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Predicting all-cause risk of 30-day hospital readmission using artificial neural networks

PloS one, 2017-07, Vol.12 (7), p.e0181173-e0181173

2017

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A meticulous intelligent approach to predict thermal conductivity ratio of hybrid nanofluids for heat transfer applications

Journal of thermal analysis and calorimetry, 2021-10, Vol.146 (2), p.611-628

2021

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Toward the accurate estimation of elliptical side orifice discharge coefficient applying two rigorous kernel-based data-intelligence paradigms

Scientific reports, 2021-10, Vol.11 (1), p.19784-19784, Article 19784

2021

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Prediction of Maximum Scour Depth near Spur Dikes in Uniform Bed Sediment Using Stacked Generalization Ensemble Tree-Based Frameworks

Journal of irrigation and drainage engineering, 2021-11, Vol.147 (11)

2021

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Nanofluids thermal conductivity prediction applying a novel hybrid data-driven model validated using Monte Carlo-based sensitivity analysis

Engineering with computers, 2022-04, Vol.38 (Suppl 1), p.815-839

2022

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Groundwater level prediction using machine learning models: A comprehensive review

Neurocomputing (Amsterdam), 2022-06, Vol.489, p.271-308

2022

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Development of a new wavelet-based hybrid model to forecast multi-scalar SPEI drought index (case study: Zanjan city, Iran)

Theoretical and applied climatology, 2022, Vol.147 (1-2), p.499-522

2022

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Sunshine duration measurements and predictions in Saharan Algeria region: an improved ensemble learning approach

Theoretical and applied climatology, 2022-02, Vol.147 (3-4), p.1015-1031

2022

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Prediction of flyrock induced by mine blasting using a novel kernel-based extreme learning machine

Journal of Rock Mechanics and Geotechnical Engineering, 2021-12, Vol.13 (6), p.1438-1451

2021

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Computational assessment of groundwater salinity distribution within coastal multi-aquifers of Bangladesh

Scientific reports, 2022-07, Vol.12 (1), p.11165-11165, Article 11165

2022

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Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm

Scientific reports, 2024-07, Vol.14 (1), p.15051-21, Article 15051

2024

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Publisher Correction: Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm

Scientific reports, 2024-08, Vol.14 (1), p.18517-1, Article 18517

2024

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Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly reference evapotranspiration

Agricultural water management, 2023-12, Vol.290, p.108604, Article 108604

2023

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A comprehensive analytical and computational assessment of soil water characteristics curves in Atlantic Canada: Application of a novel SelectKbestbased GEP model

Agricultural water management, 2024-06, Vol.298, p.108868, Article 108868

2024

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Designing a decomposition-based multi-phase pre-processing strategy coupled with EDBi-LSTM deep learning approach for sediment load forecasting

Ecological indicators, 2023-09, Vol.153, p.110478, Article 110478

2023

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Deposition and Microbial Analyses from Roof-Top Sediments Within Different Sanitation Environments

Topics in catalysis, 2024-08, Vol.67 (15-16), p.983-993

2024

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Boruta extra tree-bidirectional long short-term memory model development for Pan evaporation forecasting: Investigation of arid climate condition

Alexandria engineering journal, 2024-01, Vol.86, p.425-442

2024

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A rigorous model for prediction of viscosity of oil-based hybrid nanofluids

Physica A, 2020-10, Vol.556, p.124827, Article 124827

2020

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New achievements on daily reference evapotranspiration forecasting: Potential assessment of multivariate signal decomposition schemes

Ecological indicators, 2023-11, Vol.155, p.111030, Article 111030

2023

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Narrowband noise study of sliding charge density waves in NbSe3 nanoribbons

New journal of physics, 2017-02, Vol.19 (2), p.023001

2017

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Assessment of thermal conductivity of polyethylene glycol-carbon dot nanofluid through a combined experimental-data mining investigation

Journal of materials research and technology, 2022-07, Vol.19, p.2695-2704

2022

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Predicting Rock Brittleness Using a Robust Evolutionary Programming Paradigm and Regression-Based Feature Selection Model

Applied sciences, 2022-07, Vol.12 (14), p.7101

2022

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Correction: Predicting all-cause risk of 30-day hospital readmission using artificial neural networks

PloS one, 2018-05, Vol.13 (5), p.e0197793-e0197793

2018

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Discharge coefficient prediction of canal radial gate using neurocomputing models: an investigation of free and submerged flow scenarios

Engineering applications of computational fluid mechanics, 2022-01, Vol.16 (1), p.1-19

2022

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Adaptive slime mould algorithm for optimal design of photovoltaic models

Energy science & engineering, 2022-07, Vol.10 (7), p.2035-2064

2022

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Predicting all-cause risk of 30-day hospital readmission using artificial neural networks

A meticulous intelligent approach to predict thermal conductivity ratio of hybrid nanofluids for heat transfer applications

Toward the accurate estimation of elliptical side orifice discharge coefficient applying two rigorous kernel-based data-intelligence paradigms

Prediction of Maximum Scour Depth near Spur Dikes in Uniform Bed Sediment Using Stacked Generalization Ensemble Tree-Based Frameworks

Nanofluids thermal conductivity prediction applying a novel hybrid data-driven model validated using Monte Carlo-based sensitivity analysis

Groundwater level prediction using machine learning models: A comprehensive review

Development of a new wavelet-based hybrid model to forecast multi-scalar SPEI drought index (case study: Zanjan city, Iran)

Sunshine duration measurements and predictions in Saharan Algeria region: an improved ensemble learning approach

Prediction of flyrock induced by mine blasting using a novel kernel-based extreme learning machine

Computational assessment of groundwater salinity distribution within coastal multi-aquifers of Bangladesh

Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm

Publisher Correction: Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm

Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly reference evapotranspiration

A comprehensive analytical and computational assessment of soil water characteristics curves in Atlantic Canada: Application of a novel SelectKbestbased GEP model

Designing a decomposition-based multi-phase pre-processing strategy coupled with EDBi-LSTM deep learning approach for sediment load forecasting

Deposition and Microbial Analyses from Roof-Top Sediments Within Different Sanitation Environments

Boruta extra tree-bidirectional long short-term memory model development for Pan evaporation forecasting: Investigation of arid climate condition

A rigorous model for prediction of viscosity of oil-based hybrid nanofluids

New achievements on daily reference evapotranspiration forecasting: Potential assessment of multivariate signal decomposition schemes

Narrowband noise study of sliding charge density waves in NbSe3 nanoribbons

Assessment of thermal conductivity of polyethylene glycol-carbon dot nanofluid through a combined experimental-data mining investigation

Predicting Rock Brittleness Using a Robust Evolutionary Programming Paradigm and Regression-Based Feature Selection Model

Correction: Predicting all-cause risk of 30-day hospital readmission using artificial neural networks

Discharge coefficient prediction of canal radial gate using neurocomputing models: an investigation of free and submerged flow scenarios

Adaptive slime mould algorithm for optimal design of photovoltaic models

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