Energy-aware load balancing in cloud environments using graph neural networks and grey wolf optimization. [PDF]
Niyasudeen F, Mohan M.
europepmc +1 more source
Energy Aware Load Balancing Framework for Smart Grid Using Cloud and Fog Computing. [PDF]
Singhal S +6 more
europepmc +1 more source
A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi +17 more
wiley +1 more source
Federated multi-cloud task scheduling with load balancing using multi-objective NSGA-II and reinforcement learning. [PDF]
Ghaban W, Alatawi HS.
europepmc +1 more source
An improved energy-efficient cloud-optimized load-balancing for IoT frameworks.
Moparthi NR +4 more
europepmc +1 more source
Dynamic Averaging Load Balancing on Cycles. [PDF]
Alistarh D, Nadiradze G, Sabour A.
europepmc +1 more source
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers +19 more
wiley +1 more source
Load balancing for cloud computing using optimized cluster based federated learning. [PDF]
Chennam KK +6 more
europepmc +1 more source
Load Balancing Based on Firefly and Ant Colony Optimization Algorithms for Parallel Computing. [PDF]
Li Y, Li J, Sun Y, Li H.
europepmc +1 more source
T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ±
Sarah J. Wright +10 more
wiley +1 more source

