David Jeong).Pages 89-97Īssessment of Effect of Strain Amplitude and Strain Ratio on Energy Dissipation Using Machine Learning (Jamal A. Guidance System for Directional Control in Shield Tunneling Using Machine Learning Techniques (Kensuke Wada, Hirokazu Sugiyama, Kojiro Nozawa, Makoto Honda, Shinya Yamamoto).Pages 73-88Ĭlassification of the Requirement Sentences of the US DOT Standard Specification Using Deep Learning Algorithms (Kahyun Jeon, Ghang Lee, H. Cheng).Pages 41-53Īutomating the Generation of 3D Multiple Pipe Layout Design Using BIM and Heuristic Search Methods (Jyoti Singh, Jack C. Use of Artificial Intelligence in a Regulated Design Environment – A Beam Design Example (Ebrahim Karan, Mahdi Safa, Min Jae Suh).Pages 16-25Īn Interview-Based Method for Extracting Knowledge of Skilled Workers at Construction Sites Using Photographs and Deep Learning (Yuichi Yashiro, Rikio Ueda, Fumio Hatori, Nobuyoshi Yabuki).Pages 26-40Įnriched and Discriminative Human Features for Person Re-Identification Based on Explainable Behaviors of Convolutional Neural Networks (Peter Kok-Yiu Wong, Han Luo, Mingzhu Wang, Jack C. Artificial Intelligence Techniques for Smart City Applications (Daniel Luckey, Henrieke Fritz, Dmitrii Legatiuk, Kosmas Dragos, Kay Smarsly).Pages 3-15

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