Proceedings of the 5th International Conference on Sustainability in Civil Engineering - Volume 2
ICSCE 2024, 23-25 October, Hanoi, Vietnam
Series: Lecture Notes in Civil Engineering; 633;
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Product details:
- Publisher Springer Nature Singapore
- Date of Publication 21 June 2025
- Number of Volumes 1 pieces, Book
- ISBN 9789819652051
- Binding Hardback
- No. of pages412 pages
- Size 235x155 mm
- Language English
- Illustrations XXII, 412 p. 127 illus., 107 illus. in color. Illustrations, black & white 664
Categories
Long description:
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.
MoreTable of 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.
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