Bridging artificial intelligence and fucoxanthin for the recovery and quantification from microalgae

JWR Chong, DYY Tang, HY Leong, KS Khoo… - …, 2023 - Taylor & Francis
Fucoxanthin is a carotenoid that possesses various beneficial medicinal properties for
human well-being. However, the current extraction technologies and quantification …

Design and Machine Learning Prediction of In Situ Grown PDA-Stabilized MOF (UiO-66-NH2) Membrane for Low-Pressure Separation of Emulsified Oily Wastewater

J Usman, SI Abba, N Baig, N Abu-Zahra… - … applied materials & …, 2024 - ACS Publications
Significant progress has been made in designing advanced membranes; however,
persistent challenges remain due to their reduced permeation rates and a propensity for …

Advances in AI-Driven retention prediction for different chromatographic techniques: unraveling the complexity

YR Singh, DB Shah, DG Maheshwari… - Critical Reviews in …, 2024 - Taylor & Francis
Retention prediction through Artificial intelligence (AI)-based techniques has gained
exponential growth due to their abilities to process complex sets of data and ease the crucial …

Impact of feature scaling on machine learning models for the diagnosis of diabetes

DU Ozsahin, MT Mustapha, AS Mubarak… - … in Everything (AIE), 2022 - ieeexplore.ieee.org
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 …

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 …

Tuning OER electrocatalysts toward LOM pathway through the lens of multi-descriptor feature selection by artificial intelligence-based approach

H Adamu, SI Abba, PB Anyin, Y Sani… - ACS Materials …, 2022 - ACS Publications
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 …

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 …

Implementation of soft-computing models for prediction of flexural strength of pervious concrete hybridized with rice husk ash and calcium carbide waste

SI Malami, AA Musa, SI Haruna, UU Aliyu… - Modeling Earth Systems …, 2022 - Springer
Pervious concrete is a kind of concrete used for storm-water management due to its high
porosity and permeability. However, its' flexural strength as the most desirable mechanical …

Prediction of compressive strength of concrete incorporated with jujube seed as partial replacement of coarse aggregate: a feasibility of Hammerstein–Wiener model …

M Adamu, SI Haruna, SI Malami, MN Ibrahim… - Modeling Earth Systems …, 2021 - Springer
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 …

The effect of ethanolic leaves extract of Hymenodictyon floribundun on inflammatory biomarkers: a data-driven approach

AG Usman, MH Ahmad, RN Danraka… - Bulletin of the National …, 2021 - Springer
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 …