Tag: probabilistic modeling

A new study of Swiss catchments shows that deterministic LSTMs underestimate 97 percent of the most extreme floods, while probabilistic ...

Researchers have developed an improved fuzzy Bayesian network that quantifies the likelihood of major urban public health emergencies, using the ...

A new Monte Carlo and response surface framework reveals that traditional V-belt design rules overestimate installation slack by about 30 ...

A new computational framework called CellART unifies cell segmentation and cell-type annotation across high-resolution spatial transcriptomics platforms, revealing single-cell detail ...

A combined scanning, simulation, and testing study shows that randomly distributed corrosion pits, not just their maximum depth, govern the ...

Researchers have developed a polynomial chaos expansion framework that turns two-dimensional chloride corrosion modeling of repaired marine concrete structures into ...

Researchers combined the XBeach numerical model with Bayesian Networks trained on thousands of simulated storms to enable rapid, uncertainty-aware coastal ...

Researchers in Leipzig corrected a hidden error in a Bayesian network and found the transparent AI model matched real tumor ...

In recent years, the complexities surrounding the study of evolution have posed significant challenges for researchers seeking to elucidate how ...