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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| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
Elsevier Inc.
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/104527/ http://dx.doi.org/10.1016/j.suscom.2022.100721 |
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