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[HTML][HTML] Groundwater level prediction using machine learning models: A comprehensive review
Develo** accurate soft computing methods for groundwater level (GWL) forecasting is
essential for enhancing the planning and management of water resources. Over the past two …
essential for enhancing the planning and management of water resources. Over the past two …
A review of modern machine learning techniques in the prediction of remaining useful life of lithium-ion batteries
P Sharma, BJ Bora - Batteries, 2022 - mdpi.com
The intense increase in air pollution caused by vehicular emissions is one of the main
causes of changing weather patterns and deteriorating health conditions. Furthermore …
causes of changing weather patterns and deteriorating health conditions. Furthermore …
Multi-class confusion matrix reduction method and its application on net promoter score classification problem
The paper presents a novel method for reducing a multi-class Confusion Matrix into a 2× 2
version enabling the use of the relevant performance metrics and methods like the Receiver …
version enabling the use of the relevant performance metrics and methods like the Receiver …
Evaluation of water quality indexes with novel machine learning and SHapley Additive ExPlanation (SHAP) approaches
Water quality indexes (WQI) are pivotal in assessing aquatic systems. Conventional
modeling approaches rely on extensive datasets with numerous unspecified inputs, leading …
modeling approaches rely on extensive datasets with numerous unspecified inputs, leading …
Compressive strength prediction of lightweight concrete: Machine learning models
Concrete is the most commonly used construction material. The physical properties of
concrete vary with the type of concrete, such as high and ultra-high-strength concrete, fibre …
concrete vary with the type of concrete, such as high and ultra-high-strength concrete, fibre …
Modeling-optimization of performance and emission characteristics of dual-fuel engine powered with pilot diesel and agricultural-food waste-derived biogas
Gaseous-liquid fuel combinations of biogas as primary fuel and diesel as pilot fuel were
employed to power a compression ignition (CI) engine in this study. The effects of variable …
employed to power a compression ignition (CI) engine in this study. The effects of variable …
[HTML][HTML] Evaluating the predictive power of different machine learning algorithms for groundwater salinity prediction of multi-layer coastal aquifers in the Mekong Delta …
Groundwater salinization is considered as a major environmental problem in worldwide
coastal areas, influencing ecosystems and human health. However, an accurate prediction …
coastal areas, influencing ecosystems and human health. However, an accurate prediction …
Supplementary cementitious materials in blended cement concrete: Advancements in predicting compressive strength through machine learning
The increasing utilization of Portland cement raises environmental concerns. Thus, leading
to the exploration of supplementary cementitious materials (SCMs) as alternatives to use in …
to the exploration of supplementary cementitious materials (SCMs) as alternatives to use in …
Sonication impact on thermal conductivity of f-MWCNT nanofluids using XGBoost and Gaussian process regression
Background Previous research has revealed that nanofluids are capable of improving the
heat transfer performance of energy systems. Researchers devote a considerable deal of …
heat transfer performance of energy systems. Researchers devote a considerable deal of …
Using Bayesian optimization and ensemble boosted regression trees for optimizing thermal performance of solar flat plate collector under thermosyphon condition …
The thermal performance of a flat plate solar collector operating under thermosyphon
conditions using MWCNT+ Fe 3 O 4/Water hybrid nanofluids was investigated in this study …
conditions using MWCNT+ Fe 3 O 4/Water hybrid nanofluids was investigated in this study …