Results 171 to 180 of about 469,123 (318)
Utilization of 5G Technologies in IoT Applications: Current Limitations by Interference and Network Optimization Difficulties-A Review. [PDF]
Pons M +4 more
europepmc +1 more source
Objective Systemic lupus erythematosus (SLE) is a heterogenous inflammatory condition with widely varying global prevalence estimates. The frequency of SLE in the general population of Australia has been reported to be notably lower than contemporary estimates in countries such as the United States or United Kingdom, at 19 to 39 per 100,000 as opposed ...
Lucinda Roper +7 more
wiley +1 more source
mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization. [PDF]
Niu Y +4 more
europepmc +1 more source
Objective We aimed to construct and evaluate the first laboratory‐based frailty index (FI‐Lab) for predicting adverse outcomes in systemic lupus erythematosus (SLE) and to compare its predictive ability to that of an existing clinical FI. Methods We used data from a single‐center prospective cohort of adult patients with SLE whose baseline visit ...
Grace Burns +2 more
wiley +1 more source
Motivated by various applications to computer vision, we consider an integer convex optimization problem which is the dual of the convex cost network flow problem.
Kolmogorov, V., Shioura, A.
core
Over the past 50 years, the science of pediatric rheumatology has grown exponentially due to an expansion in the understanding of complex rheumatic conditions and a surge in novel targeted therapeutics. Physician‐scientists in the field of pediatric rheumatology have played major roles in these advancements that have improved the care of children ...
Ekemini A. Ogbu +2 more
wiley +1 more source
Machine learning for groundwater pollution source identification and monitoring network optimization. [PDF]
Kontos YN +5 more
europepmc +1 more source
Objective This study aimed to describe real‐world trends in preconception and prenatal use of antirheumatic drugs among pregnant individuals with rheumatic diseases in Ontario, Canada. Methods We conducted a time‐series analysis using repeated cross‐sectional data to examine annual patterns of disease‐modifying antirheumatic drug (DMARD) use among ...
Shenthuraan Tharmarajah +6 more
wiley +1 more source
OFDM Network Optimization Using a QPSK Based on a Wind-Driven Genetic Algorithm. [PDF]
Sun Y, Shambare C, Imoru O.
europepmc +1 more source
Optimization is a fundamental task in machine learning, critical for training large and deep networks that have become prevalent in recent years. These networks demand significant computational resources, motivating research into improving the efficiency and effectiveness of the optimization process. We focus on two optimization aspects in this thesis:
openaire +2 more sources

