Results 131 to 140 of about 59,164,884 (301)
Arthritis Care &Research, EarlyView.Objective Estimating the incidence and prevalence of symptomatic hand osteoarthritis (OA) in the Dutch population using a validated algorithm that integrates free‐text data from primary care electronic health records (EHRs). Methods This retrospective cohort study used the Integrated Primary Care Information database, including EHRs from approximately ...
Onur Kaya +7 more
wiley +1 more source
Noise Stability is Computable and Approximately Low-Dimensional.
Theory Comput., 2017 Questions of noise stability play an important role in hardness of approximation in computer science as well as in the theory of voting. In many applications, the goal is to find an optimizer of noise stability among all possible partitions of R^n for n >= 1 to k parts with given Gaussian measures mu_1, ..., mu_k.
De, Anindya +2 more
openaire +5 more sources
Life-cycle costs and infrastructural investments induced by unconventional low-noise aircraft
, 2015 The environment challenge and the expected growth of the market demand impose a technology breakthrough within the aeronautical industry. Although several innovative configurations of airplanes have been analyzed, none of them has been yet chosen as the ...
CENTRACCHIO, FRANCESCO +2 more
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A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Abatement of traffic, vehicle, and tire/road noise - the global perspective
, 2001 Road traffic noise may be reduced by measures directed either at the emission or at the immission. Emission control aims at controlling noise at the source and is usually achieved by limiting the vehicle speed, controlling emitted noise levels of the ...
Sandberg, Ulf, Sandberg, Ulf,
core +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
Synthesis of aircraft noise operations
, 2013 This paper provides an overview of the aircraft noise synthesis techniques that were developed within the European FP7 project COSMA (Community Orientated Solutions to Minimize Aircraft Noise Annoyance).
Bisping, Rudolf +7 more
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Stochastic evolution equations in weighted L² spaces with jump noise [PDF]
, 2012 Michel S. Stochastic evolution equations in weighted L² spaces with jump noise. Bielefeld: Universität Bielefeld; 2012.In this thesis, we study two classes of stochastic differential equations (SDEs in short) with jump noise in weighted L² spaces over ...
Michel, Simon
core
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source