However, AI can seem like a mysterious, high-tech black box for many non-technical founders, executives and managers. It's ...

Typically, such predictive AI projects demand heavy involvement by experienced machine learning experts and a lengthy project lifecycle to define the requirements, prepare the data, train a model ...

We aimed to use interpretable machine learning (ML) methods to develop ... In this study, six features with non-zero regression coefficients were selected to construct predictive models through LASSO ...

63 Distributed machine learning based ... Communications Under Non Stationary Mobility M. Haghshenas, etal. 129 A New Channel Subspace Characterization for Channel Estimation in RIS Aided ...

The world of machine learning is evolving rapidly, and choosing the right framework for training models can significantly ...

A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with ...

As climate change leads to more frequent and intense extreme precipitation events, accurately predicting rainfall during the ...