Results 261 to 270 of about 10,212,280 (356)
Federated Learning over MU-MIMO Vehicular Networks. [PDF]
Raftopoulou M +4 more
europepmc +1 more source
Objective We developed a novel EHR sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk +16 more
wiley +1 more source
Smartphone-based retrospective analysis for malaria hotspot detection. [PDF]
da Silva BM +9 more
europepmc +1 more source
Da-Detr: Dynamic Adjustment Potato Bud Detection Algorithm Based on Improved Rt-Detr
Xiang Kong +5 more
openalex +1 more source
Associations of Sleep and Shift Work with Osteoarthritis Risk
Objective Daily rhythms may be critical for maintaining homeostasis of joint tissues. We aimed to investigate the relationships between circadian clock disruption, sleep, and osteoarthritis (OA) risk in humans. Methods In the UK Biobank, a prospective 500,000‐person cohort, we evaluated associations between sleep duration, sleeplessness/insomnia, and ...
Elizabeth L. Yanik +5 more
wiley +1 more source
Rapid Identification of Dendrobium Species Using Near-Infrared Hyperspectral Imaging Technology. [PDF]
Li K +7 more
europepmc +1 more source
Addressing Economic Insecurities Can Improve Patient‐Reported Outcomes in Lupus
Background Economic insecurities, such as food, housing, transportation, and financial challenges, are modifiable risk factors and influence patient‐reported outcomes (PROs) in systemic lupus erythematosus (SLE). We examined: 1) associations between economic insecurities and PROs; 2) the impact of screening and addressing economic insecurities during ...
Jay Patel +8 more
wiley +1 more source
Stability-Oriented Deep Learning for Hyperspectral Soil Organic Matter Estimation. [PDF]
Deng Y, Shi Y.
europepmc +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
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
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source

