New-generation machine learning models as prediction tools for modeling interfacial tension of hydrogen-brine system
Abstract Recently, hydrogen (H 2) gas has gained prodigious attention as a sustainable
energy carrier to reduce acute dependence on fossil fuels due to its fascinating properties …
energy carrier to reduce acute dependence on fossil fuels due to its fascinating properties …
Intelligent optimization for modelling superhydrophobic ceramic membrane oil flux and oil-water separation efficiency: Evidence from wastewater treatment and …
Due to the significant energy and economic losses brought on by the global oil spill, there
has been an increased interest in oil-water separation. This study presents strong non-linear …
has been an increased interest in oil-water separation. This study presents strong non-linear …
[HTML][HTML] Analysis of artificial intelligence in thyroid diagnostics and surgery: a scoping review
A Taha, B Saad, S Taha-Mehlitz, V Ochs… - The American Journal of …, 2024 - Elsevier
Abstract Background Artificial Intelligence provides numerous applications in the healthcare
sector. The main aim of this study is to evaluate the extent of the current application of …
sector. The main aim of this study is to evaluate the extent of the current application of …
Impact of feature scaling on machine learning models for the diagnosis of diabetes
Due to its high prevalence and incidence, diabetes is considered significant public health.
Since diabetes has no known cure, early diagnosis plays a vital role in effectively managing …
Since diabetes has no known cure, early diagnosis plays a vital role in effectively managing …
An overview of streamflow prediction using random forest algorithm
Since the first application of Artificial Intelligence in the field of hydrology, there has been a
great deal of interest in exploring aspects of future enhancements to hydrology. This is …
great deal of interest in exploring aspects of future enhancements to hydrology. This is …
Prediction of compressive strength of concrete incorporated with jujube seed as partial replacement of coarse aggregate: a feasibility of Hammerstein–Wiener model …
The need for evaluation of compressive strength of a concrete is of utmost importance in civil
and structural engineering as one of the factors that determine quality of concrete. In this …
and structural engineering as one of the factors that determine quality of concrete. In this …
Spatiotemporal hybrid random forest model for tea yield prediction using satellite-derived variables
Crop yield forecasting is critical for enhancing food security and ensuring an appropriate
food supply. It is critical to complete this activity with high precision at the regional and …
food supply. It is critical to complete this activity with high precision at the regional and …
Kernel ridge regression hybrid method for wheat yield prediction with satellite-derived predictors
Wheat dominates the Australian grain production market and accounts for 10–15% of the
world's 100 million tonnes annual global wheat trade. Accurate wheat yield prediction is …
world's 100 million tonnes annual global wheat trade. Accurate wheat yield prediction is …
[PDF][PDF] Prediction of the effects of environmental factors towards COVID-19 outbreak using AI-based models
K Mahmoud, H Bebiş, AG Usman… - … Journal of Artificial …, 2021 - researchgate.net
The need for elucidating the effects of environmental factors in the determination of the novel
corona virus (COVID-19) is very vital. This study is a methodological study to compare three …
corona virus (COVID-19) is very vital. This study is a methodological study to compare three …
Advanced chromatographic technique for performance simulation of anti-Alzheimer agent: An ensemble machine learning approach
UM Ghali, AG Usman, ZM Chellube, MAA Degm… - SN Applied …, 2020 - Springer
This work employs the application of three artificial intelligence (AI) techniques namely;
support vector machine (SVM), Hammerstein-Wiener (HW) and multi-layer perceptron (MLP) …
support vector machine (SVM), Hammerstein-Wiener (HW) and multi-layer perceptron (MLP) …