Tag: inverse problems

A new method called physics-embedded inverse learning trains neural networks to estimate unobservable physical parameters by supervising them with final ...

Researchers have combined a phase-dependent signal preprocessing step with a dual U-Net deep learning framework to reconstruct planar antenna array ...

A Transformer-based network that treats each ultrasound sensor's time series as a token reconstructs photoacoustic images in a single forward ...

A new conditioning-controlled retrieval framework jointly derives broadband land surface temperature and emissivity from paired ground-based longwave irradiance measurements, achieving ...

Researchers have developed a fast, low-cost method that converts X-ray diffraction fingerprints of river sediment into spatially resolved erosion rate ...

A new mathematical framework establishes when complex oscillators can be uniquely tuned to multiple simultaneous targets, validated on electronic genetic ...

Researchers in Lübeck have trained a neural network to reconstruct CT images using only raw X-ray measurements and scanner physics, ...

Vietnamese researchers have trained a 3D U-Net to reconstruct facial soft tissue directly from skull geometry, achieving millimeter-level accuracy while ...

Researchers used blackbody radiation inversion on COBE/FIRAS data to measure the mean CMB temperature at 2.729 plus or minus 0.0195 ...