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using algorithm » cosine algorithm (Expand Search)
model algorithm » mould algorithm (Expand Search)
system model » system modeling (Expand Search), lstm model (Expand Search)
using algorithm » cosine algorithm (Expand Search)
model algorithm » mould algorithm (Expand Search)
system model » system modeling (Expand Search), lstm model (Expand Search)
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A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies
Published 2024“…Study selection, quality assessment, and data extraction were performed independently by four authors. …”
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963
Precision nutrition: A systematic literature review
Published 2021“…Therefore, we carried out a Systematic Literature Review (SLR) to provide an overview of where and how machine learning has been used in Precision Nutrition from various aspects, what such machine learning models use as input features, what the availability status of the data used in the literature is, and how the models are evaluated. …”
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Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review
Published 2025“…MethodsPreferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was adapted for searching the PubMed and Scopus databases on ML use in TAVI outcomes prediction. Once the studies that meet the inclusion criteria were identified, data from these studies were retrieved and were further examined. 17 parameters relevant to TAVI outcomes were carefully identified for assessing the quality of the included studies. …”
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965
Iterative Methods for the Solution of a Steady State Biofilter Model
Published 2017Get full text
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966
Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR)
Published 2018“…Recent advances in natural language processing, text mining and machine learning have produced new algorithms that can accurately mimic human endeavour in systematic review activity, faster and more cheaply. …”
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Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review
Published 2025“…</p><h3>Methods</h3><p dir="ltr">Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was adapted for searching the PubMed and Scopus databases on ML use in TAVI outcomes prediction. Once the studies that meet the inclusion criteria were identified, data from these studies were retrieved and were further examined. 17 parameters relevant to TAVI outcomes were carefully identified for assessing the quality of the included studies. …”
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Capillary trapping in mixed-wet porous media: Implications for subsurface carbon dioxide sequestration
Published 2025“…The study also highlights shortcomings of analyzing multiphase flows in mono-wet systems. Insights from this study can be used for improving pore network models and training machine learning algorithms.…”
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Dynamic Cyber Resilience of Interdependent Critical Information Infrastructures
Published 2021“…The technology stack of the proposed solution was also implemented with four algorithms and eight protocols. The evaluation results of the proposed solution were compared to the results of standard solutions under different cyberattack scenarios using quantitative research methods involving computing simulations, emulation experiments, and analytical modeling. …”
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