Applications of AI and IoT in Geotechnical Engineering for Sustainable Infrastructure
Applications of AI and IoT in Geotechnical Engineering for Sustainable Infrastructure
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Based on a total of 50,012 customer reviews from independent review platforms.
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The values are derived from publicly available retailer ratings from platforms such as Feefo, http://Reviews.io , Trustpilot, and others, and are aggregated monthly.
All brand names and logos are the property of their respective owners.
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Applications of AI and IoT in Geotechnical Engineering for Sustainable Infrastructure
Overall Rating: 2.4 / 5 (average from multiple review sources, as of 9 May 2026)
Based on a total of 47,062 customer reviews from independent review platforms.
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The values are derived from publicly available retailer ratings from platforms such as Feefo, http://Reviews.io , Trustpilot, and others, and are aggregated monthly.
All brand names and logos are the property of their respective owners.
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pricehunter.co.uk cannot guarantee that published shop ratings originate from consumers who have actually made a purchase from the reviewed retailer.
Based on a total of 47,062 customer reviews from independent review platforms.
Sources & Transparency:
The values are derived from publicly available retailer ratings from platforms such as Feefo, http://Reviews.io , Trustpilot, and others, and are aggregated monthly.
All brand names and logos are the property of their respective owners.
Notice:
pricehunter.co.uk cannot guarantee that published shop ratings originate from consumers who have actually made a purchase from the reviewed retailer.
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Artificial Intelligence (AI) and the Internet of Things (IoT) are transforming the way geotechnical engineers monitor, analyze, and manage soil-structure systems.Applications of AI and IoT in Geotechnical Engineering for Sustainable Infrastructure explores how these emerging digital technologies can enhance decision-making, improve infrastructure resilience, and support sustainable development in civil engineering projects.It examines integration of AI and IoT in geotechnical engineering including slope stability assessments, data driven techniques for soil classification and characterization, foundation and liquefaction analysis, optimizing earth work practices and operations, tunnels, and earth-retaining structures using real-time sensor networks and data-driven models.The book also discusses machine learning techniques for predicting soil behavior, real-time monitoring of pile foundations, automated site investigation methods, and digital tools for risk assessment and infrastructure
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