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Proceedings of the 5th International...
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International Conference on Sustainability in Civil Engineering (2024 :)
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Proceedings of the 5th International Conference on Sustainability in Civil Engineering. = ICSCE 2024, 23-25 October, Hanoi, Vietnam /. Volume 2
Record Type:
Electronic resources : Monograph/item
Title/Author:
Proceedings of the 5th International Conference on Sustainability in Civil Engineering./ edited by Nguyen-Viet Thanh ... [et al.].
Reminder of title:
ICSCE 2024, 23-25 October, Hanoi, Vietnam /
remainder title:
ICSCE 2024
other author:
Thanh, Nguyen-Viet.
corporate name:
International Conference on Sustainability in Civil Engineering
Published:
Singapore :Springer Nature Singapore : : 2025.,
Description:
xxii, 412 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Sustainable engineering - Congresses. -
Online resource:
https://doi.org/10.1007/978-981-96-5206-8
ISBN:
9789819652068
Proceedings of the 5th International Conference on Sustainability in Civil Engineering. = ICSCE 2024, 23-25 October, Hanoi, Vietnam /. Volume 2
Proceedings of the 5th International Conference on Sustainability in Civil Engineering.
ICSCE 2024, 23-25 October, Hanoi, Vietnam /Volume 2[electronic resource] :ICSCE 2024edited by Nguyen-Viet Thanh ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xxii, 412 p. :ill. (some col.), digital ;24 cm. - Lecture notes in civil engineering,v. 6332366-2565 ;. - Lecture notes in civil engineering ;v. 633..
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.
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.
ISBN: 9789819652068
Standard No.: 10.1007/978-981-96-5206-8doiSubjects--Topical Terms:
3205843
Sustainable engineering
--Congresses.
LC Class. No.: TA163 / .I58 2024
Dewey Class. No.: 628
Proceedings of the 5th International Conference on Sustainability in Civil Engineering. = ICSCE 2024, 23-25 October, Hanoi, Vietnam /. Volume 2
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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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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.
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based on 0 review(s)
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電子資源
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Items
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Attachments
W9518936
電子資源
11.線上閱覽_V
電子書
EB TA163 .I58 2024
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