Estimating PM10 Concentration from Drilling Operations in Open-Pit Mines Using an Assembly of SVR and PSO

Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures

(2019) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of Blast-Induced Ground Vibration in an Open-Pit Mine by a Novel Hybrid Model Based on Clustering and Artificial Neural Network

(2019) Hoang Nguyen et al.   Natural Resources Research

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

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

(2019) Hoang Nguyen et al.   Acta Geophysica

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

Optimizing Levenberg–Marquardt backpropagation technique in predicting factor of safety of slopes after two-dimensional OptumG2 analysis

(2019) Xuan-Nam Bui et al.   ENGINEERING WITH COMPUTERS

Proposing a novel predictive technique using M5Rules-PSO model estimating cooling load in energy-efficient building system

(2019) Hoang Nguyen et al.   ENGINEERING WITH COMPUTERS

Optimizing ANN models with PSO for predicting short building seismic response

(2019) Hoang Nguyen et al.   ENGINEERING WITH COMPUTERS

Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models

(2019) Hui Chen et al.   Applied Sciences-Basel

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

A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning

(2019) Le Thi Le et al.   Applied Sciences-Basel

A Novel Artificial Intelligence Approach to Predict Blast-Induced Ground Vibration in Open-Pit Mines Based on the Firefly Algorithm and Artificial Neural Network

(2019) Yonghui Shang et al.   Natural Resources Research

Cytogenetic instability in populations with residential proximity to open-pit coal mine in Northern Colombia in relation to PM 10 and PM 2.5 levels

(2018) Lyda Espitia-Pérez et al.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY

Multiple linear regression and regression with time series error models in forecasting PM10 concentrations in Peninsular Malaysia

(2018) Kar Yong Ng et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Variability of PM10 in industrialized-urban areas. New coefficients to establish significant differences between sampling points

(2018) A.B. Vicente et al.   ENVIRONMENTAL POLLUTION

2005–2014 trends of PM10 source contributions in an industrialized area of southern Spain

(2018) Jiwei Li et al.   ENVIRONMENTAL POLLUTION

Krill herd algorithm-based neural network in structural seismic reliability evaluation

(2018) Panagiotis G. Asteris et al.   MECHANICS OF ADVANCED MATERIALS AND STRUCTURES

PM 10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case study

(2018) P.J. García Nieto et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Discovering relationships and forecasting PM 10 and PM 2.5 concentrations in Bogotá, Colombia, using Artificial Neural Networks, Principal Component Analysis, and k-means clustering

(2018) Fabiana Franceschi et al.   Atmospheric Pollution Research

Forecasting PM 10 hourly concentrations in northern Italy: Insights on models performance and PM 10 drivers through self-organizing maps

(2018) Giovanni Gualtieri et al.   Atmospheric Pollution 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

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

Environmental change in a modified catchment downstream of a gold mine, Solomon Islands

(2017) Simon Albert et al.   ENVIRONMENTAL POLLUTION

A hybrid Particle Swarm Optimization – Variable Neighborhood Search algorithm for Constrained Shortest Path problems

(2017) Yannis Marinakis et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials

(2017) Panagiotis Asteris et al.   SENSORS

A Methodology to Monitor Airborne PM10 Dust Particles Using a Small Unmanned Aerial Vehicle

(2017) Miguel Alvarado et al.   SENSORS

An Ensemble Random Forest Algorithm for Insurance Big Data Analysis

(2017) Weiwei Lin et al.   IEEE Access

Daily pan evaporation modeling using chi-squared automatic interaction detector, neural networks, classification and regression tree

(2016) Ozgur Kisi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Forecasting blast-induced ground vibration developing a CART model

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Evaluating the predictability of PM 10 grades in Seoul, Korea using a neural network model based on synoptic patterns

(2016) Sun-Kyong Hur et al.   ENVIRONMENTAL POLLUTION

Estimating ground-level PM 10 in a Chinese city by combining satellite data, meteorological information and a land use regression model

(2016) Xia Meng et al.   ENVIRONMENTAL POLLUTION

Prediction of self-compacting concrete strength using artificial neural networks

(2016) P.G. Asteris et al.   European Journal of Environmental and Civil Engineering

Anisotropic masonry failure criterion using artificial neural networks

(2016) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks

(2016) Panagiotis G. Asteris et al.   Computational Intelligence and Neuroscience

Application of two intelligent systems in predicting environmental impacts of quarry blasting

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

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

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

Artificial intelligence based approach to forecast PM 2.5 during haze episodes: A case study of Delhi, India

(2015) Dhirendra Mishra et al.   ATMOSPHERIC ENVIRONMENT

Prediction of blast-induced air overpressure: a hybrid AI-based predictive model

(2015) Danial Jahed Armaghani et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

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

(2015) Mahdi Hasanipanah et al.   MEASUREMENT

Prediction of particulate matter concentration profile in an opencast copper mine in India using an artificial neural network model

(2015) Aditya Kumar Patra et al.   Air Quality Atmosphere and Health

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

Modeling of masonry failure surface under biaxial compressive stress using Neural Networks

(2014) Vagelis Plevris et al.   CONSTRUCTION AND BUILDING MATERIALS

The CART decision tree for mining data streams

(2014) Leszek Rutkowski et al.   INFORMATION SCIENCES

Global sensitivity analysis with dependence measures

(2014) Sebastien Da Veiga   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization

(2013) D. Jahed Armaghani et al.   Arabian Journal of Geosciences

Characterization of particulate matter (PM10) related to surface coal mining operations in Appalachia

(2012) Viney P. Aneja et al.   ATMOSPHERIC ENVIRONMENT

Forecasting PM10 in metropolitan areas: Efficacy of neural networks

(2012) H.J.S. Fernando et al.   ENVIRONMENTAL POLLUTION

PM10 emission forecasting using artificial neural networks and genetic algorithm input variable optimization

(2012) Davor Z. Antanasijević 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

Application of a Random Forest algorithm to predict spatial distribution of the potential yield of Ruditapes philippinarum in the Venice lagoon, Italy

(2011) Simone Vincenzi et al.   ECOLOGICAL MODELLING

A contribution towards the risk assessment of soils from the São Domingos Mine (Portugal): Chemical, microbial and ecotoxicological indicators

(2011) Paula Alvarenga et al.   ENVIRONMENTAL POLLUTION

Air quality impact assessment of multiple open pit coal mines in northern Colombia

(2011) José I. Huertas et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2.5 concentrations using artificial neural networks, in Thessaloniki and Helsinki

(2011) Dimitris Voukantsis et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Evaluation of a multiple regression model for the forecasting of the concentrations of NOx and PM10 in Athens and Helsinki

(2011) A. Vlachogianni et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Predicting intact rock strength for mechanical excavation using multivariate statistics, artificial neural networks, and regression trees

(2008) Bulent Tiryaki   ENGINEERING GEOLOGY