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Automation and Robotics in the Architecture, Engineering, and
Construction Industry provides distinct and unified insight into
current and future construction robotics, offering readers a
comprehensive perspective for constructing a road map and
illuminating improvements for a successful transition towards
construction robotization. The book covers the fundamentals and
applications of robotics, autonomous vehicles, and human-perceptive
machines at construction sites. Through theoretical and
experimental analyses, it examines the potential of robotics and
automated systems for current and future fieldwork operations and
identifies the factors that determine their implementation pace,
adoption scale, and ubiquity throughout the industry. The book
evaluates the technical, societal, and economic aspects of adopting
robots in construction, both as standalone and collaborative
systems, which in return can afford the opportunity to investigate
these AI-enabled machines more systematically.
This book evaluates the role of innovative machine learning and
deep learning methods in dealing with power system issues,
concentrating on recent developments and advances that improve
planning, operation, and control of power systems. Cutting-edge
case studies from around the world consider prediction,
classification, clustering, and fault/event detection in power
systems, providing effective and promising solutions for many novel
challenges faced by power system operators. Written by leading
experts, the book will be an ideal resource for researchers and
engineers working in the electrical power engineering and power
system planning communities, as well as students in advanced
graduate-level courses.
Automation and Robotics in the Architecture, Engineering, and
Construction Industry provides distinct and unified insight into
current and future construction robotics, offering readers a
comprehensive perspective for constructing a road map and
illuminating improvements for a successful transition towards
construction robotization. The book covers the fundamentals and
applications of robotics, autonomous vehicles, and human-perceptive
machines at construction sites. Through theoretical and
experimental analyses, it examines the potential of robotics and
automated systems for current and future fieldwork operations and
identifies the factors that determine their implementation pace,
adoption scale, and ubiquity throughout the industry. The book
evaluates the technical, societal, and economic aspects of adopting
robots in construction, both as standalone and collaborative
systems, which in return can afford the opportunity to investigate
these AI-enabled machines more systematically.
This book evaluates the role of innovative machine learning and
deep learning methods in dealing with power system issues,
concentrating on recent developments and advances that improve
planning, operation, and control of power systems. Cutting-edge
case studies from around the world consider prediction,
classification, clustering, and fault/event detection in power
systems, providing effective and promising solutions for many novel
challenges faced by power system operators. Written by leading
experts, the book will be an ideal resource for researchers and
engineers working in the electrical power engineering and power
system planning communities, as well as students in advanced
graduate-level courses.
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