MACHINE LEARNING APPLICATIONS IN CIVIL ENGINEERING.

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Bibliographic Details
Main Author: MESHRAM, KUNDAN
Format: Electronic eBook
Language:English
Published: [S.l.] : ELSEVIER - HEALTH SCIENCE, 2023.
Series:Woodhead Publishing series in civil and structural engineering
Subjects:
Online Access:ScienceDirect
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100 1 |a MESHRAM, KUNDAN. 
245 1 0 |a MACHINE LEARNING APPLICATIONS IN CIVIL ENGINEERING. 
260 |a [S.l.] :  |b ELSEVIER - HEALTH SCIENCE,  |c 2023. 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 0 |a Woodhead Publishing series in civil and structural engineering 
505 0 |a 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 
505 8 |a 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 
505 8 |a 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 
650 0 |a Machine learning. 
650 0 |a Civil engineering. 
650 6 |a Apprentissage automatique.  |0 (CaQQLa)201-0131435 
650 6 |a Génie civil.  |0 (CaQQLa)201-0000429 
650 7 |a civil engineering.  |2 aat  |0 (CStmoGRI)aat300054481 
650 7 |a Civil engineering  |2 fast  |0 (OCoLC)fst00862488 
650 7 |a Machine learning  |2 fast  |0 (OCoLC)fst01004795 
776 0 8 |i Print version:  |z 9780443153631 
776 0 8 |i Print version:  |z 0443153647  |z 9780443153648  |w (OCoLC)1370924391 
856 4 0 |3 ScienceDirect  |u https://www.sciencedirect.com/science/book/9780443153648