Heavy metal contamination prediction using ensemble model: Case study of Bay sedimentation, Australia

Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts

(2020) Mumtaz Ali et al.   JOURNAL OF HYDROLOGY

A data-driven approach for pipe deformation prediction based on soil properties and weather conditions

(2020) Fang Shi et al.   Sustainable Cities and Society

A survey on river water quality modelling using artificial intelligence models: 2000–2020

(2020) Tiyasha et al.   JOURNAL OF HYDROLOGY

The Prediction of Heavy Metal Permeate Flux in Complexation-Microfiltration Process: Polynomial Neural Network Approach

(2019) Zoran Sekulić et al.   WATER AIR AND SOIL POLLUTION

A CEEMDAN and XGBOOST-Based Approach to Forecast Crude Oil Prices

(2019) Yingrui Zhou et al.   COMPLEXITY

Automated segmentation and classification of brain stroke using expectation-maximization and random forest classifier

(2019) Asit Subudhi et al.   Biocybernetics and Biomedical Engineering

Monte Carlo uncertainty analysis of an ANN-based spectral analysis method

(2019) José Ramón Salinas et al.   NEURAL COMPUTING & APPLICATIONS

Random forest–based estimation of heavy metal concentration in agricultural soils with hyperspectral sensor data

(2019) Kun Tan et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Real-time analysis and regulation of EPB shield steering using Random Forest

(2019) Pin Zhang et al.   AUTOMATION IN CONSTRUCTION

Development of deep learning method for lead content prediction of lettuce leaf using hyperspectral images

(2019) Xin Zhou et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Detecting associations between intact connectomes and clinical covariates using recursive partitioning object‐oriented data analysis

(2019) Dake Yang et al.   STATISTICS IN MEDICINE

Estimation of the spatial distribution of heavy metal in agricultural soils using airborne hyperspectral imaging and random forest

(2019) Kun Tan et al.   JOURNAL OF HAZARDOUS MATERIALS

Laundry wastewater treatment using a combination of sand filter, bio-char and teff straw media

(2019) Zaher Mundher Yaseen et al.   Scientific Reports

Multivariate optimization of Pb(II) removal for clinoptilolite-rich tuffs using genetic programming: A computational approach

(2018) O. May Tzuc et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

An expert recommendation algorithm based on Pearson correlation coefficient and FP-growth

(2018) Wanli Feng et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China

(2018) Junliang Fan et al.   ENERGY CONVERSION AND MANAGEMENT

Insights and pitfalls of artificial neural network modeling of competitive multi-metallic adsorption data

(2018) D.I. Mendoza-Castillo et al.   JOURNAL OF MOLECULAR LIQUIDS

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(2018) Adem Yavuz Sonmez et al.   Turkish Journal of Fisheries and Aquatic Sciences

APPLICATION OF A NEURO-GENETIC TECHNIQUE IN THE OPTIMIZATION OF HEAVY METALS REMOVAL FROM WASTEWATERS FOR ENVIRONMENTAL RISK REDUCTION

(2018) Silvia Curteanu et al.   Environmental Engineering and Management Journal

A novel imputation methodology for time series based on pattern sequence forecasting

(2018) Neeraj Bokde et al.   PATTERN RECOGNITION LETTERS

Optimization of process parameters for anaerobic fermentation of corn stalk based on least squares support vector machine

(2018) Cuiying Dong et al.   BIORESOURCE TECHNOLOGY

A Novel and Alternative Approach for Direct and Indirect Wind-Power Prediction Methods

(2018) Neeraj Bokde et al.   Energies

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

(2018) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Potential bioavailability assessment, source apportionment and ecological risk of heavy metals in the sediment of Brisbane River estuary, Australia

(2017) Godfred Odame Duodu et al.   MARINE POLLUTION BULLETIN

Soil Cd, Cr, Cu, Ni, Pb and Zn sorption and retention models using SVM: Variable selection and competitive model

(2017) J.J. González Costa et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Preparation of nanomaterials for the ultrasound-enhanced removal of Pb 2+ ions and malachite green dye: Chemometric optimization and modeling

(2017) Ebrahim Alipanahpour Dil et al.   ULTRASONICS SONOCHEMISTRY

Optimal Spatial Prediction Using Ensemble Machine Learning

(2016) Molly Margaret Davies et al.  

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

(2016) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Lead biosorption onto coffee grounds: Comparative analysis of several optimization techniques using equilibrium adsorption models and ANN

(2016) Ricardo Gomez-Gonzalez et al.   Journal of the Taiwan Institute of Chemical Engineers

Evaluation of a newly developed biosorbent using packed bed column for possible application in the treatment of industrial effluents for removal of cadmium ions

(2016) Muhammad Fayyaz Ahmad et al.   Journal of the Taiwan Institute of Chemical Engineers

Bioactive Molecule Prediction Using Extreme Gradient Boosting

(2016) Ismail Babajide Mustapha et al.   MOLECULES

A Comparative Assessment of the Influences of Human Impacts on Soil Cd Concentrations Based on Stepwise Linear Regression, Classification and Regression Tree, and Random Forest Models

