Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study

Prediction of Blast-induced Air Over-pressure in Open-Pit Mine: Assessment of Different Artificial Intelligence Techniques

(2019) Xuan-Nam Bui et al.   Natural Resources Research

Optimization of ANFIS with GA and PSO estimating α ratio in driven piles

(2019) Hossein Moayedi et al.   ENGINEERING WITH COMPUTERS

Prediction of energetic performance of a building integrated photovoltaic/thermal system thorough artificial neural network and hybrid particle swarm optimization models

(2019) Abdulwahab A. Alnaqi et al.   ENERGY CONVERSION AND MANAGEMENT

A new soft computing model for estimating and controlling blast-produced ground vibration based on Hierarchical K-means clustering and Cubist algorithms

(2019) Hoang Nguyen et al.   APPLIED SOFT COMPUTING

Random forests: A machine learning methodology to highlight the volatile organic compounds involved in olfactory perception

(2018) E. Vigneau et al.   FOOD QUALITY AND PREFERENCE

Partial multi-dividing ontology learning algorithm

(2018) Wei Gao et al.   INFORMATION SCIENCES

A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam

(2018) Hoang Nguyen et al.   NEURAL COMPUTING & APPLICATIONS

Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest

(2018) Hoang Nguyen et al.   Natural Resources Research

Forecasting ground vibration due to rock blasting: a hybrid intelligent approach using support vector regression and fuzzy C-means clustering

(2017) Hasan Sheykhi et al.   ENGINEERING WITH COMPUTERS

Estimation of blast-induced ground vibration through a soft computing framework

(2017) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Prediction and minimization of blast-induced ground vibration using two robust meta-heuristic algorithms

(2017) Roohollah Shirani Faradonbeh et al.   ENGINEERING WITH COMPUTERS

An artificial neural network approach for under-reamed piles subjected to uplift forces in dry sand

(2017) Hossein Moayedi et al.   NEURAL COMPUTING & APPLICATIONS

Nano properties analysis via fourth multiplicative ABC indicator calculating

(2017) Wei Gao et al.   Arabian Journal of Chemistry

Study of biological networks using graph theory

(2017) Wei Gao et al.   SAUDI JOURNAL OF BIOLOGICAL SCIENCES

A new hybrid ANFIS–PSO model for prediction of peak particle velocity due to bench blasting

(2016) Ebrahim Ghasemi et al.   ENGINEERING WITH COMPUTERS

A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration

(2016) Khalil Taheri et al.   ENGINEERING WITH COMPUTERS

Forecasting blast-induced ground vibration developing a CART model

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Prediction of ground vibration due to quarry blasting based on gene expression programming: a new model for peak particle velocity prediction

(2016) R Shirani Faradonbeh et al.   International Journal of Environmental Science and Technology

Application of PSO to develop a powerful equation for prediction of flyrock due to blasting

(2016) Mahdi Hasanipanah et al.   NEURAL COMPUTING & APPLICATIONS

Feasibility of indirect determination of blast induced ground vibration based on support vector machine

(2015) Mahdi Hasanipanah et al.   MEASUREMENT

Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization

(2014) M. Hajihassani et al.   APPLIED ACOUSTICS

Data-driven method based on particle swarm optimization and k-nearest neighbor regression for estimating capacity of lithium-ion battery

(2014) Chao Hu et al.   APPLIED ENERGY

Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm

(2014) Mohsen Hajihassani et al.   Bulletin of Engineering Geology and the Environment

Development of a fuzzy model for predicting ground vibration caused by rock blasting in surface mining

(2012) Ebrahim Ghasemi et al.   JOURNAL OF VIBRATION AND CONTROL

Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network

(2012) Masoud Monjezi et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of blast-induced ground vibration using artificial neural networks

(2010) M. Monjezi et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Prediction and controlling of flyrock in blasting operation using artificial neural network

(2009) M. Monjezi et al.   Arabian Journal of Geosciences

The effect of discontinuity frequency on ground vibrations produced from bench blasting: A case study

(2008) Hakan Ak et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Prediction of uniaxial compressive strength of sandstones using petrography-based models

(2007) K. Zorlu et al.   ENGINEERING GEOLOGY