Convolutional neural networks and applications on civil infrastructure / Onur Avci, Osama Abdeljaber, Serkan Kiranyaz, Turker Ince and Daniel J. Inman -- Identifying non-linearity in construction workers' personality : safety behaviour predictive relationship using neural network and linear regression modelling / Yifan Gao, Vicente A. González, Tak Wing Yiu and Guillermo Cabrera-Guerrero -- Machine learning framework for predicting failure mode and flexural capacity of FRP-Reinforced beams / Ahmad N. Tarawneh and Eman F. Saleh.

"The design, construction, and upkeep of infrastructure comprises of a multitude of dimensions spanning a highly complex paradigm of interconnecting opportunities and challenges. While traditional methods fall short of adequately accounting for such complexity, fortunately, artificial intelligence (AI) presents novel and out-of-the-box solutions that can effectively tackle growing demands of modern and aging infrastructure including specifics regarding to structural design, traffic planning, energy requirements, human behavior etc. - especially in this era where infrastructure is reaching new heights, serving larger populations, and expected to withstand increasing natural and manmade threats. All in, this book highlights the growing inertia of utilizing AI to realize contemporary, smart and safe infrastructure. This is an emerging area that has not fully matured and is expected to draw considerable interest, attention and research in the years to come. This book marks a tangible attempt into assembling relative works, of interdisciplinary backgrounds, to a state-of-the-art handbook. In a sense, this book presents results of innovative efforts supplemented with case studies that can be used as benchmarks to carryout future experiments and/or facilitate development of advanced numerical models. Thus, this handbook aims to revolutionize the state of infrastructural engineering and sciences through fostering a new set of approaches that capitalizes on AI as their main drive. This book is written with the intention to serve as a guide for a wide audience including graduate and senior undergraduate students, professionals and government officials of civil, traffic and computer engineering backgrounds as well as for those engaged in urban planning discipline and human sciences"-- Provided by publisher.

OCLC-licensed vendor bibliographic record.