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15 papers · 2 filters
Generative Adversarial Networks for Labelled Vibration Data Generation
Furkan Luleci, F. Necati Catbas, Onur Avci
As Structural Health Monitoring (SHM) being implemented more over the years, the use of operational modal analysis of civil structures has become more significant for the assessmen…
Generative Adversarial Networks for Data Generation in Structural Health Monitoring
Furkan Luleci, F. Necati Catbas, Onur Avci
Structural Health Monitoring (SHM) has been continuously benefiting from the advancements in the field of data science. Various types of Artificial Intelligence (AI) methods have b…
Generative Adversarial Networks for Labeled Acceleration Data Augmentation for Structural Damage Detection
Furkan Luleci, F. Necati Catbas, Onur Avci
There has been a major advance in the field of Data Science in the last few decades, and these have been utilized for different engineering disciplines and applications. Artificial…
Resilience from Diversity: Population-based approach to harden models against adversarial attacks
Jasser Jasser, Ivan Garibay
Traditional deep learning networks (DNN) exhibit intriguing vulnerabilities that allow an attacker to force them to fail at their task. Notorious attacks such as the Fast Gradient…
Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning
Dongjie Wang, Kunpeng Liu, David Mohaisen +3
Automated characterization of spatial data is a kind of critical geographical intelligence. As an emerging technique for characterization, Spatial Representation Learning (SRL) use…
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification
Meng Xiao, Ziyue Qiao, Yanjie Fu +2
To advance the development of science and technology, research proposals are submitted to open-court competitive programs developed by government agencies (e.g., NSF). Proposal cla…