Bayesian inference has been used for genetic risk calculation. In this traditional method, inheritance events are divided into a number of cases under the inheritance model, and some elements of the ...

A research team has developed a new technique to rapidly and accurately determine the charge state of electrons confined in semiconductor quantum dots -- fundamental components of quantum computing ...

In this paper, we explored the combination of seismic station data and ground motion prediction equations (GMPE) to predict seismic intensity results by using Bayesian Maximum Entropy (BME) method.

Portfolio Optimization with Bayesian Methods offers a comprehensive framework for optimizing asset allocation by employing advanced probabilistic techniques. In this project, I compare a classical ...

Landslide susceptibility assessment is crucial to mitigate the severe impacts of landslides. Although Bayesian network (BN) has been widely used in landslide susceptibility assessment, no study has ...

Abstract: Pipeline damage could lead to accidents such as the ground subsidence and rainwater backflow. It is critical to monitor and locate the damage in real-time for the safety of urban ...

Abstract: We propose a probabilistic method to estimate the optimal phase shifts of a RIS in the absence of channel estimation. We formulate the problem with a bayesian approach and propose several ...

Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled ...