Now showing items 76-78 of 55108

    • UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction 

      Yu, Dahai; Zhuang, Dingyi; Jiang, Lin; Xu, Rongchao; Ye, Xinyue; e.a. (ACM|The 33rd ACM International Conference on Advances in Geographic Information Systems, 2025-12-12)
      Spatiotemporal prediction plays a critical role in numerous real-world applications such as urban planning, transportation optimization, disaster response, and pandemic control. In recent years, researchers have made ...
    • SONAR Web: A Platform-Agnostic Framework for Real-Time Decentralized Learning Across Heterogeneous Edge Clients 

      Yuan, Joyce; Le, Brian; Le, Kathryn; Shi, Yichuan; Singh, Abhishek; e.a. (ACM|Federated Learning and Edge AI for Privacy and Mobility, 2025-12-02)
      Most federated learning (FL) frameworks assume reliable networks and homogeneous devices, limiting their applicability in mobile and edge environments where connectivity is intermittent and devices are highly heterogeneous. ...
    • Ferrozuit: Ferromagnetic Electronic Textile System for Zero-Gravity Spatial Anchoring 

      Honnet, Cedric; Freire, Rachel; Cherston, Juliana; Guenther, Maximilian; Paradiso, Joseph; e.a. (ACM|Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2025-12-29)
      Long-duration human space missions introduce persistent physical, physiological, and psychological challenges stemming from the absence of gravity. Beyond major concerns like bone deterioration, cardiovascular deconditioning, ...