Search Results - "Tabular Variational Autoencoder"

Prognosticating fabric-reinforced cementitious matrix-to-masonry bond and failure mechanisms using novel tabular variational autoencoder-augmented probabilistic model by Kumar, Aman, Marani, Afshin, Abbas, Asim, Nehdi, Moncef L.

“…Fabric-reinforced cementitious matrix (FRCM) composite strengthening has emerged as an environmentally friendly and less invasive solution, and entails…”
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Prediction of ultimate bearing capacity for rubberized concrete filled steel tube columns based on Tabular Variational Autoencoder method and Stacking ensemble strategy by Song, Zongming, Zhang, Chao, Lu, Yiyan

“…The application of rubberized concrete filled steel tube (RuCFST) structures can facilitate the recycling of used tires, offering a sustainable solution. In…”
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Innovations in early detection of chronic non-communicable diseases among adolescents through an easy-to-Use AutoML paradigm by Rankovic, Nevena, Rankovic, Dragica, Lukic, Igor

“…In this research, we present an interpretable AutoML approach for the early diagnosis of hypertension and hyperinsulinemia among adolescents, conditions that…”
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Landslide Susceptibility Assessment via Imbalanced Data Augmentation with Tabular Variational Autoencoder and Quality–Diversity Post-Selection by Xu, Zhengyang, Wang, Shitai, Yin, Min, Zhang, Xiaoyu, Lu, Zengyang, Yu, Songchao, Huang, Junjun

“…Landslides are among the most common geological hazards in mountainous regions, posing significant threats to resident safety and infrastructure stability. Due…”
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Enhanced classification of hydraulic testing of directional control valves with synthetic data generation by Neunzig, Christian, Möllensiep, Dennis, Hartmann, Melanie, Kuhlenkötter, Bernd, Möller, Matthias, Schulz, Jürgen

“…Production environments bring inherent system challenges that are reflected in the high-dimensional production data. The data is often nonstationary, is not…”
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A synthetic data-driven machine learning approach for athlete performance attenuation prediction by Cordeiro, Mauricio C., Cathain, Ciaran O., Daly, Lorcan, Kelly, David T., Rodrigues, Thiago B.

“…Athlete performance monitoring is effective for optimizing training strategies and preventing injuries. However, applying machine learning (ML) frameworks to…”
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Learning Performance Efficiency of College Basketball Players Using TVAE by Yahyasoltani, Nasim, Annapureddy, Priyanka, Farazi, Manzur

“…Monitoring workload is essential to evaluate possibility of fatigue or injuries and overall performance of the players. Large player's workload in any game…”
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