Holdings: Earth skin temperature long-term prediction using novel extended Kalman filter integrated with Artificial Intelligence models and information gain feature selection

Earth skin temperature long-term prediction using novel extended Kalman filter integrated with Artificial Intelligence models and information gain feature selection

Predictions of Earth skin temperature (EST) can provide essential information for diverse engineering applications such as energy harvesting and agriculture activities. Several synoptic climate parameters influence EST, and its prediction and quantification is highly complex and challenging. The cur...

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Bibliographic Details
Main Authors:	Jamei, Mehdi, Karbasi, Masoud, Alawi, Omer A., Mohamed Kamar, Haslinda, Mohamed Khedher, Khaled, Abba, S. I., Yaseen, Zaher Mundher
Format:	Article
Published:	Elsevier Inc. 2022
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/104527/ http://dx.doi.org/10.1016/j.suscom.2022.100721
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http://eprints.utm.my/104527/
http://dx.doi.org/10.1016/j.suscom.2022.100721

Earth skin temperature long-term prediction using novel extended Kalman filter integrated with Artificial Intelligence models and information gain feature selection

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