Tag: data fusion
Continuous Latent Spaces for Multi-Task Multi-Modal Learning
August 25, 2026Abstract: Recent advances in remote sensing have expanded Earth observation through an increasing number of sensing modalities, where each sensor provides distinct spectral, spatial, and temporal information. Effective analysis of these data depends on learning representations that integrate complementary information across modalities while supporting multiple learning objectives. Multi-task multi-modal learning in remote sensing remains challenging […]
Read more: Continuous Latent Spaces for Multi-Task Multi-Modal Learning »MIMRF Published in TGRS!
March 27, 2020Congratulations to GatorSense alumna, Xiaoxiao Du! Her paper, titled “Multi-resolution Multi-modal Sensor Fusion For Remote Sensing Data with Label Uncertainty”, was recently published in IEEE Transactions on Geoscience and Remote Sensing. Check it out here!
Read more: MIMRF Published in TGRS! »Hybrid data-driven physics model-based framework for enhanced cyber-physical smart grid security
October 3, 2019Abstract: This paper presents a hybrid data-driven physics model-based framework for real time monitoring in smart grids. As the power grid transitions to the use of smart grid technology, it’s real time monitoring becomes more vulnerable to cyber attacks like false data injections (FDI). Although smart grids cyber-physical security has an extensive scope, this paper […]
Read more: Hybrid data-driven physics model-based framework for enhanced cyber-physical smart grid security »