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

Bayesian Network Generator is a Python library for building, analyzing, and visualizing Bayesian Networks. It leverages libraries like pgmpy, numpy, and matplotlib to help create and estimate Bayesian ...

Bayesian Networks, also known as Belief Networks or Bayes Nets, are a powerful probabilistic graphical model used for reasoning under uncertainty. They have been successfully applied to a wide range ...

1 Minutia.AI Pte. Ltd., Singapore, Singapore 2 Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milano, Italy A representation of the cause-effect mechanism is ...

The rapid expansion of higher education has introduced new safety challenges in university laboratories, where fire incidents now represent a critical threat to campus safety. In this paper, we ...

Scientists have turned to advanced AI to decode the intricate ecosystem of gut bacteria and their chemical signals. Using a Bayesian neural network called VBayesMM, researchers can now identify ...

Abstract: With the objective of enhancing the information security of traditional communication networks, an information security system based on an improved Bayesian network model was designed within ...

A new study using Bayesian network analysis from the NESDA cohort suggests that depressive symptoms, especially those related ...