Fully Elman Neural Network: A Novel Deep Recurrent Neural Network Optimized by an Improved Harris Hawks Algorithm for Classification of Pulmonary Arterial Wedge Pressure

no code implementations • 16 Jan 2023 • Masoud Fetanat, Michael Stevens, Pankaj Jain, Christopher Hayward, Erik Meijering, Nigel H. Lovell

The proposed CNN-FENN-HHO+ method outperforms the proposed CNN-MLP, CNN-ENN and CNN-FENN methods and improved the classification performance metrics across 5-fold cross-validation.

A Sensorless Control System for an Implantable Heart Pump using a Real-time Deep Convolutional Neural Network

no code implementations • 30 Apr 2021 • Masoud Fetanat, Michael Stevens, Christopher Hayward, Nigel H. Lovell

To automatically adjust the LVAD speed, a physiological control system needs to be designed to respond to variations of patient hemodynamics across a variety of clinical scenarios.

Alfvénic versus non-Alfvénic turbulence in the inner heliosphere as observed by Parker Solar Probe

no code implementations • 4 Jan 2021 • Chen Shi, Marco Velli, Olga Panasenco, Anna Tenerani, Victor Réville, Stuart D. Bale, Justin Kasper, Kelly Korreck, J. W. Bonnell, Thierry Dudok de Wit, David M. Malaspina, Keith Goetz, Peter R. Harvey, Robert J. MacDowall, Marc Pulupa, Anthony W. Case, Davin Larson, J. L. Verniero, Roberto Livi, Michael Stevens, Phyllis Whittlesey, Milan Maksimovic, Michel Moncuquet

We make use of the Parker Solar Probe (PSP) data to explore the nature of solar wind turbulence focusing on the Alfv\'enic character and power spectra of the fluctuations and their dependence on distance and context (i. e. large scale solar wind properties), aiming to understand the role that different effects such as source properties, solar wind expansion, stream interaction might play in determining the turbulent state.

Solar and Stellar Astrophysics Space Physics