Fractionation of dyes/salts using loose nanofiltration membranes: Insight from machine learning prediction

N Baig, J Usman, SI Abba, M Benaafi… - Journal of Cleaner …, 2023 - Elsevier
Wastewater (WW) served as the crucial indicator for sustainable development, human
health, and the ecosystem. Nanofiltration (NF) membranes are efficient in contaminants, dye …

[HTML][HTML] Combined prediction of rockburst based on multiple factors and stacking ensemble algorithm

H Luo, Y Fang, J Wang, Y Wang, H Liao, T Yu, Z Yao - Underground Space, 2023 - Elsevier
Rockburst is a kind of common geological disaster in deep tunnel engineering. It has the
characteristics of causing great harm and occurring at random locations and times. These …

Expecting individuals' body reaction to Covid-19 based on statistical Naïve Bayes technique

AH Rabie, NA Mansour, AI Saleh, AE Takieldeen - Pattern Recognition, 2022 - Elsevier
Abstract Covid-19, what a strange, unpredictable mutated virus. It has baffled many
scientists, as no firm rule has yet been reached to predict the effect that the virus can inflict …

Machine learning and deep learning based on the small FT-MIR dataset for fine-grained sampling site recognition of boletus tomentipes

JE Dong, J Li, H Liu, YZ Wang - Food Research International, 2023 - Elsevier
This study proposed the necessity of identifying the sampling sites for Boletus tomentipes (B.
tomentipes) in combination with cadmium content and environmental factors. Based on …

Rapid and accurate classification of Aspergillus ochraceous contamination in Robusta green coffee bean through near-infrared spectral analysis using machine …

N Ruttanadech, K Phetpan, N Srisang, S Srisang… - Food Control, 2023 - Elsevier
Abstract Near-infrared (NIR) spectral-based classification of Aspergillus ochraceous
contamination in the Robusta green coffee bean was investigated. Six different learning …

Solar panel energy production forecasting by machine learning methods and contribution of lifespan to sustainability

H Yılmaz, M Şahin - International Journal of Environmental Science and …, 2023 - Springer
The struggle to protect the atmosphere and the environment is increasing rapidly around the
world. More work is needed to make energy production from renewable energy sources …

[HTML][HTML] The classification of autism spectrum disorder by machine learning methods on multiple datasets for four age groups

DD Khudhur, SD Khudhur - Measurement: Sensors, 2023 - Elsevier
The world has seen the advent of numerous illnesses that cannot be medically recognized,
such as Autism Spectrum Disorder (ASD). It affects several behavioral domains, including …

[HTML][HTML] Feature and functional form selection in additive models via mixed-integer optimization

M Navarro-García, V Guerrero, M Durban… - Computers & Operations …, 2025 - Elsevier
Feature selection is a recurrent research topic in modern regression analysis, which strives
to build interpretable models, using sparsity as a proxy, without sacrificing predictive power …

Unlocking the potential of Naive Bayes for spatio temporal classification: a novel approach to feature expansion

SS Prasetiyowati, Y Sibaroni - Journal of Big Data, 2024 - Springer
Prediction processes in areas ranging from climate and disease spread to disasters and air
pollution rely heavily on spatial–temporal data. Understanding and forecasting the …

Application of machine learning in polyimide structure design and property regulation

W Huo, H Wang, L Guo, R Zheng… - High Performance …, 2025 - journals.sagepub.com
Polyimide (PI) is widely used in modern industry due to its excellent properties. Its synthesis
methods and property research have significantly progressed. However, the design and …