Results 111 to 120 of about 128,384 (219)

On the impact of observation‐error correlations in data assimilation, with application to along‐track altimeter data

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We study the impact of observation‐error correlations in data assimilation using both a simple idealised system and a more realistic configuration. A spectral analysis of data assimilation in the idealised system allows us to gain insights on the effect of observation‐error correlations, which are then validated using the realistic configuration.
Olivier Goux, Anthony T. Weaver, Selime Gürol, Oliver Guillet, Andrea Piacentini   +4 more
wiley   +1 more source

Statistical Complexity of Quantum Learning

Advanced Quantum Technologies, EarlyView.
The statistical performance of quantum learning is investigated as a function of the number of training data N$N$, and of the number of copies available for each quantum state in the training and testing data sets, respectively S$S$ and V$V$. Indeed, the biggest difference in quantum learning comes from the destructive nature of quantum measurements ...
Leonardo Banchi, Jason Luke Pereira, Sharu Theresa Jose, Osvaldo Simeone   +3 more
wiley   +1 more source

Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search

Advanced Quantum Technologies, EarlyView.
This article proposes the Progressive Widening enhanced Monte Carlo Tree Search (PWMCTS) to design parameterized quantum circuits. It improves the efficiency of the previous MCTS‐based techniques in terms of number of quantum circuit evaluation, number of gates and CNOT count.
Vincenzo Lipardi, Domenica Dibenedetto, Georgios Stamoulis, Mark H.M. Winands   +3 more
wiley   +1 more source

Direct Data‐Driven State‐Feedback Control of Linear Parameter‐Varying Systems

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT The framework of linear parameter‐varying (LPV) systems has shown to be a powerful tool for the design of controllers for complex nonlinear systems using linear tools. In this work, we derive novel methods that allow us to synthesize LPV state‐feedback controllers directly from only a single sequence of data and guarantee stability and ...
Chris Verhoek, Roland Tóth, Hossam S. Abbas   +2 more
wiley   +1 more source

Uniform Asymptotics for Polynomials Orthogonal With Respect to a General Class of Discrete Weights and Universality Results for Associated Ensembles: Announcement of Results

, 2002
We compute the pointwise asymptotics of orthogonal polynomials with respect to a general class of pure point measures supported on finite sets as both the number of nodes of the measure and also the degree of the orthogonal polynomials become large.
Baik, Jinho, Kriecherbauer, Thomas, McLaughlin, Ken T. -R., Miller, Peter D.   +3 more
core   +1 more source

Robustness assessment of reinforced concrete structures for different failure scenarios

Structural Concrete, EarlyView.
Abstract This study describes the robustness assessment of 3D reinforced concrete structures analyzing the response of the 2D frames in different design configurations and failure scenarios. The structures are characterized by both frames with wide beams and seismic‐resistant frames with deep beams.
E. Miceli, Massimiliano De Iuliis, P. Castaldo   +2 more
wiley   +1 more source

DCKTKT: A New Discrete Cosine-Krawtchouk-Tchebichef Transform

Journal of Engineering
Real-world signals are often intricate and difficult to analyze. Therefore, to facilitate the analysis of signal components, the researchers represent the signal in different domains (transform domain), providing a new perspective and offering ...
Mariam Taha Yaseen, Sadiq H. Abdulhussain   +1 more
doaj   +1 more source

Applications of Artificial Intelligence in Neurological Voice Disorders

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Neurological voice disorders, such as Parkinson's disease, laryngeal dystonia, and stroke‐induced dysarthria, significantly impact speech production and communication. Traditional diagnostic methods rely on subjective assessment, whereas artificial intelligence (AI) offers objective, noninvasive, and scalable solutions for voice analysis. This
Dongren Yao, Aki Koivu, Kristina Simonyan   +2 more
wiley   +1 more source

The Hahn Quantum System

, 2017
Using a formulation of quantum mechanics based on the theory of orthogonal polynomials, we introduce a four-parameter system associated with the Hahn and continuous Hahn polynomials.
Alhaidari, A D, Li, Y. -T.
core  

Investigating the Effect of Attribute Non‐Attendance in Different Elicitation Formats: Single Discrete Choice, Rank‐Order Discrete Choice, and Best Worst Scaling

Agricultural Economics, EarlyView.
ABSTRACT This paper investigates methodological issues related to attribute non‐attendance (ANA) in choice experiments (CEs). First evaluates the variation in the prevalence of ANA across various non‐hypothetical choice experiments (NHCEs) elicitation formats compared to hypothetical choice experiments (HCEs).
Ahmed Yangui, Faical Akaichi, José Maria Gil   +2 more
wiley   +1 more source