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Found 3 papers, 0 papers with code
Distributed Stochastic Optimization of a Neural Representation Network for Time-Space Tomography Reconstruction
To solve this problem, we propose to perform a 4D time-space reconstruction using a distributed implicit neural representation (DINR) network that is trained using a novel distributed stochastic training algorithm.
High-Throughput Virtual Screening of Small Molecule Inhibitors for SARS-CoV-2 Protein Targets with Deep Fusion Models
Structure-based Deep Fusion models were recently shown to outperform several physics- and machine learning-based protein-ligand binding affinity prediction methods.
Clutter distributions for tomographic image standardization in ground-penetrating radar
Multistatic ground-penetrating radar (GPR) signals can be imaged tomographically to produce three-dimensional distributions of image intensities.
GPR
Geophysics
