[HTML][HTML] Groundwater level prediction using machine learning models: A comprehensive review

H Tao, MM Hameed, HA Marhoon… - Neurocomputing, 2022 - Elsevier
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 …

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 …

Multi-class confusion matrix reduction method and its application on net promoter score classification problem

I Markoulidakis, G Kopsiaftis, I Rallis… - Proceedings of the 14th …, 2021 - dl.acm.org
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 …

Evaluation of water quality indexes with novel machine learning and SHapley Additive ExPlanation (SHAP) approaches

A Aldrees, M Khan, ATB Taha, M Ali - Journal of Water Process …, 2024 - Elsevier
Water quality indexes (WQI) are pivotal in assessing aquatic systems. Conventional
modeling approaches rely on extensive datasets with numerous unspecified inputs, leading …

Compressive strength prediction of lightweight concrete: Machine learning models

A Kumar, HC Arora, NR Kapoor, MA Mohammed… - Sustainability, 2022 - mdpi.com
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 …

Modeling-optimization of performance and emission characteristics of dual-fuel engine powered with pilot diesel and agricultural-food waste-derived biogas

Z Said, P Sharma, BJ Bora, TAE Bui, DT Nguyen… - International Journal of …, 2023 - Elsevier
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 …

Supplementary cementitious materials in blended cement concrete: Advancements in predicting compressive strength through machine learning

F Aslam, MZ Shahab - Materials Today Communications, 2024 - Elsevier
The increasing utilization of Portland cement raises environmental concerns. Thus, leading
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

Z Said, P Sharma, BJ Bora, AK Pandey - Journal of the Taiwan Institute of …, 2023 - Elsevier
Background Previous research has revealed that nanofluids are capable of improving the
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 …

Z Said, P Sharma, LS Sundar, VD Tran - … Energy Technologies and …, 2022 - Elsevier
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 …