A novel approach to assess the cyclone impacts on the brick veneer house of Australia using hybrid natural language processing

This publication has 27 references indexed in Scilit:

• Mining construction accident reports via unsupervised NLP and Accimap for systemic risk analysis
  Automation in Construction, 2024
• Application of natural language processing in residential building defects analysis: Australian stakeholders' perceptions, causes and types
  Engineering Applications of Artificial Intelligence, 2023
• Cyclic response of infilled RC frames with window and door openings: Experimental results and damage interpretation
  Earthquake Engineering & Structural Dynamics, 2023
• On-site text classification and knowledge mining for large-scale projects construction by integrated intelligent approach
  Advanced Engineering Informatics, 2021
• AI-based prediction of independent construction safety outcomes from universal attributes
  Automation in Construction, 2020
• Brick masonry response to wind driven rain
  Engineering Structures, 2020
• Comparing the performance of brick and timber in residential buildings – The case of Australia
  Energy and Buildings, 2018
• Finite element modelling of the structural response of roof to wall framing connections in timber-framed houses
  Engineering Structures, 2017
• Load sharing and structural response of roof–wall system in a timber-framed house
  Engineering Structures, 2016
• Construction tradition for housing determines disaster potential from severe tropical cyclones
  Journal of Wind Engineering and Industrial Aerodynamics, 1983