A Structural Impairment Detection System Using Competitive Arrays of Artificial Neural Networks. - Brett A. Story; Gary T. Fry (Comput. Aided Civ. Infrastructure Eng., 2014)

Competitive probabilistic neural network. - Yasha Zeinali; Brett A. Story (Integr. Comput. Aided Eng., 2017)

Accurate Vehicle Detection Using Multi-camera Data Fusion and Machine Learning. - Hao Wu; Xinxiang Zhang; Brett A. Story; Dinesh Rajan (ICASSP, 2019)

Concrete crack detection using context-aware deep semantic segmentation network. - Xinxiang Zhang; Dinesh Rajan; Brett A. Story (Comput. Aided Civ. Infrastructure Eng., 2019)

Design and field implementation of an impact detection system using committees of neural networks. - Jase D. Sitton; Yasha Zeinali; Brett A. Story (Expert Syst. Appl., 2019)

Measurement of Three-Dimensional Structural Displacement Using a Hybrid Inertial Vision-Based System. - Xinxiang Zhang; Yasha Zeinali; Brett A. Story; Dinesh Rajan (Sensors, 2019)

Night Time Vehicle Detection and Tracking by Fusing Sensor Cues from Autonomous Vehicles. - Xinxiang Zhang; Brett A. Story; Dinesh Rajan (VTC Spring, 2020)

Night Time Vehicle Detection and Tracking by Fusing Vehicle Parts From Multiple Cameras. - Xinxiang Zhang; Brett A. Story; Dinesh Rajan (IEEE Trans. Intell. Transp. Syst., 2022)

Damage scenario analysis of bridges using crowdsourced smartphone data from passing vehicles. - Jase D. Sitton; Dinesh Rajan; Brett A. Story (Comput. Aided Civ. Infrastructure Eng., 2024)

Parallel heterogeneous data-fusion convolutional neural networks for improved rail bridge strike detection. - Hussam Khresat; Jase D. Sitton; Brett A. Story (Comput. Aided Civ. Infrastructure Eng., 2024)