BMJ Open

Spatiotemporal patterns of asthma in Bhutan: a Bayesian analysis

Introduction Asthma is a chronic respiratory disorder requiring ongoing medical management. This ecological study ...

How hippocampal synapses adjust their proteins to specialize their function

A research team led by Dr. Àlex Bayés, Head of the Molecular Physiology of the Synapse Group at the Institut de Recerca Sant ...
IEEE

A Two-Step Cellular Network Traffic Forecasting Method Integrating Decomposition and Deep Neural Networks Based on Bayesian Joint Parameter Optimization

Abstract: Accurate cellular network traffic prediction is crucial for intelligent network planning and management in 6G. However, the non-stationary characteristics of cellular network traffic present ...
Devdiscourse

AI could rescue global critical minerals crunch

Despite rising investments, global discovery rates for new mineral deposits have continued to fall. Many near surface ...
College of Computing - Georgia Tech

Guess Who: New Framework Advances Probabilistic Capabilities in LLMs

That’s because a new framework is improving the probabilistic reasoning of LLMS like ChatGPT and Gemini. School of ...
GitHub

General and weighted naive Bayes classifiers

Naive Bayes is a widely used classification algorithm known for its simplicity and efficiency. This package takes naive Bayes to a higher level by providing more flexible and weighted variants, making ...
IEEE

Bayesian Neural Network-Based Equipment Operational Trend Prediction Method Using Channel Attention Mechanism

Abstract: This paper proposes a Bayesian neural network method for predicting equipment operational trends based on a channel attention mechanism. Traditional time series prediction methods have ...