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

Three hybrid intelligent models in estimating flyrock distance resulting from blasting

(2018) Mohammadreza Koopialipoor et al.   ENGINEERING WITH COMPUTERS

Assessing and controlling of bench blasting-induced vibrations to minimize impacts to a neighboring community

(2018) V.F. Navarro Torres et al.   JOURNAL OF CLEANER PRODUCTION

Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions

(2018) Mohammadreza Koopialipoor et al.   SOFT COMPUTING

Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran)

(2018) Sasan Vafaei et al.   Remote Sensing

Particle Swarm Optimization Algorithm for Neuro-Fuzzy Prospectivity Analysis Using Continuously Weighted Spatial Exploration Data

(2018) Bijan Roshanravan et al.   Natural Resources Research

Comparison of LLNF, ANN, and COA-ANN Techniques in Modeling the Uniaxial Compressive Strength and Static Young’s Modulus of Limestone of the Dalan Formation

(2018) Maryam Mokhtari et al.   Natural Resources Research

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

Big Data Analytics of Identifying Geochemical Anomalies Supported by Machine Learning Methods

(2017) Renguang Zuo et al.   Natural Resources Research

Random Forest-Based Prospectivity Modelling of Greenfield Terrains Using Sparse Deposit Data: An Example from the Tanami Region, Western Australia

(2017) Siddharth Hariharan et al.   Natural Resources Research

Mineral Systems Analysis and Artificial Neural Network Modeling of Chromite Prospectivity in the Western Limb of the Bushveld Complex, South Africa

(2017) Abera Tessema   Natural Resources Research

Modification and prediction of blast-induced ground vibrations based on both empirical and computational techniques

(2016) M. Monjezi et al.   ENGINEERING WITH COMPUTERS

Prediction of air-overpressure caused by mine blasting using a new hybrid PSO–SVR model

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure

(2016) Maryam Amiri et al.   ENGINEERING WITH COMPUTERS

Estimation of air-overpressure produced by blasting operation through a neuro-genetic technique

(2016) Edy Tonnizam Mohamad et al.   Environmental Earth Sciences

Feasibility of ICA in approximating ground vibration resulting from mine blasting

(2016) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

Airblast prediction through a hybrid genetic algorithm-ANN model

(2016) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

Stability prediction of gate roadways in longwall mining using artificial neural networks

(2016) Satar Mahdevari et al.   NEURAL COMPUTING & APPLICATIONS

Feasibility of PSO–ANFIS model to estimate rock fragmentation produced by mine blasting

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

Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas

(2016) Charlotte Pelletier et al.   REMOTE SENSING OF ENVIRONMENT

Neuro-fuzzy technique to predict air-overpressure induced by blasting

(2015) Danial Jahed Armaghani et al.   Arabian Journal of Geosciences

Prediction and optimization of back-break and rock fragmentation using an artificial neural network and a bee colony algorithm

(2015) Ebrahim Ebrahimi et al.   Bulletin of Engineering Geology and the Environment

Several non-linear models in estimating air-overpressure resulting from mine blasting

(2015) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

A combination of the ICA-ANN model to predict air-overpressure resulting from blasting

(2015) Danial Jahed Armaghani et al.   ENGINEERING WITH COMPUTERS

Application of Discriminant Analysis and Support Vector Machine in Mapping Gold Potential Areas for Further Drilling in the Sari-Gunay Gold Deposit, NW Iran

(2015) Hamid Geranian et al.   Natural Resources Research

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

(2014) M. Hajihassani et al.   APPLIED ACOUSTICS

Development of a fuzzy model to predict flyrock in surface mining

(2010) M. Rezaei et al.   SAFETY SCIENCE

Prediction of blast-induced ground vibration using artificial neural networks

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

Morphologic and Biochemical Characterization of Brain Injury in a Model of Controlled Blast Overpressure Exposure

(2010) Stanislav I. Svetlov et al.   JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE

Prediction of blast-induced air overpressure using support vector machine

(2009) Manoj Khandelwal et al.   Arabian Journal of Geosciences

Control negative effects of blasting waves on concrete of the structures by analyzing of parameters of ground vibration

(2009) R. Nateghi et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Operational and geological parameters in the assessing blast induced airblast-overpressure in quarries

(2008) C. Kuzu et al.   APPLIED ACOUSTICS