Prediction into the future: A novel intelligent approach for PM2.5 forecasting in the ambient air of open-pit mining

Estimation of Petrophysical Parameters from Seismic Inversion by Combining Particle Swarm Optimization and Multilayer Linear Calculator

(2020) Qamar Yasin et al.   Natural Resources Research

A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization

(2020) R. Ahmed et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Machine-learning algorithms for predicting land susceptibility to dust emissions: The case of the Jazmurian Basin, Iran

(2020) Hamid Gholami et al.   Atmospheric Pollution Research

Particulate matter concentration from open-cut coal mines: A hybrid machine learning estimation

(2020) Chongchong Qi et al.   ENVIRONMENTAL POLLUTION

Integrated and intelligent design framework for cemented paste backfill: A combination of robust machine learning modelling and multi-objective optimization

(2020) Chongchong Qi et al.   MINERALS ENGINEERING

Air pollution characteristics and human health risks in key cities of northwest China

(2020) Haiping Luo et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Evaluation of machine learning models for predicting the temporal variations of dust storm index in arid regions of Iran

(2020) Zohre Ebrahimi-Khusfi et al.   Atmospheric Pollution Research

Simulation of an extreme dust episode using WRF-CHEM based on optimal ensemble approach

(2020) Charu Singh et al.   ATMOSPHERIC RESEARCH

Estimation of daily PM10 and PM2.5 concentrations in Italy, 2013–2015, using a spatiotemporal land-use random-forest model

(2019) Massimo Stafoggia et al.   ENVIRONMENT INTERNATIONAL

Novel Soft Computing Model for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on Particle Swarm Optimization and XGBoost

(2019) Xiliang Zhang et al.   Natural Resources Research

Source apportionment of heavy metal and their health risks in soil-dustfall-plant system nearby a typical non-ferrous metal mining area of Tongling, Eastern China

(2019) Juan Wang et al.   ENVIRONMENTAL POLLUTION

Environmental pollution and geo-ecological risk assessment of the Qhorveh mining area in western Iran

(2019) Safoura Saedpanah et al.   ENVIRONMENTAL POLLUTION

Evaluation and Optimization of Prediction of Toe that Arises from Mine Blasting Operation Using Various Soft Computing Techniques

(2019) Farhang Sadeghi et al.   Natural Resources Research

Slope stability prediction using integrated metaheuristic and machine learning approaches: A comparative study

(2018) Chongchong Qi et al.   COMPUTERS & INDUSTRIAL ENGINEERING

An intelligent modelling framework for mechanical properties of cemented paste backfill

(2018) Chongchong Qi et al.   MINERALS ENGINEERING

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

Particulate emission rates for open surfaces in Australian open cut black coal mines

(2018) Claire Richardson et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

A statistical training data cleaning strategy for the PCA-based chiller sensor fault detection, diagnosis and data reconstruction method

(2016) Yunpeng Hu et al.   ENERGY AND BUILDINGS

Forecasting blast-induced ground vibration developing a CART model

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Classification and regression tree technique in estimating peak particle velocity caused by blasting

(2016) Manoj Khandelwal et al.   ENGINEERING WITH COMPUTERS

Particle swarm optimization (PSO). A tutorial

(2015) Federico Marini et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

A comprehensive review on the applications of coal fly ash

(2015) Z.T. Yao et al.   EARTH-SCIENCE REVIEWS

Comparative performance of six supervised learning methods for the development of models of hard rock pillar stability prediction

(2015) Jian Zhou et al.   NATURAL HAZARDS

Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines

(2015) V. Rodriguez-Galiano et al.   ORE GEOLOGY REVIEWS

Indirect measure of shale shear strength parameters by means of rock index tests through an optimized artificial neural network

(2014) Danial Jahed Armaghani et al.   MEASUREMENT

Size distribution and concentrations of heavy metals in atmospheric aerosols originating from industrial emissions as predicted by the HYSPLIT model

(2013) Bing Chen et al.   ATMOSPHERIC ENVIRONMENT

Gradient boosting machines, a tutorial

(2013) Alexey Natekin et al.   Frontiers in Neurorobotics

Characterization of airborne particles in an open pit mining region

(2012) José I. Huertas et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Prediction of dust concentration in open cast coal mine using artificial neural network

(2012) Bindhu Lal et al.   Atmospheric Pollution Research

A computational study of particulate emissions from an open pit quarry under neutral atmospheric conditions

(2009) S.A. Silvester et al.   ATMOSPHERIC ENVIRONMENT