Scalable intermediate-term earthquake forecasting with multimodal fusion neural networks
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-93877-7
Abstract: Seismology is witnessing rapid growth in both the volume and variety of earthquake observational data, but current tools for effectively integrating these heterogeneous data remain limited. Here, we propose SafeNet, a scalable deep learning framework… read more here.
Keywords: fusion neural; term; fusion; multimodal fusion ... See more keywords
ATG2A acts as a tether to regulate autophagosome-lysosome fusion in neural cells
Sign Up to like & getrecommendations! Published in 2025 at "Autophagy"
DOI: 10.1080/15548627.2025.2479427
Abstract: ABSTRACT The macroautophagy/autophagy proteins ATG2A and ATG2B transfer lipids for phagophore membrane growth. They also form stable complexes with WDR45 and WDR45B. Our previous study demonstrated that WDR45 and WDR45B mediate autophagosome-lysosome fusion in neural… read more here.
Keywords: autophagosome lysosome; fusion neural; lysosome fusion; autophagy ... See more keywords
Seismic Inversion Based on Fusion Neural Network for the Joint Estimation of Acoustic Impedance and Porosity
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3426563
Abstract: Seismic inversion and petrophysical inversion are the most common methods used in exploration geophysics to obtain elastic and petrophysical parameters, which are essential for reservoir characterization. However, they are commonly ill-posed problems and both are… read more here.
Keywords: fusion neural; seismic inversion; network; inversion ... See more keywords
Fusion neural networks for plant classification: learning to combine RGB, hyperspectral, and lidar data
Sign Up to like & getrecommendations! Published in 2021 at "PeerJ"
DOI: 10.7717/peerj.11790
Abstract: Airborne remote sensing offers unprecedented opportunities to efficiently monitor vegetation, but methods to delineate and classify individual plant species using the collected data are still actively being developed and improved. The Integrating Data science with… read more here.
Keywords: hyperspectral lidar; classification; plant; remote sensing ... See more keywords