Sustainability in wood products: a new perspective for handling natural diversity
M Schubert, G Panzarasa, I Burgert - Chemical Reviews, 2022 - ACS Publications
Wood is a renewable resource with excellent qualities and the potential to become a key
element of a future bioeconomy. The increasing environmental awareness and drive to …
element of a future bioeconomy. The increasing environmental awareness and drive to …
The role of artificial neural networks in prediction of mechanical and tribological properties of composites—a comprehensive review
The artificial neural network (ANN) approach motivated by the biological nervous system is
an inspiring mathematical tool that simulates many complicated engineering applications …
an inspiring mathematical tool that simulates many complicated engineering applications …
An artificial neural network model for predicting compression strength of heat treated woods and comparison with a multiple linear regression model
This paper aims to design an artificial neural network model to predict compression strength
parallel to grain of heat treated woods, without doing comprehensive experiments. In this …
parallel to grain of heat treated woods, without doing comprehensive experiments. In this …
Pre- and/or Postharvest Silicon Application Prolongs the Vase Life and Enhances the Quality of Cut Peony (Paeonia lactiflora Pall.) Flowers
Peony is an important ornamental plant and has become increasingly popular for cut flower
cultivation. However, a short vase life and frequent poor vase quality severely restrict its …
cultivation. However, a short vase life and frequent poor vase quality severely restrict its …
Artificial neural network and regression models for performance prediction of abrasive waterjet in rock cutting
An experimental study is carried out for modeling the rock cutting performance of abrasive
waterjet. Kerf angle (KA) is considered as a performance criteria and modeled using artificial …
waterjet. Kerf angle (KA) is considered as a performance criteria and modeled using artificial …
Artificial neural network and partial least square regressions for rapid estimation of cellulose pulp dryness based on near infrared spectroscopic data
LR Costa, GHD Tonoli, FR Milagres, PRG Hein - Carbohydrate polymers, 2019 - Elsevier
The content of water in fiber suspension and affects pulp refining, bleaching and draining
operations. Cellulose pulp dryness estimate through near infrared (NIR) spectroscopy …
operations. Cellulose pulp dryness estimate through near infrared (NIR) spectroscopy …
Regression and ANN models for predicting MOR and MOE of heat-treated fir wood
AR Haftkhani, F Abdoli, A Sepehr… - Journal of Building …, 2021 - Elsevier
Modulus of rupture (MOR) and modulus of elasticity (MOE) of heat-treated fir wood (abies
sp) were predicted by simple and multiple regression and artificial neural network (ANN) …
sp) were predicted by simple and multiple regression and artificial neural network (ANN) …
Comparison of artificial neural network and multiple linear regression models to predict optimum bonding strength of heat treated woods
In this study, an artificial neural network (ANN) model was developed for predicting an
optimum bonding strength of heat treated woods. The MATLAB Neural Network Toolbox was …
optimum bonding strength of heat treated woods. The MATLAB Neural Network Toolbox was …
Performance prediction of diamond sawblades using artificial neural network and regression analysis
This paper is concerned with the application of artificial neural networks (ANNs) and
regression analysis for the performance prediction of diamond sawblades in rock sawing. A …
regression analysis for the performance prediction of diamond sawblades in rock sawing. A …
Failure load prediction of adhesively bonded GFRP composite joints using artificial neural networks
There are different process parameters of bonding joints in the literature. The main objective
of the paper was to investigate the effects of bonding angle, composite lay-up sequences …
of the paper was to investigate the effects of bonding angle, composite lay-up sequences …