M. Z. Naser is a tenure-track Assistant Professor at the Department of Civil and Environmental Engineering and Earth Sciences and a member of the Artificial Intelligence Research Institute for Science and Engineering (AIRISE) at Clemson University. At the moment, his research group is creating causal & eXplainable machine learning methodologies to discover new knowledge hidden within systems belonging to the domains of structural engineering and materials science to help realize functional, sustainable, and resilient infrastructure. He is currently serving as the chair of the ASCE Advances in Information Technology committee and on a number of international editorial boards, as well as codal building committees (in ASCE, ACI, PCI, and FiB). He is a registered professional engineer in the states of Michigan and South Carolina.
Télécharger le livre :  Construction Materials and Their Properties for Fire Resistance and Insulation

Construction Materials and Their Properties for Fire Resistance and Insulation covers the properties of novel types of concrete and other more conventional building materials in fire scenarios. The volume also stands out as an invaluable reference resource for its...
Editeur : Woodhead Publishing
Parution : 2024-10-29

Format(s) : epub sans DRM
225,76

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Télécharger le livre :  Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure

The past few years have demonstrated how civil infrastructure continues to experience an unprecedented scale of extreme loading conditions (i.e. hurricanes, wildfires and earthquakes). Despite recent advancements in various civil engineering disciplines, specific to the...
Editeur : Woodhead Publishing
Parution : 2023-10-18

Format(s) : epub sans DRM
179,35

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Télécharger le livre :  Machine Learning for Civil and Environmental Engineers

Accessible and practical framework for machine learning applications and solutions for civil and environmental engineers This textbook introduces engineers and engineering students to the applications of artificial intelligence (AI), machine learning (ML), and machine...
Editeur : Wiley
Parution : 2023-07-17

Format(s) : PDF, ePub
72,16

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