Artificial Intelligence And Structural Engineering
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Artificial Intelligence and Structural Engineering
This work shows how Information and Communications Technology (ICT) can contribute to children's learning, how it can be integrated into a play based curriculum and how it relates to key areas of learning such as collaboration, communication, exploration and socio-dramatic play. It outlines the ICT requirements in the UK Foundation Stage Curriculum Guidance, and it examines the international relevance and implications of ICT for young children. The text provides a critical account of the digital divide, suggesting practical strategies for all the individuals and institutions working towards social justice. It offers guidance for the development of centre based practice and on curriculum integration and the selection of developmentally appropriate educational software. It also explores ergonomic issues, as revealed by research. How should children sit at a computer? For how long? What are the risks? Emphasis is placed on the processes of policy development and the realization of change and guidance is given on how to use development plans and evaluation tools.
Artificial Intelligence and Machine Learning Techniques for Civil Engineering
In recent years, artificial intelligence (AI) has drawn significant attention with respect to its applications in several scientific fields, varying from big data handling to medical diagnosis. A tremendous transformation has taken place with the emerging application of AI. AI can provide a wide range of solutions to address many challenges in civil engineering. Artificial Intelligence and Machine Learning Techniques for Civil Engineering highlights the latest technologies and applications of AI in structural engineering, transportation engineering, geotechnical engineering, and more. It features a collection of innovative research on the methods and implementation of AI and machine learning in multiple facets of civil engineering. Covering topics such as damage inspection, safety risk management, and information modeling, this premier reference source is an essential resource for engineers, government officials, business leaders and executives, construction managers, students and faculty of higher education, librarians, researchers, and academicians.
Optimization and Artificial Intelligence in Civil and Structural Engineering
Author: B.H. Topping
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-03-14
This volume and its companion volume includes the edited versions of the principal lectures and selected papers presented at the NATO Advanced Study Institute on Optimization and Decision Support Systems in Civil Engineering. The Institute was held in the Department of Civil Engineering at Heriot-Watt University, Edinburgh from June 25th to July 6th 1989 and was attended by eighty participants from Universities and Research Institutes around the world. A number of practising civil and structural engineers also attended. The lectures and papers have been divided into two volumes to reflect the dual themes of the Institute namely Optimization and Decision Support Systems in Civil Engineering. Planning for this ASI commenced in late 1986 when Andrew Templeman and I discussed developments in the use of the systems approach in civil engineering. A little later it became clear that much of this approach could be realised through the use of knowledge-based systems and artificial intelligence techniques. Both Don Grierson and John Gero indicated at an early stage how important it would be to include knowledge-based systems within the scope of the Institute. The title of the Institute could have been: 'Civil Engineering Systems' as this would have reflected the range of systems applications to civil engineering problems considered by the Institute. These volumes therefore reflect the full range of these problems including: structural analysis and design; water resources engineering; geotechnical engineering; transportation and environmental engineering.