if you use fuzzy-c-means package in your paper, please cite it in your publication. @software{dias2019fuzzy, author = {Madson Luiz Dantas Dias}, title = {fuzzy-c ...

Abstract: Fuzzy C-Means algorithm (FCM) is one of the most commonly used fuzzy clustering algorithm, which uses the alternating optimization algorithm to update the membership matrix and the cluster ...

Abstract: The federated fuzzy C-means (federated FCM) extends the traditional Fuzzy C-means (FCM) to the federated learning (FL) scenario, aiming to address the data privacy preservation issue of soft ...

Fracture healing is a complex process which sometimes results in non-unions, leading to prolonged disability and high morbidity. Traditional methods of optimising fracture treatments, such as in vitro ...

Oh no! You’re stuck disassembling yet another firmware blob stripped of symbols and lacking any handy reference strings. You soon find yourself squirrelling down countless function call trees. The ...

spaczz provides fuzzy matching and additional regex matching functionality for spaCy. spaczz's components have similar APIs to their spaCy counterparts and spaczz pipeline components can integrate ...

The present work aims to explore the performance of fuzzy system-based medical image processing for predicting the brain disease. The imaging mechanism of NMR (Nuclear Magnetic Resonance) and the ...

The death of a woman hit by a self-driving car highlights an unfolding technological crisis, as code piled on code creates ‘a universe no one fully understands’ The 18th of March 2018, was the day ...