LF-GNSS: Toward More Robust Satellite Positioning With a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3612654
Abstract: Global Navigation Satellite System (GNSS) is essential for unmanned systems and location-based technologies, providing critical geospatial information for navigation and situational awareness. However, GNSS performance degrades significantly in urban environments due to non-line-of-sight (NLOS) conditions… read more here.
Keywords: satellite; navigation; learning filtering; framework ... See more keywords
MDLF: Retrieving weak earthquake signals from highly noisy DAS data by moving-deep-learning filtering
Sign Up to like & getrecommendations! Published in 2025 at "GEOPHYSICS"
DOI: 10.1190/geo2024-0758.1
Abstract: Distributed acoustic sensing (DAS) technology utilizing fiber-optic cables offers a cost-effective and high-density approach for recording earthquake signals, particularly in comparison to conventional receivers. However, DAS recordings are often significantly degraded by strong ambient noise.… read more here.
Keywords: deep learning; learning filtering; mdlf; das data ... See more keywords
Learning as filtering: Implications for spike-based plasticity
Sign Up to like & getrecommendations! Published in 2022 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1009721
Abstract: Most normative models in computational neuroscience describe the task of learning as the optimisation of a cost function with respect to a set of parameters. However, learning as optimisation fails to account for a time-varying… read more here.
Keywords: filtering implications; spike based; plasticity; learning filtering ... See more keywords