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 …
Prediction of cell migration potential on human breast cancer cells treated with Albizia lebbeck ethanolic extract using extreme machine learning
Cancer is one of the major causes of death in the modern world, and the incidence varies
considerably based on race, ethnicity, and region. Novel cancer treatments, such as surgery …
considerably based on race, ethnicity, and region. Novel cancer treatments, such as surgery …
Interpretation the influence of hydrometeorological variables on soil temperature prediction using the potential of deep learning model
S Elsayed, M Gupta… - Knowledge …, 2023 - … journals.publicknowledgeproject.org
The importance of soil temperature (ST) quantification can contribute to diverse ecological
modelling processes as well as for agricultural activities. Over the literature, it was evident …
modelling processes as well as for agricultural activities. Over the literature, it was evident …
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 …
Evaluation of Anti-Diarrheal Activities of the 80% Methanol Extract and Solvent Fractions of Maesa lanceolata Forssk (Myrsinaceae) Leaves in Mice
A Megersa, B Dereje, M Adugna… - Journal of …, 2023 - Taylor & Francis
Background Due to the limits of present antidiarrheal medications, it is critical to seek novel,
safe, and inexpensive antidiarrheal agents. Thus, the goal of this study was to assess the …
safe, and inexpensive antidiarrheal agents. Thus, the goal of this study was to assess the …
[HTML][HTML] Environmental modelling of CO concentration using AI-based approach supported with filters feature extraction: A direct and inverse chemometrics-based …
This study explored the first direct and inverse modelling of Carbon monoxide (CO)
concentration by applying three different computational approaches namely, Least Square …
concentration by applying three different computational approaches namely, Least Square …
Novel hybridized computational paradigms integrated with five stand-alone algorithms for clinical prediction of HCV status among patients: A data-driven technique
The emergence of health informatics opens new opportunities and doors for different
disease diagnoses. The current work proposed the implementation of five different stand …
disease diagnoses. The current work proposed the implementation of five different stand …
Performance analysis and control of wastewater treatment plant using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Multi-Linear Regression (MLR) …
In order to provide an effective tool for the simulation of wastewater treatment plant
performance and control, a reliable model is essential. In the present study, two different …
performance and control, a reliable model is essential. In the present study, two different …
[PDF][PDF] CHEMOMETRICS FEASIBILITY FOR MODELLING CHROMATOGRAPHIC BEHAVIOR OF DIAZEPAM USING LINEAR AND NON-LINEAR TECHNIQUES: A …
MA Degm, MMS Ahmed, ZM Zaydi, MAK Ibrahim… - 2024 - abjournals.org
Modern data mining employs the use of statistics with other tools, ideas and approaches from
computer science, databas Page 1 Advanced Journal of Science, Technology and …
computer science, databas Page 1 Advanced Journal of Science, Technology and …
Nature inspired Meta-heuristic optimization integrated with ensemble machine learning for PM2. 5 modeling: a potential approach for sustainable eco-friendly health …
Abstract Particulate Matter 2.5 (PM 2.5) is a major air pollutant that can deeply penetrate the
respiratory system and enter the bloodstream when inhaled. Therefore, it is significant to …
respiratory system and enter the bloodstream when inhaled. Therefore, it is significant to …