A Novel Approach for Deterioration and Damage Identification in Building Structures Based on Stockwell-Transform and Deep Convolutional Neural Network

no code implementations • 11 Nov 2021 • Vahidreza Gharehbaghi, Hashem Kalbkhani, Ehsan Noroozinejad Farsangi, T. Y. Yang, Andy Nguyen, Seyedali Mirjalili, C. Malaga-Chuquitaype

In this paper, a novel deterioration and damage identification procedure (DIP) is presented and applied to building models.

Influence of image noise on crack detection performance of deep convolutional neural networks

no code implementations • 3 Nov 2021 • Riccardo Chianese, Andy Nguyen, Vahidreza Gharehbaghi, Thiru Aravinthan, Mohammad Noori

Much research has been conducted on classifying cracks from image data using deep convolutional neural networks; however, minimal research has been conducted to study the efficacy of network performance when noisy images are used.

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Application of 2-D Convolutional Neural Networks for Damage Detection in Steel Frame Structures

no code implementations • 29 Oct 2021 • Shahin Ghazvineh, Gholamreza Nouri, Seyed Hossein Hosseini Lavassani, Vahidreza Gharehbaghi, Andy Nguyen

In this paper, we present an application of 2-D convolutional neural networks (2-D CNNs) designed to perform both feature extraction and classification stages as a single organism to solve the highlighted problems.