Results 121 to 130 of about 6,463 (167)

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

Simulating Quantum State Transfer Between Distributed Devices Using Noisy Interconnects

open access: yesAdvanced Quantum Technologies, EarlyView.
Noisy connections challenge future networked quantum computers. This work presents a practical method to address this by simulating an ideal state transfer over noisy interconnects. The approach reduces the high sampling cost of previous methods, an advantage that improves as interconnect quality gets better.
Marvin Bechtold   +3 more
wiley   +1 more source

Blinking Optical Tweezers for Atom Rearrangements

open access: yesAdvanced Quantum Technologies, EarlyView.
The work introduces an energy‐efficient method for holding and rearranging an N ×$\times$ M array of atoms using only N optical tweezers, using just 1M of the optical power per atom. In the proof‐of‐concept experiments, single blinking tweezer holds M = 9 atoms and further facilitates rearrangement M = 4 ∼$\sim$ 5 atoms in various configurations ...
Kangjin Kim, Kangheun Kim, Jaewook Ahn
wiley   +1 more source

Measures and Metrics of Biological Signals. [PDF]

open access: yesFront Physiol, 2018
Kasum O, Perović A, Jovanović A.
europepmc   +1 more source

Adaptive Sliding‐Mode Control of a Perturbed Diffusion Process With Pointwise In‐Domain Actuation

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT A sliding mode–based adaptive control law is proposed for a class of diffusion processes featuring a spatially‐varying uncertain diffusivity and equipped with several point‐wise actuators located at the two boundaries of the spatial domain as well as in its interior.
Paul Mayr   +3 more
wiley   +1 more source

The role of identification in data‐driven policy iteration: A system theoretic study

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley   +1 more source

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