The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
IEEE

Multivariate Time Series Classification via Heterogeneous Graph Representation

Multivariate time series (MTS) classification is essential in industries, such as healthcare and manufacturing, where it helps extract key features from complex data for decision-making and ...
IEEE

Tribe Graph Enhanced Bidirectional Mamba for Multivariate Time Series Forecasting

Abstract: In multivariate time series forecasting, transformer-based methods have gained attention for their ability to capture complex dependencies and are often integrated with graph neural networks ...
Frontiers

Copper oxide–reinforced ethyl vinyl acetate/ chlorinated polyethylene blend nanocomposites: eco-friendly design of high-performance electroactive materials

1 Centre for Polymer Science and Technology, Department of Chemistry, University of Calicut, Tenhipalam, Kerala, India 2 Department of Chemistry, M.P.M.M.S.N. Trusts College, Palakkad, Kerala, India ...