Results 231 to 240 of about 85,077 (292)

Evaluating how different balancing data techniques impact on prediction of premature birth using machine learning models. [PDF]

PLoS One
Silva AB, Rocha EDS, Lorenzato JF, Endo PT.   +3 more
europepmc   +1 more source

What matters for agricultural trade? Assessing the role of trade deal provisions using machine learning

Applied Economic Perspectives and Policy, EarlyView.
Abstract This paper employs machine learning to determine which preferential trade agreement (PTA) provisions are relevant to agricultural trade patterns and the factors that may influence their adoption. Utilizing the three‐way gravity model, we apply plug‐in Lasso regularized regression to pinpoint predictive PTA provisions for agricultural trade ...
Stepan Gordeev, Jeremy Jelliffe, Dongin Kim, Sandro Steinbach   +3 more
wiley   +1 more source

Utilizing machine learning algorithms for predicting Anxiety-Depression Comorbidity Syndrome in Gastroenterology Inpatients (ADCS-GI). [PDF]

BMC Psychiatry
Tan M, Zhao J, Tao Y, Sehar U, Yan Y, Zou Q, Liu Q, Xu L, Xia Z, Feng L, Xiong J.   +10 more
europepmc   +1 more source

Rapid Design of Efficient Mn3O4‐Based Photocatalysts by Machine Learning and Density Functional Theory Calculations

Advanced Energy and Sustainability Research, EarlyView.
A rapid design strategy is presented for efficient Al‐doped Mn3O4‐based photocatalysts by integrating density functional theory calculations, machine learning (ML) modeling, and experiments. The optimized Al0.5Mn2.5O4/35 wt%‐Ag3PO4 heterojunctions achieved a 27‐fold improvement in methylene blue degradation under visible light compared to pristine ...
Haoxin Mai, Xuying Li, Tu C. Le, Salvy P. Russo, David A. Winkler, Dehong Chen, Rachel A. Caruso   +6 more
wiley   +1 more source

Machine learning frameworks to accurately estimate the adsorption of organic materials onto resin and biochar. [PDF]

Sci Rep
Hassan R, Kazemi MR.
europepmc   +1 more source

Detection and Quantification of Over‐Humidification in Polymer Electrolyte Fuel Cells: Insights into Simulation, Imaging, and Sensors

Advanced Energy and Sustainability Research, EarlyView.
This review highlights advanced methods for detecting and managing over‐humidification in polymer electrolyte fuel cells (PEFCs), emphasizing innovative sensors, simulation techniques, and imaging methods. By addressing the impact of water management on fuel‐cell performance and durability, this study outlines practical and sustainable solutions for ...
Maximilian Käfer, Viktor Hacker, Merit Bodner   +2 more
wiley   +1 more source

Carbon dioxide solubility in polyethylene glycol polymer: an accurate intelligent estimation framework. [PDF]

Sci Rep
Sead FF, Sur D, Yadav A, Ballal S, Singh A, Krithiga T, Vats S, Yuldashev F, Ahmad I, Sherzod S.   +9 more
europepmc   +1 more source

A Detailed Comprehensive Role of Digital Technologies in Green Finance Initiative for Net‐Zero Energy Transition

Advanced Energy and Sustainability Research, EarlyView.
This study aims to provide actionable recommendations for leveraging digital innovation for the achievement of scalable, equitable, and transparent Net Zero Energy Transition by offering actionable recommendations. As a result of this comprehensive analysis, the review highlights the critical interplay between digital technologies and GF as vital ...
Furkan Ahmad, Ameni Boumaiza, Antonio Sanfilippo, Luluwah Al‐Fagih   +3 more
wiley   +1 more source

Machine learning model for differentiating malignant from benign thyroid nodules based on the thyroid function data. [PDF]

BMJ Open
Ma F, Yu F, Lv S, Zhang L, Lu Z, Zhou Q, Mao HR, Zhang L, Xiang N.   +8 more
europepmc   +1 more source

Exploring Salinity Gradient Power in Sweden: Key Factors, Machine Learning Predictive Modeling, and Life Cycle Assessment

Advanced Energy and Sustainability Research, EarlyView.
This study optimizes salinity gradient power generation using reverse electrodialysis (RED) by analyzing key operational parameters through factorial experiments and machine learning. Life cycle assessment reveals RED environmental impact and sustainability compared to other renewables, offering insights into future material choices and system ...
Younes Mohammadi, Mehzabeen Mannan, Sara Fazeli, Noor Ul Afsar, Venkata K. K. Upadhyayula, Naser Tavajohi   +5 more
wiley   +1 more source