An interpretable and stacking ensemble model for predicting heat and mass transfer of desiccant wheel
The Solid desiccant air conditioning system is popular due to their thorough dehumidification, low energy consumption, and independent temperature and humidity control. In order to design, simulate and optimize the solid desiccant air conditioning system, an accurate model of desiccant wheel must be...
Saved in:
Main Authors: | Mengyang Li, Liu Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | Results in Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025002671 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing breast cancer prediction through stacking ensemble and deep learning integration
by: Fatih Gurcan
Published: (2025-02-01) -
Assessing chemical exposure risk in breastfeeding infants: An explainable machine learning model for human milk transfer prediction
by: Xiaojie Huang, et al.
Published: (2025-01-01) -
Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model
by: Qingqing Lin, et al.
Published: (2025-01-01) -
Implementasi Algoritma Catboost Dan Shapley Additive Explanations (SHAP) Dalam Memprediksi Popularitas Game Indie Pada Platform Steam
by: Mohammad Teddy Syamkalla, et al.
Published: (2024-08-01) -
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME
by: Ahmed M. Salih, et al.
Published: (2025-01-01)