Predicting and analysing the quality of water resources for industrial purposes using integrated data-intelligent algorithms

Predictive groundwater levels modelling by Inclusive Multiple Modelling (IMM) at multiple levels

(2021) Ata Allah Nadiri et al.   Earth Science Informatics

Geochemical distribution, statistical and health risk assessment of toxic elements in groundwater from a typical mining district in Nigeria

(2021) Monday T. Enyigwe et al.   ENVIRONMENTAL FORENSICS

Prediction modeling of potentially toxic elements’ hydrogeopollution using an integrated Q-mode HCs and ANNs machine learning approach in SE Nigeria

(2021) Johnbosco C. Egbueri   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

A multi-criteria water quality evaluation for human consumption, irrigation and industrial purposes in Umunya area, southeastern Nigeria

(2021) Johnbosco C. Egbueri et al.   INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY

Urban groundwater quality assessment using pollution indicators and multivariate statistical tools: a case study in southeast Nigeria

(2021) Johnbosco C. Egbueri et al.   INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY

Soft computing technique-based prediction of water quality index

(2021) Balraj Singh et al.   Water Science and Technology-Water Supply

Comparison of indices for scaling and corrosion tendency of groundwater: Case study of unconfined aquifer from Mahoba District, U.P. State

(2021) Tejas. Y. Mankikar   Applied Water Science

Understanding the Extent of Heavy Metal Pollution in Drinking Water Supplies from Umunya, Nigeria: An Indexical and Statistical Assessment

(2020) Johnbosco C. Egbueri et al.   ANALYTICAL LETTERS

Signatures of contamination, corrosivity and scaling in natural waters from a fast-developing suburb (Nigeria): insights into their suitability for industrial purposes

(2020) Johnbosco C. Egbueri   ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY

Use of Artificial Neural Networks and Multiple Linear Regression Model for the Prediction of Dissolved Oxygen in Rivers: Case Study of Hydrographic Basin of River Nyando, Kenya

(2020) Yashon O. Ouma et al.   COMPLEXITY

Assessing the pollution status, ecological and health risks of surface waters in Nnewi urban, Nigeria: implications of poor waste disposal

(2020) Ogechukwu O. Onyemesili et al.   ENVIRONMENTAL FORENSICS

A review of the artificial intelligence methods in groundwater level modeling

(2019) Taher Rajaee et al.   JOURNAL OF HYDROLOGY

Geochemical mobility of ions in groundwater from the tropical western coast of Maharashtra, India: implication to groundwater quality

(2019) Satyajit Gaikwad et al.   ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY

Drinking Water Quality and Public Health

(2019) Peiyue Li et al.   Exposure and Health

Sequential treatment of paper and pulp industrial wastewater: Prediction of water quality parameters by Mamdani Fuzzy Logic model and phytotoxicity assessment

(2019) Sadat Mazhar et al.   CHEMOSPHERE

Multiple regression models and Artificial Neural Network (ANN) as prediction tools of changes in overall quality during the storage of spreadable processed Gouda cheese

(2019) J. Stangierski et al.   EUROPEAN FOOD RESEARCH AND TECHNOLOGY

Assessment of heavy metals uptake by cauliflower (Brassica oleracea var. botrytis) grown in integrated industrial effluent irrigated soils: A prediction modeling study

(2019) Vinod Kumar et al.   SCIENTIA HORTICULTURAE

Prediction of effluent quality parameters of a wastewater treatment plant using a supervised committee fuzzy logic model

(2018) Ata Allah Nadiri et al.   JOURNAL OF CLEANER PRODUCTION

Applicability of a processes-based model and artificial neural networks to estimate the concentration of major ions in rivers

(2018) Clemêncio Nhantumbo et al.   JOURNAL OF GEOCHEMICAL EXPLORATION

Assessing the potential origins and human health risks of trace elements in groundwater: A case study in the Khoy plain, Iran

(2018) Rahim Barzegar et al.   ENVIRONMENTAL GEOCHEMISTRY AND HEALTH

An efficient hybrid multilayer perceptron neural network with grasshopper optimization

(2018) Ali Asghar Heidari et al.   SOFT COMPUTING

Groundwater vulnerability indices conditioned by Supervised Intelligence Committee Machine (SICM)

(2017) Ata Allah Nadiri et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Prediction and structural uncertainty analyses of artificial neural networks using hierarchical Bayesian model averaging

(2015) Nima Chitsazan et al.   JOURNAL OF HYDROLOGY

Supervised committee machine with artificial intelligence for prediction of fluoride concentration

(2015) Ata Allah Nadiri et al.   JOURNAL OF HYDROINFORMATICS

Artificial intelligence modeling to evaluate field performance of photocatalytic asphalt pavement for ambient air purification

(2014) Somayeh Asadi et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Evaluation of ground water quality using multiple linear regression and structural equation modeling

(2013) I. Chenini et al.   International Journal of Environmental Science and Technology

Backbreak prediction in the Chadormalu iron mine using artificial neural network

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

Assessment of groundwater corrosivity in Hamedan Province, Iran using an adaptive neuro-fuzzy inference system (ANFIS)

(2011) Hamid Zare Abyaneh et al.   GEOSCIENCES JOURNAL

Heavy metals, occurrence and toxicity for plants: a review

(2010) P. C. Nagajyoti et al.   Environmental Chemistry Letters

Groundwater Classification Using Multivariate Statistical Methods: Birimian Basin, Ghana

(2010) Sandow Mark Yidana   JOURNAL OF ENVIRONMENTAL ENGINEERING

Predicting elastic properties of schistose rocks from unconfined strength using intelligent approach

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

Effect of high sulfate concentration on the corrosivity: a case study from groundwater in Harran Plain, Turkey

(2009) Ayşe Dilek Atasoy et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Engineering behaviour of soil materials on the corrosion of mild steel

(2008) A ISMAIL et al.   APPLIED CLAY SCIENCE