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PREDICTING THE FEASIBILITY OF SOLAR PARABOLIC TROUGH SYSTEMS IN SUB-SAHARAN AFRICA USING MACHINE LEARNING ALGORITHMS

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Published in:International Journal of 3D Printing Technologies and Digital Industry
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of 3D Printing Technologies and Digital Industry
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:78312
institution FRELIP
journal_source_facet International Journal of 3D Printing Technologies and Digital Industry
last_indexed 2026-06-20T21:39:56.259Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle PREDICTING THE FEASIBILITY OF SOLAR PARABOLIC TROUGH SYSTEMS IN SUB-SAHARAN AFRICA USING MACHINE LEARNING ALGORITHMS
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title PREDICTING THE FEASIBILITY OF SOLAR PARABOLIC TROUGH SYSTEMS IN SUB-SAHARAN AFRICA USING MACHINE LEARNING ALGORITHMS
title_alt PREDICCIÓN DE LA VIABILIDAD DE SISTEMAS SOLARES DE CILINDRO PARABÓLICO EN ÁFRICA SUBSAHARIANA MEDIANTE ALGORITMOS DE APRENDIZAJE AUTOMÁTICO
PRÉDICTION DE LA FAISABILITÉ DES SYSTÈMES SOLAIRES À CUVETTE PARABOLIQUE EN AFRIQUE SUBSAHARIENNE À L'AIDE D'ALGORITHMES D'APPRENTISSAGE AUTOMATIQUE
PREVISÃO DA VIABILIDADE DE SISTEMAS SOLARES DE CALHA PARABÓLICA NA ÁFRICA SUBSAARIANA USANDO ALGORITMOS DE APRENDIZAGEM DE MÁQUINA
title_auth PREDICTING THE FEASIBILITY OF SOLAR PARABOLIC TROUGH SYSTEMS IN SUB-SAHARAN AFRICA USING MACHINE LEARNING ALGORITHMS
title_es_txt PREDICCIÓN DE LA VIABILIDAD DE SISTEMAS SOLARES DE CILINDRO PARABÓLICO EN ÁFRICA SUBSAHARIANA MEDIANTE ALGORITMOS DE APRENDIZAJE AUTOMÁTICO
title_fr_txt PRÉDICTION DE LA FAISABILITÉ DES SYSTÈMES SOLAIRES À CUVETTE PARABOLIQUE EN AFRIQUE SUBSAHARIENNE À L'AIDE D'ALGORITHMES D'APPRENTISSAGE AUTOMATIQUE
title_full PREDICTING THE FEASIBILITY OF SOLAR PARABOLIC TROUGH SYSTEMS IN SUB-SAHARAN AFRICA USING MACHINE LEARNING ALGORITHMS
title_fullStr PREDICTING THE FEASIBILITY OF SOLAR PARABOLIC TROUGH SYSTEMS IN SUB-SAHARAN AFRICA USING MACHINE LEARNING ALGORITHMS
title_full_unstemmed PREDICTING THE FEASIBILITY OF SOLAR PARABOLIC TROUGH SYSTEMS IN SUB-SAHARAN AFRICA USING MACHINE LEARNING ALGORITHMS
title_pt_txt PREVISÃO DA VIABILIDADE DE SISTEMAS SOLARES DE CALHA PARABÓLICA NA ÁFRICA SUBSAARIANA USANDO ALGORITMOS DE APRENDIZAGEM DE MÁQUINA
title_short PREDICTING THE FEASIBILITY OF SOLAR PARABOLIC TROUGH SYSTEMS IN SUB-SAHARAN AFRICA USING MACHINE LEARNING ALGORITHMS
title_sort predicting the feasibility of solar parabolic trough systems in sub-saharan africa using machine learning algorithms
topic Computer Science
General
Computer Science
url https://dergipark.org.tr/en/pub/ij3dptdi/article/1771446%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20