Integrating feature extraction approaches with hybrid emotional neural networks for water quality index modeling
SI Abba, RA Abdulkadir, SS Sammen, QB Pham… - Applied Soft …, 2022 - Elsevier
The establishment of water quality prediction models is vital for aquatic ecosystems analysis.
The traditional methods of water quality index (WQI) analysis are time-consuming and …
The traditional methods of water quality index (WQI) analysis are time-consuming and …
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 …
[HTML][HTML] Applications of artificial intelligence for chemical analysis and monitoring of pharmaceutical and personal care products in water and wastewater: A review
B Kavianpour, F Piadeh, M Gheibi, A Ardakanian… - Chemosphere, 2024 - Elsevier
Specifying and interpreting the occurrence of emerging pollutants is essential for assessing
treatment processes and plants, conducting wastewater-based epidemiology, and …
treatment processes and plants, conducting wastewater-based epidemiology, and …
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 …
Hybridization of deep learning, nonlinear system identification and ensemble tree intelligence algorithms for pan evaporation estimation
A reliable pan evaporation (E pan) estimation over a daily scale is vital for sustainable water
and agriculture management, especially for designing water use allocations, irrigation …
and agriculture management, especially for designing water use allocations, irrigation …
Prediction of Cell Migration in MDA-MB 231 and MCF-7 Human Breast Cancer Cells Treated with Albizia Lebbeck Methanolic Extract Using Multilinear Regression …
Breast cancer is a common cancer affecting women worldwide, and it progresses from
breast tissue to other parts of the body through a process called metastasis. Albizia lebbeck …
breast tissue to other parts of the body through a process called metastasis. Albizia lebbeck …
The effect of ethanolic leaves extract of Hymenodictyon floribundun on inflammatory biomarkers: a data-driven approach
Background Medicinal plants are used to manage pain and inflammatory disorders in
traditional medicine. A scientific investigation could serve as a basis for the determination of …
traditional medicine. A scientific investigation could serve as a basis for the determination of …
Chemometrics‐based models hyphenated with ensemble machine learning for retention time simulation of isoquercitrin in Coriander sativum L. using high …
In this research, two nonlinear models, namely; adaptive neuro‐fuzzy inference system and
feed‐forward neural network and a classical linear model were employed for the prediction …
feed‐forward neural network and a classical linear model were employed for the prediction …
Hybrid extreme gradient boosting and nonlinear ensemble models for suspended sediment load prediction in an agricultural catchment
G Gelete - Water Resources Management, 2023 - Springer
In this study, four individual models namely Hammerstein-Weiner (HW), Extreme Learning
Machine (ELM), Long Short-Term Memory (LSTM) and Least Square Support Vector …
Machine (ELM), Long Short-Term Memory (LSTM) and Least Square Support Vector …