Results 161 to 170 of about 2,769,215 (334)
Arthritis Care &Research, Accepted Article.Objective This systematic review aimed to assess the diagnostic accuracy of algorithms used to identify rheumatoid arthritis (RA) and juvenile idiopathic arthritis (JIA) in electronic health records (EHRs). Methods We searched MEDLINE, Embase, and CENTRAL databases and included studies that validated case definitions against a reference standard such ...
Constanza Saka‐Herrán +10 more
wiley +1 more source
A comparison principle for parabolic complex Monge-Ampère equations
, 2021 Hoang-Son Do, Thanh Cong Ngoc Pham
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Arthritis Care &Research, Accepted Article.Objectives Axial spondyloarthritis (axSpA) is often associated with persistent pain despite effective anti‐inflammatory treatment. Digital health applications (DHA) provide innovative approaches to address multidimensional aspects of persistent pain through psychological and behavioral strategies. The aim of this study was to assess the impact of a DHA
David Kiefer +7 more
wiley +1 more source
Projective synchronization of fractional-order delayed neural networks based on the comparison principle [PDF]
, 2018 Wei Wei Zhang +4 more
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A terminal comparison principle for differential inequalities [PDF]
Bulletin of the American Mathematical Society, 1972 openaire +4 more sources
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
A distance comparison principle for curve shortening flow with free boundary
, 2023 Mat Langford, Jonathan J. Zhu
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International Journal of Adaptive Control and Signal Processing, EarlyView.Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva +4 more
wiley +1 more source