Civil Engineering for Multi-Hazard Risk Reduction

Civil Engineering for Multi-Hazard Risk Reduction portes grátis

Civil Engineering for Multi-Hazard Risk Reduction

Select Proceedings of IACESD 2023

Kolathayar, Sreevalsa; Sreekeshava, K. S.; Vinod Chandra Menon, N.

Springer Verlag, Singapore

03/2024

497

Dura

Inglês

9789819996094

15 a 20 dias

Descrição não disponível.
Civil Engineering for Multi-hazard Risk Reduction- An Introduction.- Exploring Walkable Localities as Organizing Principle of City Plan.- Prediction of Noise Pollution of Delhi City Using Machine Learning: A Case Study.- Smart Water Management: Using Machine Learning to Analyze Water Quality Index.- Artificial Neural Networks Modelling for Predicting Water Quality in the Surface Waters of Western Godavari Delta, India.- IoT Based Patrolling Robot for Construction Sites.- Innovative Exploration Techniques: Utilizing IoT-enabled Robots for Safe and Efficient Underground Tunnel Investigation.- Event-based Sensing for Improved Traffic Detection and Tracking in Intelligent Transport Systems Towards Sustainable Mobility.- Human Activity Recognition in Construction Industry Using Machine Learning Pose Estimation Technique.- Soil Moisture Detection Using Arduino Sensor and Ann Prediction.- Reliability Analysis of Clayey Soil Slope Stability Using GMDH and RFC Soft Computing Techniques.- Prediction of Residual Strength after Liquefaction Using Artificial Intelligence Model.- Application of Digital Image Correlation Technique in Geotechnical Engineering.- SSI on Geodesic Dome Using RSM and Comparison with Ann.- Overlap of the Safety Distance of the Gas and Oil Pipeline Network with the Urban Area of the City of Mohammedia Morocco.
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Sustainable and Resilient Communities;Sustainable Construction Materials;Disaster Resilient Infrastructure;Sustainable Geotechnics;Net Zero Targets