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Proceedings of the 5th International Conference on Sustainability in Civil Engineering - Volume 2 : ICSCE 2024, 23-25 October, Hanoi, Vietnam / edited by Nguyen-Viet Thanh, Long Nguyen-Ngoc, Thanh Bui-Tien, Tuan Nguyen-Quang, Guido De Roeck.

Springer eBooks EBA - Engineering Collection 2025 Available online

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Format:
Book
Author/Creator:
Thanh, Nguyen-Viet.
Contributor:
Nguyễn, Ngọc Long.
Bui-Tien, Thanh.
Nguyễn, Quảng Tuân.
De Roeck, Guido.
Series:
Lecture Notes in Civil Engineering, 2366-2565 ; 633
Language:
English
Subjects (All):
Environmental engineering.
Civil engineering.
Engineering geology.
Offshore structures.
Environmental Civil Engineering.
Geoengineering.
Offshore Engineering.
Local Subjects:
Environmental Civil Engineering.
Geoengineering.
Offshore Engineering.
Physical Description:
1 online resource (568 pages)
Edition:
1st ed. 2025.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Summary:
This book contains the proceedings of the 5th International Conference on Sustainability in Civil Engineering, ICSCE 2024, held on October 23–25, 2024, in Hanoi, Vietnam. It presents the expertise of scientists and engineers in academia and industry in the field of bridge and highway engineering, construction materials, environmental engineering, engineering in Industry 4.0, geotechnical engineering, structural damage detection and health monitoring, structural engineering, geographic information system engineering, traffic, transportation and logistics engineering, and water resources, estuary, and coastal engineering. This book caters to academics, researchers, industrial practitioners, policymakers who are interested in sustainable development as an indispensable trend in the field of civil engineering. .
Contents:
Air Quality Prediction Using Deep Learning Approaches
Utilizing Accelerometer Data and LSTM Model for Road Surface Detection
Air Passenger Forecasting: Leveraging the Power of Autoregressive Models
Performance Of Machine Learning For Predicting Load-Carrying Capacity Of Nonlinear Steel Trusses
Evaluating Regression And Classification Surrogate Models For Sizing Optimization Of Nonlinear Steel Trusses
Fuzzy Structural Analysis using Rao-kNNC-based Approach
Multi-objective optimization of I-shaped steel plate girders using NSGA-II
Using Classification and ANN Model to Predict Slump and Compressive Strength of Normal and High-Early Strength Concrete: A Study at a Concrete Batching Plant in Binh Thuan, Vietnam
Application of Long Short-Term Memory Networks in Bridge Damage Detection
An effective damage detection approach for a truss bridge using a hybrid deep learning model
etc.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9652-06-5
OCLC:
1525619208

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