Control of system parameters by estimating screw withdrawal strength values of particleboards using artificial neural network-based statistical control charts

Optimization of production parameters of particle gluing on internal bonding strength of particleboards using machine learning technology

(2022) Beilong Zhang et al.   JOURNAL OF WOOD SCIENCE

Interaction between particle size and mixing ratio on porosity and properties of tea oil camellia (Camellia oleifera Abel.) shells-based particleboard

(2022) Kamran Choupani Chaydarreh et al.   JOURNAL OF WOOD SCIENCE

A new CUSUM control chart under uncertainty with applications in petroleum and meteorology

(2021) Muhammad Aslam et al.   PLoS One

Çok Katlı Sıcak Presin Yonga Levhanın Mekanik Özelliklerine Etkisi

(2021) Osman ÇAMLIBEL   Turkish Journal of Agricultural and Natural Sciences

Difficulty of internal bond prediction of particleboard using the density profile

(2021) Hideaki Korai   JOURNAL OF WOOD SCIENCE

Türkiye Mobilya Sektörü Dış Ticaret Verilerinin Yapay Sinir Ağları İle Değerlendirilmesi

(2021) Erol İMREN et al.   Bartin Orman Fakultesi Dergisi

Average Run Length on CUSUM Control Chart for Seasonal and Non-Seasonal Moving Average Processes with Exogenous Variables

(2020) Rapin Sunthornwat et al.   Symmetry-Basel

Modelling sound absorption properties of broom fibers using artificial neural networks

(2020) Gino Iannace et al.   APPLIED ACOUSTICS

Application of integrated recurrent neural network with multivariate adaptive regression splines on SPC-EPC process

(2020) Ling-Jing Kao et al.   JOURNAL OF MANUFACTURING SYSTEMS

Trace Metal Composition of Bulk Precipitation in Selected Locations of Kandy District, Sri Lanka

(2020) I. M. S. K. Rathnayaka et al.   WATER AIR AND SOIL POLLUTION

Estimating modulus of elasticity (MOE) of particleboards using artificial neural networks to reduce quality measurements and costs

(2019) Rıfat Kurt et al.   Drvna Industrija

Physical and mechanical properties of composites made from bamboo and woody wastes in Taiwan

(2019) Min Jay Chung et al.   JOURNAL OF WOOD SCIENCE

Concrete compressive strength using artificial neural networks

(2019) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Predicting the Impacts of Various Factors on Failure Load of Screw Joints for Particleboard Using Artificial Neural Networks

(2018) Selahattin Bardak   BioResources

Application of the artificial neural network method to detect defective assembling processes by using a wearable technology

(2018) Ilker Kucukoglu et al.   JOURNAL OF MANUFACTURING SYSTEMS

Estimation of Physical and Mechanical Properties of Composite Board via Adaptive Neural Networks, Polynomial Curve Fitting, and the Adaptive Neuro-Fuzzy Inference System

(2016) Hasan Hüseyin Taş et al.   BioResources

Facial soft tissue thicknesses in Bulgarian adults: relation to sex, body mass index and bilateral asymmetry

(2015) Diana Toneva et al.   FOLIA MORPHOLOGICA

Improve regression-based models for prediction of internal-bond strength of particleboard using Buckingham’s pi-theorem

(2013) Akbar Rostampour Haftkhani et al.   JOURNAL OF FORESTRY RESEARCH

Manufacturing particleboard panels from betel palm (Areca catechu Linn.)

(2007) Cheng Jung Lin et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY