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Ensemble Regression and Explainable AI for Predicting Resource Utilization Efficiency in 6G-Enabled Smart Healthcare Systems

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Bibliographic Details
Published in:Balkan Journal of Electrical and Computer Engineering
Format: Online Article RSS Article
Published: 2026
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container_title Balkan Journal of Electrical and Computer Engineering
description
discipline_display Computer Science
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institution FRELIP
journal_source_facet Balkan Journal of Electrical and Computer Engineering
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Ensemble Regression and Explainable AI for Predicting Resource Utilization Efficiency in 6G-Enabled Smart Healthcare Systems
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Ensemble Regression and Explainable AI for Predicting Resource Utilization Efficiency in 6G-Enabled Smart Healthcare Systems
title_auth Ensemble Regression and Explainable AI for Predicting Resource Utilization Efficiency in 6G-Enabled Smart Healthcare Systems
title_full Ensemble Regression and Explainable AI for Predicting Resource Utilization Efficiency in 6G-Enabled Smart Healthcare Systems
title_fullStr Ensemble Regression and Explainable AI for Predicting Resource Utilization Efficiency in 6G-Enabled Smart Healthcare Systems
title_full_unstemmed Ensemble Regression and Explainable AI for Predicting Resource Utilization Efficiency in 6G-Enabled Smart Healthcare Systems
title_short Ensemble Regression and Explainable AI for Predicting Resource Utilization Efficiency in 6G-Enabled Smart Healthcare Systems
title_sort ensemble regression and explainable ai for predicting resource utilization efficiency in 6g-enabled smart healthcare systems
topic Computer Science
General
Computer Science
url https://dergipark.org.tr/en/pub/bajece/article/1795462%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20