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MACHINE LEARNING APPLICATIONS IN CIVIL ENGINEERING.

Bibliographic Details
Main Author: MESHRAM, KUNDAN
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: [S.l.] : ELSEVIER - HEALTH SCIENCE, 2023.
Series:Woodhead Publishing series in civil and structural engineering
Subjects:
Machine learning.
Civil engineering.
Apprentissage automatique.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Cover
  • Machine Learning Applications in Civil Engineering
  • Copyright Page
  • Contents
  • Preface
  • 1 Introduction to machine learning for civil engineering
  • 1.1 Introduction to machine learning for civil engineering
  • 1.2 What is machine learning and how can it be useful for optimization of civil engineering applications?
  • 1.3 Use-case based review analysis of machine learning models for optimization of construction speed
  • 1.4 Optimization of civil engineering tasks via machine learning-based system designs
  • 1.5 Use of machine learning for different civil engineering areas
  • 4 Introduction to classification models for civil engineering applications
  • 4.1 Introduction
  • 4.2 What is classification and how can it be used to optimize civil engineering applications?
  • 4.3 Use case for geotechnical engineering
  • 4.4 Use case for structural engineering applied to 3D building information modeling
  • 4.5 Use case for water resources engineering
  • 4.6 Use case for environmental parameter classifications
  • 4.7 Use case for structural health monitoring system with structural design and analysis
  • 4.8 Use case for remote sensing geometric information system applications
  • 6.3 Issues with convolutional neural networks when applied to civil engineering tasks
  • 6.4 Applications of convolutional neural networks for different fields of civil engineering
  • References
  • 7 Advanced classification models II: extensions to convolutional neural networks
  • 7.1 Introduction to recurrent neural networks
  • 7.2 Long short-term memory
  • 7.3 Gated recurrent units
  • 7.4 Real-time applications of recurrent neural networks to civil engineering tasks
  • 7.5 A use case of geographic information system application and its solutions with different deep learning models
  • References