Fractionation of dyes/salts using loose nanofiltration membranes: Insight from machine learning prediction
Wastewater (WW) served as the crucial indicator for sustainable development, human
health, and the ecosystem. Nanofiltration (NF) membranes are efficient in contaminants, dye …
health, and the ecosystem. Nanofiltration (NF) membranes are efficient in contaminants, dye …
[HTML][HTML] A comprehensive review on genomic resources in medicinally and industrially important major spices for future breeding programs: Status, utility and …
P Das, T Chandra, A Negi, S Jaiswal… - Current Research in …, 2023 - Elsevier
In the global market, spices possess a high-value but low-volume commodities of
commerce. The food industry depends largely on spices for taste, flavor, and therapeutic …
commerce. The food industry depends largely on spices for taste, flavor, and therapeutic …
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 …
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 …
Tuning OER electrocatalysts toward LOM pathway through the lens of multi-descriptor feature selection by artificial intelligence-based approach
From the thermodynamic and kinetic viewpoints, the oxygen evolution reaction (OER) is
central to the production of hydrogen through electrocatalytic water splitting process. As a …
central to the production of hydrogen through electrocatalytic water splitting process. As a …
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 …
[HTML][HTML] Multi-regional modeling of cumulative COVID-19 cases integrated with environmental forest knowledge estimation: A deep learning ensemble approach
Reliable modeling of novel commutative cases of COVID-19 (CCC) is essential for
determining hospitalization needs and providing the benchmark for health-related policies …
determining hospitalization needs and providing the benchmark for health-related policies …
Qualitative prediction of Thymoquinone in the high‐performance liquid chromatography optimization method development using artificial intelligence models coupled …
In this study, three various artificial intelligence‐based models were employed including two
non‐linear namely; Hammerstein–Wiener, the neuro‐fuzzy model, and a trivial linear multi …
non‐linear namely; Hammerstein–Wiener, the neuro‐fuzzy model, and a trivial linear multi …
Enhanced desalination with polyamide thin-film membranes using ensemble ML chemometric methods and SHAP analysis
Addressing global freshwater scarcity requires innovative technological solutions, among
which desalination through thin-film composite polyamide membranes stands out. The …
which desalination through thin-film composite polyamide membranes stands out. The …
Spatiotemporal variability assessment of trace metals based on subsurface water quality impact integrated with artificial intelligence-based modeling
Increasing anthropogenic emissions due to rapid industrialization have triggered
environmental pollution and pose a threat to the well-being of the ecosystem. In this study …
environmental pollution and pose a threat to the well-being of the ecosystem. In this study …