Results 131 to 140 of about 3,038,203 (289)
Arthritis Care &Research, EarlyView.Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo +2 more
wiley +1 more source
, 2014 General linear modelling of better ear speech reception threshold (dB) based on gender, age, socio-economic, and cognition. Gender, Age and Cognition reference levels were females, the youngest quintile, and the poorest performers, respectively.
Robert H. Pierzycki (630750) +6 more
core +1 more source
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
Awaking the awareness of the movida noise on residents: measurements, experiments and modelling
, 2019 Noise is one of the most important pollutant of the modern cities. It affects human health, social relationships and the cognitive sphere. Following the Directive 2002/49/EC, in EU urban agglomerations, noise is assessed by the noise modelling of the ...
MASULLO M. +4 more
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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
Noise MappingEnvironmental noise assessments in Europe are mostly based on the infrastructure categories prescribed by the Environmental Noise Directive (END), which may not represent the full exposure conditions experienced by populations and ecosystems.
Soto-Molina Ignacio +1 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source
1/f Noise Modelling and Characterization for CMOS Quanta Image Sensors. [PDF]
Sensors (Basel), 2019 Deng W, Fossum ER.
europepmc +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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