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Research article

First published 2017-1

Optimisation of tool path for wood machining on CNC machines

A Petrovic, L Lukic, S Ivanovic [...]

Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science

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Research article

First published 2023-9

Optimization of wood machining parameters using artificial neural network in CNC router

Ali Cakmak, Abdulkadir Malkocoglu, Sukru Ozsahin

Materials Science and Technology

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Research article

First published 2009-10

Analytical hierarchy process for optimised choice of machines for secondary wood industries

M. Azizi

International Wood Products Journal

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Research article

First published 1999-3

Improving wood surface form by modification of the rotary machining process—a mechatronic approach

N Brown, R M Parkin

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

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Research article

First published 2013-9

Mechatronic approach towards surface quality improvement in rotary wood machining

Philips S Ogun, Michael R Jackson, Robert M Parkin

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

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Review article

First published 2021-5

Surface roughness of machined wood and advanced engineering materials and its prediction: A review

Zhao-Wei Zhong

Advances in Mechanical Engineering

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Research article

First published 2026

Experimental and machine learning studies on flexural properties of 3D-printed PLA/wood composites

Vaka Venkata Durga Sahithi, Dhanunjay Kumar Ammisetti

Journal of Reinforced Plastics and Composites

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Research article

First published 2019-1

Wavelet packet energy–based damage identification of wood utility poles using support vector machine multi-classifier and evidence theory

Yang Yu, Ulrike Dackermann, Jianchun Li [...]

Structural Health Monitoring

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Article commentary

First published 2021-12

Interpretable machine learning with an eye for the physics: Hyperspectral Vis/NIR “video” of drying wood analyzed by hybrid subspace modeling

Harald Martens

NIR news

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Research article

First published 2025-8

Light gradient-boosting machine model provides biologically realistic predictions of southern pine wood extractives content using near infrared spectroscopy hyperspectral imaging compared to artificial neural network and partial least squares regression models

Sameen Raut, Joseph Dahlen, Thomas L. Eberhardt [...]

Journal of Near Infrared Spectroscopy

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