(2016) Lefeng Qiu et al.   PLoS One

Enhancing Long-Term Streamflow Forecasting and Predicting using Periodicity Data Component: Application of Artificial Intelligence

(2016) Zaher Mundher Yaseen et al.   WATER RESOURCES MANAGEMENT

Optimal Spatial Prediction Using Ensemble Machine Learning

(2016) Molly Margaret Davies et al.   International Journal of Biostatistics

Development of a hybrid pollution index for heavy metals in marine and estuarine sediments

(2015) James P. Brady et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Novel membrane reactor design for heavy-metal removal by alginate nanoparticles

(2015) Akbar Esmaeili et al.   JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY

Weak acid extractable metals in Bramble Bay, Queensland, Australia: Temporal behaviour, enrichment and source apportionment

(2015) James P. Brady et al.   MARINE POLLUTION BULLETIN

Artificial neural network modelling of As(III) removal from water by novel hybrid material

(2015) S. Mandal et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study

(2015) Romain Pirracchio et al.   Lancet Respiratory Medicine

An evaluation of the statistical methods for testing the performance of crop models with observed data

(2014) J.M. Yang et al.   AGRICULTURAL SYSTEMS

Support vector machine applications in the field of hydrology: A review

(2014) Sujay Raghavendra. N et al.   APPLIED SOFT COMPUTING

Fast artificial neural network (FANN) modeling of Cd(II) ions removal by valonia resin

(2014) Ulaş Yurtsever et al.   Desalination and Water Treatment

Enrichment, distribution and sources of heavy metals in the sediments of Deception Bay, Queensland, Australia

(2014) James P. Brady et al.   MARINE POLLUTION BULLETIN

Temporal trends and bioavailability assessment of heavy metals in the sediments of Deception Bay, Queensland, Australia

(2014) James P. Brady et al.   MARINE POLLUTION BULLETIN

Metal contamination of estuarine intertidal sediments of Moreton Bay, Australia

(2014) Guia Morelli et al.   MARINE POLLUTION BULLETIN

Using Random Forest To Model the Domain Applicability of Another Random Forest Model

(2013) Robert P. Sheridan   Journal of Chemical Information and Modeling

Neural networks-based modeling applied to a process of heavy metals removal from wastewaters

(2013) Gabriel D. Suditu et al.   JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH PART A-TOXIC/HAZARDOUS SUBSTANCES & ENVIRONMENTAL ENGINEERING

Simultaneous and automated monitoring of the multimetal biosorption processes by potentiometric sensor array and artificial neural network

(2013) D. Wilson et al.   TALANTA

Comparison of the results of response surface methodology and artificial neural network for the biosorption of lead using black cumin

(2012) Deniz Bingöl et al.   BIORESOURCE TECHNOLOGY

Heavy metal pollution assessment using support vector machine in the Shur River, Sarcheshmeh copper mine, Iran

(2012) A. Aryafar et al.   Environmental Earth Sciences

Electrothermal Atomic Absorption Spectrometry to Determine As, Cd, Cr, Cu, Hg, and Pb in Soils and Sediments: A Review and Perspectives

(2012) Jordi Sardans et al.   SOIL & SEDIMENT CONTAMINATION

Modelling of lead adsorption from industrial sludge leachate on red mud by using RSM and ANN

(2011) Feza Geyikçi et al.   CHEMICAL ENGINEERING JOURNAL

Speciation of heavy metals in sediments from the Scheldt estuary, Belgium

(2011) D. Shilla et al.   CHEMISTRY AND ECOLOGY

Contaminants in water, sediment and fish biomonitor species from natural and artificial estuarine habitats along the urbanized Gold Coast, Queensland

(2011) Nathan J. Waltham et al.   JOURNAL OF ENVIRONMENTAL MONITORING

Mortality factors and lead contamination of wild birds from Korea

(2010) Dong-Ha Nam et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Lead (Pb) isotopic fingerprinting and its applications in lead pollution studies in China: A review

(2010) Hefa Cheng et al.   ENVIRONMENTAL POLLUTION

The relation between Acid Volatile Sulfides (AVS) and metal accumulation in aquatic invertebrates: Implications of feeding behavior and ecology

(2010) Maarten De Jonge et al.   ENVIRONMENTAL POLLUTION

Benthic foraminiferal assemblages from Moreton Bay, South-East Queensland, Australia: Applications in monitoring water and substrate quality in subtropical estuarine environments

(2010) Y. Roshni Narayan et al.   MARINE POLLUTION BULLETIN

mGene: Accurate SVM-based gene finding with an application to nematode genomes

(2009) G. Schweikert et al.   GENOME RESEARCH

Peak load forecasting using Bayesian regularization, Resilient and adaptive backpropagation learning based artificial neural networks

(2008) Lalit Mohan Saini   ELECTRIC POWER SYSTEMS RESEARCH

Design of artificial neural networks using a genetic algorithm to predict collection efficiency in venturi scrubbers

(2008) Mahboobeh Taheri et al.   JOURNAL OF HAZARDOUS MATERIALS