Jayatheja muktinutalapati (6 résultats)

Etat : New.

Etat : New. Vedprakash C. Maralapalle is an Associate Professor at the L. S. Raheja School of Architecture, Mumbai, India. He holds a Ph.D. in Civil Engineering from NMIMS University, Mumbai, with research focused on the physical modelling and numerical analy.

Buch. Etat : Neu. Neuware - 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 the integration of AI and IoT in geotechnical engineering, including slope stability assessments, datädriven techniques for soil classification and characterization, foundation and liquefaction analysis, optimizing earthwork practices and operations, tunnels, and earth¿retaining structures using real¿time sensor networks and datädriven models. This 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 health monitoring/assessment.This book is intended for researchers, graduate students, and practicing engineers in geotechnical and civil engineering. It will also benefit professionals working in smart infrastructure, disaster risk reduction, and infrastructure asset management who are interested in integrating digital technologies into sustainable engineering practice.…

Hardcover. Etat : new. Hardcover. Artificial intelligence (AI) and the Internet of Things (IoT) are transforming the way geotechnical engineers monitor, analyze, and manage soilstructure systems. Applications of AI and IoT in Geotechnical Engineering for Sustainable Infrastructure explores how these emerging digital technologies can enhance decisionmaking, improve infrastructure resilience, and support sustainable development in civil engineering projects. It examines the integration of AI and IoT in geotechnical engineering, including slope stability assessments, datadriven techniques for soil classification and characterization, foundation and liquefaction analysis, optimizing earthwork practices and operations, tunnels, and earthretaining structures using realtime sensor networks and datadriven models. This book also discusses machine learning techniques for predicting soil behavior, realtime monitoring of pile foundations, automated site investigation methods, and digital tools for risk assessment and infrastructure health monitoring/assessment.This book is intended for researchers, graduate students, and practicing engineers in geotechnical and civil engineering. It will also benefit professionals working in smart infrastructure, disaster risk reduction, and infrastructure asset management who are interested in integrating digital technologies into sustainable engineering practice. This book is intended for researchers, graduate students, and practicing engineers in geotechnical and civil engineering. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Etat : new. Hardcover. Artificial intelligence (AI) and the Internet of Things (IoT) are transforming the way geotechnical engineers monitor, analyze, and manage soilstructure systems. Applications of AI and IoT in Geotechnical Engineering for Sustainable Infrastructure explores how these emerging digital technologies can enhance decisionmaking, improve infrastructure resilience, and support sustainable development in civil engineering projects. It examines the integration of AI and IoT in geotechnical engineering, including slope stability assessments, datadriven techniques for soil classification and characterization, foundation and liquefaction analysis, optimizing earthwork practices and operations, tunnels, and earthretaining structures using realtime sensor networks and datadriven models. This book also discusses machine learning techniques for predicting soil behavior, realtime monitoring of pile foundations, automated site investigation methods, and digital tools for risk assessment and infrastructure health monitoring/assessment.This book is intended for researchers, graduate students, and practicing engineers in geotechnical and civil engineering. It will also benefit professionals working in smart infrastructure, disaster risk reduction, and infrastructure asset management who are interested in integrating digital technologies into sustainable engineering practice. This book is intended for researchers, graduate students, and practicing engineers in geotechnical and civil engineering. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Etat : new. Hardcover. Artificial intelligence (AI) and the Internet of Things (IoT) are transforming the way geotechnical engineers monitor, analyze, and manage soilstructure systems. Applications of AI and IoT in Geotechnical Engineering for Sustainable Infrastructure explores how these emerging digital technologies can enhance decisionmaking, improve infrastructure resilience, and support sustainable development in civil engineering projects. It examines the integration of AI and IoT in geotechnical engineering, including slope stability assessments, datadriven techniques for soil classification and characterization, foundation and liquefaction analysis, optimizing earthwork practices and operations, tunnels, and earthretaining structures using realtime sensor networks and datadriven models. This book also discusses machine learning techniques for predicting soil behavior, realtime monitoring of pile foundations, automated site investigation methods, and digital tools for risk assessment and infrastructure health monitoring/assessment.This book is intended for researchers, graduate students, and practicing engineers in geotechnical and civil engineering. It will also benefit professionals working in smart infrastructure, disaster risk reduction, and infrastructure asset management who are interested in integrating digital technologies into sustainable engineering practice. This book is intended for researchers, graduate students, and practicing engineers in geotechnical and civil engineering. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…