Mapping the Sense of What’s Going On Inside

Scientists are learning how the brain knows what’s happening throughout the body, and how that process might go awry in some ...
Open Knowledge Repository - World Bank

Maldives: Decision Support for Coral Reef and Climate Resilience Using Bayesian Networks

The coral reef ecosystems of the Maldives are critical to the nation’s ecological integrity, economic development, and ...
eLife

Overcoming distortion in multidimensional predictive representation

This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...

Yixian Jiang Integrates Bayesian Networks and Metadata Standards to Advance Intelligent Digital Object Systems

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
IEEE

PBGMR: A Physics-Informed Bayesian Graph Neural Network for Robust Multimodal Underwater Target Recognition

Abstract: Existing approaches for underwater autonomous target recognition (UATR) often suffer from limited accuracy and robustness due to complex underwater environments, noise interference during ...
The Brighterside of News on MSN

The Seven Sisters (Pleiades) are part of a vast 2,000-light-year stellar network

On a brisk, dark evening, the Pleiades twinkle like a small handful of stars scattered across the sky. To the human eye, this bright cluster—often referred to as the Seven Sisters—appears small and ...
IEEE

Probabilistic Modeling of Train Operations for Uncertainty Quantification: A Context-Aware Bayesian Network Approach

Abstract: In this study, train operations were modeled by Bayesian networks (BN), to use the probability essence of the BN to quantify their uncertainty (e.g., the epistemic and aleatoric uncertainty ...