Hybrid noise reduction-based data-driven modeling of relative humidity in Khulna, Bangladesh

In this study, a hybrid Machine Learning (ML) approach is proposed for Relative Humidity (RH) prediction with a combination of Empirical Mode Decomposition (EMD) to improve the prediction accuracy over the traditional prediction technique using a Machine Learning (ML) algorithm called Support Vector...

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Bibliografische Detailangaben
Hauptverfasser:	Shuvendu Pal Shuvo, Joarder MdAshikuzzaman, Shirshendu Pal Shibazee, Goutam Paul, Pritam Banerjee, Kazi Mashfiq Fahmid, Ashiqur Rahman
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2024-08-01
Schriftenreihe:	Heliyon
Schlagworte:	Relative humidity Empirical mode decomposition (EMD) and support vector machine (SVM)
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2405844024123213
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Hybrid noise reduction-based data-driven modeling of relative humidity in Khulna, Bangladesh

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