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Development and Utilization of Bridge Data of the United States for Predicting Deck Condition Rating Using Random Forest, XGBoost, and Artificial Neural Network
Article describes how accurately predicting the condition rating of a bridge deck is crucial for effective maintenance and repair planning. This study aims to assess the effectiveness of these algorithms for deck condition rating prediction at the national level.
Date:
January 16, 2024
Creator:
Fard, Fariba & Fard, Fereshteh Sadeghi Naieni
System:
The UNT Digital Library
Excrescent vowels in Lamkang prefix sequences
Article examines the nature of the super-short vowel-like segments between the C- prefixes of the Lamkang language by combining acoustic analysis with speakers' intuitions about syllable structure. The authors argue that an accurate phonetic description of Lamkang vowels must include these super-short vowels, as well as long and short vowels, which are phonemically distinct.
Date:
January 14, 2020
Creator:
Burke, Mary; Chelliah, Shobhana Lakshmi & Robinson, Melissa
System:
The UNT Digital Library