A Bayesian decoder was employed to calculate the posterior probabilities of all position bins. This method assumes that transient counts follow a Poisson distribution and combines transient counts and ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and ...

This paper addresses the problem of matching the statistical properties of the distributions of two (or more) multi-spectral remote sensing images acquired on the same geographical area at different ...

Tinder hopes to reverse its ongoing decline in active users by turning to AI. In the coming quarter, the Match-owned dating app will roll out new AI-powered features for discovery and matching.

A Python module for fast computation of 2D and 3D radial distribution functions (RDFs). chemistry rdf physics particles solid-state-physics scattering radial-distribution-function ...

Explore common myths and truths about probability distribution functions in data science, enhancing your analytical accuracy.

A probability density function (PDF) describes the likelihood of different outcomes for a continuous random variable.

Then, we present a loss function for semantic position matching to optimize the network from both semantic information and pixel alignment perspectives, converting the probability distribution of ...

The pattern-matching syntax introduced in Python 3.10 allows for powerful new programming techniques for decision-making in apps.