Cross-Regional Pavement Temperature Prediction Using Transfer Learning and Random Forest

Significant regional environmental differences result in varied patterns of pavement temperature changes. To enhance the cross-regional adaptability of temperature prediction models, transfer learning (TL) was introduced into the random forest (RF) model to improve its generalization capability. Fir...

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Hlavní autoři:	Jiang Yuan, Huailei Cheng, Lijun Sun, Yadong Cao, Ruikang Yang, Tian Jin, Mingchen Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-07-01
Edice:	Applied Sciences
Témata:	pavement temperature prediction ensemble learning random forest transfer learning cross-regional modeling
On-line přístup:	https://www.mdpi.com/2076-3417/15/13/7436
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