Search Results for author:
Found 3 papers, 1 papers with code
Transforming Traditional Neural Networks into Neuromorphic Quantum-Cognitive Models: A Tutorial with Applications
Quantum technologies are increasingly pervasive, underpinning the operation of numerous electronic, optical and medical devices.
Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations
Modern machine learning (ML) systems excel in recognising and classifying images with remarkable accuracy.
Alfvénic versus non-Alfvénic turbulence in the inner heliosphere as observed by Parker Solar Probe
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
