang Wei, Ying Hei Chui, Brigitte Leblon & Shu Yin Zhang. (2009) Identification of selected internal wood characteristics in computed tomography images of black spruce: a comparison study. Journal of Wood Science 55:3, pages 175-180.
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Qiang Wei, Brigitte Leblon, Ying Hei Chui & Shu Yin Zhang. (2008) Identification of selected log characteristics from computed tomography images of sugar maple logs using maximum likelihood classifier and textural analysis. Holzforschung 62:4.
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Gerson Rojas, Alfonso Condal, Robert Beauregard, Daniel Verret & Roger E. Hernández. (2006) Identification of internal defect of sugar maple logs from CT images using supervised classification methodsErkennung innerer Fehler in Stammabschnitten von Zuckerahorn mit vorwissensbasierter Auswertung von CT-Bildern. Holz als Roh- und Werkstoff 64:4, pages 295-303.
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Yasushi MINOWA, Norifumi SUZUKI & Kazuhiro TAnAKA. (2005) Estimation of Site Indices with a Machine Learning System C4.5機械学習システムC4.5を用いた地位指数の推定. Japanese Journal of Forest Planning 39:2, pages 143-156.
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Yasushi MINOWA, Norifumi SUZUKI & Kazuhiro TANAKA. (2005) Estimation of Site Indices with an Artificial neural Networkニューラルネットワークを応用した地位指数の推定. Japanese Journal of Forest Planning 39:1, pages 23-38.
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