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

Probabilistic urban water demand forecasting using wavelet-based machine learning models

(2021) Mostafa Rezaali et al.   JOURNAL OF HYDROLOGY

Preparation and evaluation of particleboard from insect rearing residue and rice husks using starch/citric acid mixture as a natural binder

(2020) Hong-Kai Huang et al.   Biomass Conversion and Biorefinery

Optimization of transformer oil blended with natural ester oils using Taguchi-based grey relational analysis

(2020) Subburaj Senthilkumar et al.   FUEL

Multi-objective adaptive differential evolution for SVM/SVR hyperparameters selection

(2020) Carlos Eduardo da Silva Santos et al.   PATTERN RECOGNITION

An integrated SVR and crop model to estimate the impacts of irrigation on daily groundwater levels

(2018) Sandra M. Guzmán et al.   AGRICULTURAL SYSTEMS

Study of the influence of the physical properties of particleboard type P2 on the internal bond of panels using artificial neural networks

(2018) Paloma de Palacios et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Detection of Knot Defects on Coniferous Wood Surface Using Near Infrared Spectroscopy and Chemometrics

(2016) Zhu Zhou et al.   BioResources

A response surface approach for reliability analysis of 2.5D C/SiC composites turbine blade

(2016) Zhigang Sun et al.   COMPOSITES PART B-ENGINEERING

Experimental investigation and prediction of bonding strength of Oriental beech (Fagus orientalisLipsky) bonded with polyvinyl acetate adhesive

(2015) Sebahattin Tiryaki et al.   JOURNAL OF ADHESION SCIENCE AND TECHNOLOGY

Multi-response optimization of minimum quantity lubrication parameters using Taguchi-based grey relational analysis in turning of difficult-to-cut alloy Haynes 25

(2015) Murat Sarıkaya et al.   JOURNAL OF CLEANER PRODUCTION

Toxicity of ionic liquids: Database and prediction via quantitative structure–activity relationship method

(2014) Yongsheng Zhao et al.   JOURNAL OF HAZARDOUS MATERIALS

Real-time process modeling of particleboard manufacture using variable selection and regression methods ensemble

(2013) Nicolas André et al.   European Journal of Wood and Wood Products

SVR-based prediction of evaporation combined with chaotic approach

(2013) Özlem Baydaroğlu et al.   JOURNAL OF HYDROLOGY

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

Cyclic electric load forecasting by seasonal SVR with chaotic genetic algorithm

(2012) Wei-Chiang Hong et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Preparation and Evaluation of Particleboard with a Soy Flour-Polyethylenimine-Maleic Anhydride Adhesive

(2010) Kai Gu et al.   JOURNAL OF THE AMERICAN OIL CHEMISTS SOCIETY

Support vector machines regression and modeling of greenhouse environment

(2009) Dingcheng Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Properties of strand boards with uniform and conventional vertical density profiles

(2009) Juwan Jin et al.   WOOD SCIENCE AND TECHNOLOGY