@article{1447842,
      recid = {1447842},
      author = {Naser, M. Z. and Corbett, Glenn.},
      title = {Handbook of cognitive and autonomous systems for fire  resilient infrastructures/},
      publisher = {Springer,},
      address = {Cham, Switzerland :},
      pages = {1 online resource},
      year = {2022},
      abstract = {This handbook aims at modernizing the current state of  civil engineering and firefighting, especially in this era  where infrastructures are reaching new heights, serving  diverse populations, and being challenged by unique  threats. Its aim is to set the stage toward realizing  contemporary, smart, and resilient infrastructure. The  Handbook of Cognitive and Autonomous Systems for Fire  Resilient Infrastructures draws convergence between civil  engineering and firefighting to the modern realm of  interdisciplinary sciences (i.e., artificial intelligence,  IoT, robotics, sensing, and human psychology). As such,  this work aims to revolutionize the current philosophy of  design for one of the most notorious extreme events: fire.  Unlike other publications, which are narrowed to one  specific research area, this handbook cultivates a paradigm  in which critical aspects of structural design, technology,  and human behavior are studied and examined through  chapters written by leaders in their fields. This handbook  can also serve as a textbook for graduate and senior  undergraduate students in Civil, Mechanical, and Fire  Protection engineering programs as well as for students in  Architectural and social science disciplines. Students,  engineers, academics, professionals, scientists,  firefighters, and government officials involved in national  and international societies such as the American Society of  Civil Engineers (ASCE), Society of Fire Protection  Engineers (SFPE), National Fire Protection Association  (NFPA), and Institute of Electrical and Electronics  Engineers (IEEE), among others, will benefit from this  handbook.},
      url = {http://library.usi.edu/record/1447842},
      doi = {https://doi.org/10.1007/978-3-030-98685-8},
}