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RISComparative Effectiveness of Data Augmentation Using Traditional Approaches versus StyleGANs in Automated Sewer Defect Detection
Publisher: ASCE
Abstract: This study compared how traditional data augmentation and the state-of-the-art style-based generative adversarial network (StyleGAN) benefit automated sewer defect detection using a You Only Look Once (YOLO) object detection ...
Performance of Recycled Plastic-Based Concrete
Publisher: American Society of Civil Engineers
Abstract: This paper reports an experimental study on recycled plastic concrete (RPC) that uses recycled acrylonitrile-butadiene-styrene/polycarbonate copolymer (ABS/PC) plastic particles to replace 5, 10, 15, and 20% (in volume) ...
Numerical Analysis on Shear Behavior of Grouped Head Stud Shear Connectors between Steel Girders and Precast Concrete Slabs with High-Strength Concrete-Filled Shear Pockets
Publisher: ASCE
Abstract: This study numerically investigated the shear behavior of novel composite shear connectors, which consisted of grouped head studs embedded in high-strength concrete-filled (HSC-filled) shear pockets. The shear pockets were ...
Convolutional Neural Networks–Based Model for Automated Sewer Defects Detection and Classification
Publisher: ASCE
Abstract: Automated detection and classification of sewer defects can complement the conventional labor-intensive sewer inspection process by providing an essential tool to classify sewer defects in a more efficient, accurate, and ...