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

• 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
• Institution: Universiti Teknologi Malaysia

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...