Abstract: Federated learning is an emerging machine learning paradigm that effectively alleviates the data silo problem by distributing the model training process to multiple data holders. However, ...

Abstract: Fluid antenna systems offer significant potential to enhance spatial diversity, which can substantially improve the quality of received signals. However, achieving such signal quality ...

However, the absence of validated predictive models remains a significant challenge. Objective: This study compared a conventional logistic regression model with machine learning (ML) models using ...

With the rapid expansion of the new energy vehicle (NEV) market, charging and battery swapping have emerged as the two ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...