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    <title>Intelligent Bridge Maintenance and Management</title>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
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    <extent>XVIII, 463 p. 292 illus., 180 illus. in color. online resource.</extent>
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  <abstract>This book provides a timely introduction to the methodology of Intelligent Bridge Maintenance and Management (IBM&amp;M) and a comprehensive synthesis of emerging digital technologies for realizing IBM&amp;M. The authors, who carry research, teaching, and consulting experience in the USA, Japan, and China, present the background, principles, methods, and application examples of essential IBM&amp;M solutions in eight dedicated chapters. The digital technologies covered in this book include: • Artificial intelligence, big data, machine learning, computer vision. • Data fusion, 3D building information, digital twin modeling, virtual and augmented reality. • Internet of things sensors, robotics including unmanned vehicles. The book targets the audience in the broader Bridge Engineering community, including academic researchers, students, bridge owners, and technology providers.</abstract>
  <tableOfContents>Introduction -- Intelligent Bridge Maintenance and Management System -- IoT Sensing Technology -- Bridge Inspection Automation -- Big Data Enabled Computating.</tableOfContents>
  <note type="statement of responsibility">by Gang Wu, ZhiQiang Chen, Ji Dang.</note>
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    <topic>Facility management</topic>
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  <identifier type="isbn">9789819738274</identifier>
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