(In partnership with Paperspace) In recent years, the transformer model has become one of the main highlights of advances in deep learning ... a sequence-to-sequence (seq2seq) model for machine ...

The UML (Unified Modeling Language) sequence diagram, serving as a dynamic representation ... The You Only Look Once-version 5 (YOLOv5) algorithm, a deep learning model, is applied to detect each role ...

Persistence diagrams ... vector machine model to assess the type of featurization that is most useful in predictive models. The code developed for this analysis is available, with some functions ...

Further, the discussion included, at most, very little details about how the energy savings are calculated or the type of machine learning ... packages use supervised learning algorithms. The goal of ...

Various sequence-based features were used to formulate samples. By perform feature optimization and inputting them four kinds of machine learning methods, we constructed an integrated classifier model ...

Abstract: This paper studies machine learning-assisted ... We propose to learn the trellis diagram real-time using an artificial neural network (ANN) trained by a pilot sequence. This approach, termed ...