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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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Numerical analysis of pile group, piled raft, and footing using finite element software PLAXIS 2D and GEO5

Scientific reports, 2023-09, Vol.13 (1), p.15875-15875, Article 15875

2023

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A data-driven approach to river discharge forecasting in the Himalayan region: Insights from Aglar and Paligaad rivers

Results in engineering, 2024-06, Vol.22, p.102044, Article 102044

2024

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Metaheuristic optimization algorithms hybridized with artificial intelligence model for soil temperature prediction: Novel model

IEEE access, 2020-01, Vol.8, p.1-1

2020

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Study on recirculating aquaculture system (RAS) in organic fish production

IOP conference series. Earth and environmental science, 2024-08, Vol.1391 (1), p.12013

2024

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Performance evaluation of sediment ejector efficiency using hybrid neuro-fuzzy models

Engineering applications of computational fluid mechanics, 2021-01, Vol.15 (1), p.627-643

2021

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Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction

Complexity (New York, N.Y.), 2022, Vol.2022 (1)

2022

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Dual Water Choices: The Assessment of the Influential Factors on Water Sources Choices Using Unsupervised Machine Learning Market Basket Analysis

IEEE access, 2021, Vol.9, p.150532-150544

2021

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Evaluating Physical and Fiscal Water Leakage in Water Distribution System

Water (Basel), 2019-10, Vol.11 (10), p.2091

2019

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Development of Advanced Computer Aid Model for Shear Strength of Concrete Slender Beam Prediction

Applied sciences, 2020-06, Vol.10 (11), p.3811

2020

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

Journal of hazardous materials, 2021-02, Vol.403, p.123492, Article 123492

2021

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Development of artificial intelligence for modeling wastewater heavy metal removal: State of the art, application assessment and possible future research

Journal of cleaner production, 2020-03, Vol.250, p.119473, Article 119473

2020

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Prediction of copper ions adsorption by attapulgite adsorbent using tuned-artificial intelligence model

Chemosphere (Oxford), 2021-08, Vol.276, p.130162-130162, Article 130162

2021

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Prediction of sediment heavy metal at the Australian Bays using newly developed hybrid artificial intelligence models

Environmental pollution (1987), 2021-01, Vol.268 (Pt B), p.115663, Article 115663

2021

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Functionalization of remote sensing and on-site data for simulating surface water dissolved oxygen: Development of hybrid tree-based artificial intelligence models

Marine pollution bulletin, 2021-09, Vol.170 (C), p.112639-112639, Article 112639

2021

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Manganese (Mn) removal prediction using extreme gradient model

Ecotoxicology and environmental safety, 2020-11, Vol.204, p.111059-111059, Article 111059

2020

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Treating Textile Wastewater to Achieve Zero Liquid Discharge: a Comprehensive Techno-economic Analysis

Water, air, and soil pollution, 2023-10, Vol.234 (10), p.651, Article 651

2023

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Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects

Journal of environmental management, 2022-05, Vol.309, p.114711-114711, Article 114711

2022

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Comprehensive review on machine learning methodologies for modeling dye removal processes in wastewater

Journal of cleaner production, 2023-01, Vol.385, p.135522, Article 135522

2023

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Newly explored machine learning model for river flow time series forecasting at Mary River, Australia

Environmental monitoring and assessment, 2020-12, Vol.192 (12), p.761, Article 761

2020

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Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models

Computers and electronics in agriculture, 2021-06, Vol.185, p.106158, Article 106158

2021

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

Scientific reports, 2019-12, Vol.9 (1), p.18709-11, Article 18709

2019

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Precipitation variations in the central Vietnam to forecast using Holt-Winters Seasonal Additive Forecasting method for 1990 to 2019 trend

IOP conference series. Earth and environmental science, 2023-07, Vol.1216 (1), p.12019

2023

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Prediction of lead (Pb) adsorption on attapulgite clay using the feasibility of data intelligence models

Environmental science and pollution research international, 2021-06, Vol.28 (24), p.31670-31688

2021

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Organic Aquaculture Regulation, Production, and Marketing: Current Status, Issues, and Future Prospects—A Systematic Review

Aquaculture research, 2024-09, Vol.2024 (1)

2024

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Groundwater level prediction using machine learning models: A comprehensive review

Numerical analysis of pile group, piled raft, and footing using finite element software PLAXIS 2D and GEO5

A data-driven approach to river discharge forecasting in the Himalayan region: Insights from Aglar and Paligaad rivers

Metaheuristic optimization algorithms hybridized with artificial intelligence model for soil temperature prediction: Novel model

Study on recirculating aquaculture system (RAS) in organic fish production

Performance evaluation of sediment ejector efficiency using hybrid neuro-fuzzy models

Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction

Dual Water Choices: The Assessment of the Influential Factors on Water Sources Choices Using Unsupervised Machine Learning Market Basket Analysis

Evaluating Physical and Fiscal Water Leakage in Water Distribution System

Development of Advanced Computer Aid Model for Shear Strength of Concrete Slender Beam Prediction

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

Development of artificial intelligence for modeling wastewater heavy metal removal: State of the art, application assessment and possible future research

Prediction of copper ions adsorption by attapulgite adsorbent using tuned-artificial intelligence model

Prediction of sediment heavy metal at the Australian Bays using newly developed hybrid artificial intelligence models

Functionalization of remote sensing and on-site data for simulating surface water dissolved oxygen: Development of hybrid tree-based artificial intelligence models

Manganese (Mn) removal prediction using extreme gradient model

Treating Textile Wastewater to Achieve Zero Liquid Discharge: a Comprehensive Techno-economic Analysis

Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects

Comprehensive review on machine learning methodologies for modeling dye removal processes in wastewater

Newly explored machine learning model for river flow time series forecasting at Mary River, Australia

Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models

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

Precipitation variations in the central Vietnam to forecast using Holt-Winters Seasonal Additive Forecasting method for 1990 to 2019 trend

Prediction of lead (Pb) adsorption on attapulgite clay using the feasibility of data intelligence models

Organic Aquaculture Regulation, Production, and Marketing: Current Status, Issues, and Future Prospects—A Systematic Review

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