In this article, we analyze algorithmic ways to reduce the arithmetic complexity of calculating quaternion-valued linear convolution and also synthesize a new algorithm for calculating this ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Most dynamical models introduced in the past were linear ... with a multisection neural network architecture and training approach." The researchers trained their RNN-based model using a four-step ...

Deep learning approaches have improved anomaly detection but lack interpretability. We propose an explainable anomaly detection (XAD) framework using a sparse non-linear vector autoregressive network ...

This Research Topic is a part of the 'Advancing Neural Network-Based Intelligent Algorithms in Robotics: Challenges, Solutions, and Future Perspectives' series. Building upon the success of the first ...