Journal ArticleDOI
Prediction of copper ions adsorption by attapulgite adsorbent using tuned-artificial intelligence model
Suraj Kumar Bhagat,Konstantina Pyrgaki,Sinan Q. Salih,Tiyasha Tiyasha,Ufuk Beyaztas,Shamsuddin Shahid,Zaher Mundher Yaseen +6 more
TLDR
The applied statistical analysis of the results indicates that ANN and Grid-RF models can be employed as a computer-aided model for monitoring and simulating the adsorption from aqueous solutions by Attapulgite clay.About:
This article is published in Chemosphere.The article was published on 2021-03-04. It has received 31 citations till now.read more
Citations
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Journal ArticleDOI
Proposition of New Ensemble Data-Intelligence Models for Surface Water Quality Prediction
Ali Omran Al-Sulttani,Mustafa Al-Mukhtar,Ali B. Roomi,Aitazaz A. Farooque,Khaled Mohamed Khedher,Zaher Mundher Yaseen +5 more
TL;DR: In this paper, five different ensemble machine learning (ML) models including Quantile regression forest (QRF), Random Forest (RF), radial support vector machine (SVM), Stochastic Gradient Boosting (GBM).
Journal ArticleDOI
A Review on Machine Learning, Artificial Intelligence, and Smart Technology in Water Treatment and Monitoring
TL;DR: This review offers a cross-section of peer reviewed, critical water-based applications that have been coupled with AI or ML, including chlorination, adsorption, membrane filtration, water-quality-index monitoring,Water- quality-parameter modeling, river-level monitoring, and aquaponics/hydroponics automation/monitoring.
Journal ArticleDOI
Recent advances in hydrochar application for the adsorptive removal of wastewater pollutants
Joshua O. Ighalo,S. Rangabhashiyam,Kanika Dulta,C. T. Umeh,Kingsley O. Iwuozor,Chukwunonso O. Aniagor,S. Eshiemogie,Felicitas U. Iwuchukwu,Chinenye Adaobi Igwegbe +8 more
TL;DR: In this paper , a review aimed to focus the uniqueness of hydrochar properties and evaluate their performance on the adsorption of different pollutants from wastewater, including heavy metals, dyes, Pharmaceutically Active Compounds (PhACs), Endocrine Disruption Chemicals (EDCs), nitrates, phosphates and sulphate.
Journal ArticleDOI
Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions
Hai Tao,Hai Tao,Hai Tao,Zainab S. Al-Khafaji,Zainab S. Al-Khafaji,Chongchong Qi,Mohammad Zounemat-Kermani,Ozgur Kisi,Tiyasha Tiyasha,Kwok Wing Chau,Vahid Nourani,Vahid Nourani,Assefa M. Melesse,Mohamed Elhakeem,Mohamed Elhakeem,Aitazaz A. Farooque,A. Pouyan Nejadhashemi,Khaled Mohamed Khedher,Omer A. Alawi,Ravinesh C. Deo,Shamsuddin Shahid,Vijay P. Singh,Zaher Mundher Yaseen,Zaher Mundher Yaseen +23 more
TL;DR: Sediment transport in a river basin is therefore a multifa... as discussed by the authors, which is an important indicator for ecological and geomorphological assessments of soil erosion within any watershed region.
Journal ArticleDOI
Modeling nutrient removal by membrane bioreactor at a sewage treatment plant using machine learning models
Muhammad Waqas Yaqub,Won-Goo Lee +1 more
TL;DR: In this article , an extreme gradient boosting (XGBoost) model was applied using a grid search strategy to predict the removal of nutrients, including ammonium (NH 4 ), total phosphorus (TP), and total nitrogen (TN).
References
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Random Forests
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Support-Vector Networks
Corinna Cortes,Vladimir Vapnik +1 more
TL;DR: High generalization ability of support-vector networks utilizing polynomial input transformations is demonstrated and the performance of the support- vector network is compared to various classical learning algorithms that all took part in a benchmark study of Optical Character Recognition.
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An introduction to the bootstrap
Bradley Efron,Robert Tibshirani +1 more
TL;DR: This article presents bootstrap methods for estimation, using simple arguments, with Minitab macros for implementing these methods, as well as some examples of how these methods could be used for estimation purposes.
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A logical calculus of the ideas immanent in nervous activity
Warren S. McCulloch,Walter Pitts +1 more
TL;DR: In this article, it is shown that many particular choices among possible neurophysiological assumptions are equivalent, in the sense that for every net behaving under one assumption, there exists another net which behaves under another and gives the same results, although perhaps not in the same time.