Vibration prediction and analysis of strip rolling mill based on XGBoost and Bayesian optimization

XGBoost-based on-line prediction of seam tensile strength for Al-Li alloy in laser welding: Experiment study and modelling

(2021) Zhifen Zhang et al.   Journal of Manufacturing Processes

Prediction and analysis of train arrival delay based on XGBoost and Bayesian optimization

(2021) Rui Shi et al.   APPLIED SOFT COMPUTING

Heart disease prediction using hyper parameter optimization (HPO) tuning

(2021) R. Valarmathi et al.   Biomedical Signal Processing and Control

A random search for discrete robust design optimization of linear-elastic steel frames under interval parametric uncertainty

(2021) Bach Do et al.   COMPUTERS & STRUCTURES

Features injected recurrent neural networks for short-term traffic speed prediction

(2021) Licheng Qu et al.   NEUROCOMPUTING

Accurate prediction of band gap of materials using stacking machine learning model

(2021) Teng Wang et al.   COMPUTATIONAL MATERIALS SCIENCE

Bayesian optimization of comprehensive two-dimensional liquid chromatography separations

(2021) Jim Boelrijk et al.   JOURNAL OF CHROMATOGRAPHY A

Quality prediction of ultrasonically welded joints using a hybrid machine learning model

(2021) Patrick G. Mongan et al.   Journal of Manufacturing Processes

Predictive model of cooling load for ice storage air-conditioning system by using GBDT

(2021) Wanhu Zhang et al.   Energy Reports

Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting

(2021) Matheus Henrique Dal Molin Ribeiro et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Predicting Hard Rock Pillar Stability Using GBDT, XGBoost, and LightGBM Algorithms

(2020) Weizhang Liang et al.   Mathematics

SVM kernel based on particle swarm optimized vector and Bayesian optimized SVM in atmospheric particulate matter forecasting

(2020) Georgios N. Kouziokas   APPLIED SOFT COMPUTING

2-stage modified random forest model for credit risk assessment of P2P network lending to “Three Rurals” borrowers

(2020) Congjun Rao et al.   APPLIED SOFT COMPUTING

Prediction of melt pool temperature in directed energy deposition using machine learning

(2020) Ziyang Zhang et al.   Additive Manufacturing

Analyzing the effectiveness of semi-supervised learning approaches for opinion spam classification

(2020) Alexander Ligthart et al.   APPLIED SOFT COMPUTING

An efficient model for predicting the train-induced ground-borne vibration and uncertainty quantification based on Bayesian neural network

(2020) Ruihua Liang et al.   JOURNAL OF SOUND AND VIBRATION

Application of neural networks for predicting hot-rolled strip crown

(2019) Jifei Deng et al.   APPLIED SOFT COMPUTING

A steel property optimization model based on the XGBoost algorithm and improved PSO

(2019) Kai Song et al.   COMPUTATIONAL MATERIALS SCIENCE

Data-driven mono-component feature identification via modified nonlocal means and MEWT for mechanical drivetrain fault diagnosis

(2016) Jun Pan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Customized maximal-overlap multiwavelet denoising with data-driven group threshold for condition monitoring of rolling mill drivetrain

(2016) Jinglong Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A search grid for parameter optimization as a byproduct of model sensitivity analysis

(2015) Jan Verwaeren et al.   APPLIED MATHEMATICS AND COMPUTATION

Application of artificial neural networks for the prediction of roll force and roll torque in hot strip rolling process

(2012) Mahdi Bagheripoor et al.   APPLIED MATHEMATICAL MODELLING

Multi-Objective Optimization for Tandem Cold Rolling Schedule

(2010) Jing-ming YANG et al.   JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL