Implementation of Predictive Machine Learning Algorithms on Heated Geothermal Bridge Data-Reference-Cited by-同舟云学术

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Implementation of Predictive Machine Learning Algorithms on Heated Geothermal Bridge Data

Published:2024-04-13 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI)
language:
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Author:

Soleimani Faezeh¹,Bidi Saeed²,Habibzadeh-Bigdarvish Omid³,Yu Xinbao³

Affiliation:

1. Ball State University,Department of Mathematical Sciences,Muncie,Indiana,USA

2. Wolfson Institute of Population Health, Queen Mary University of London,London,United Kingdom

3. The University of Texas at Arlington,Department of Civil Engineering,Arlington,Texas,USA

Funder

Ball State University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10585267/10585616/10585756.pdf?arnumber=10585756

Reference17 articles.

1. Hybridization of evolutionary Levenberg–Marquardt neural networks and data pre-processing for stock market prediction

2. Life-Cycle cost-benefit analysis of Bridge deck de-icing using geothermal heat pump system: A case study of North Texas

3. Road surface temperature prediction based on gradient extreme learning machine boosting

4. Traffic big data prediction and visualization using Fast Incremental Model Trees-Drift Detection (FIMT-DD)

5. Intelligent cost-effective winter road maintenance by predicting road surface temperature using machine learning techniques

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