Publications by authors named "Huong-Lan Thi Vu"

Determination of pile bearing capacity is essential in pile foundation design. This study focused on the use of evolutionary algorithms to optimize Deep Learning Neural Network (DLNN) algorithm to predict the bearing capacity of driven pile. For this purpose, a Genetic Algorithm (GA) was developed to select the most significant features in the raw dataset.

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Development of Foamed Concrete (FC) and incessant increases in fabrication technology have paved the way for many promising civil engineering applications. Nevertheless, the design of FC requires a large number of experiments to determine the appropriate Compressive Strength (CS). Employment of machine learning algorithms to take advantage of the existing experiments database has been attempted, but model performance can still be improved.

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Article Synopsis
  • Community-acquired K. pneumoniae pneumonia is prevalent in Asia and connected to alcohol use, with little existing knowledge on oropharyngeal carriage rates and related factors.
  • A study conducted in Vietnam surveyed 1,029 individuals randomly selected based on demographics, finding an overall K. pneumoniae carriage rate of 14.1% and identifying key risk factors.
  • Findings show that older age, smoking, rural living, and moderate to heavy alcohol consumption increase the likelihood of K. pneumoniae carriage, but further research is needed to determine if this carriage leads to pneumonia.
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