Results 111 to 120 of about 8,251,079 (331)

Cracking the Code: Which Ocular Symptoms Predict Dry Eye Signs? Insights From a Large International Sicca Registry

open access: yesArthritis Care &Research, EarlyView.
Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a retrospective analysis examining 16 ocular symptoms (most graded 0–4) and artificial tear (AT) use (graded 0–3) as predictors of DED signs (abnormal ocular ...
Pragnya R. Donthineni   +7 more
wiley   +1 more source

Efficient resource provisioning for elastic Cloud services based on machine learning techniques

open access: yesJournal of Cloud Computing: Advances, Systems and Applications, 2019
Automated resource provisioning techniques enable the implementation of elastic services, by adapting the available resources to the service demand. This is essential for reducing power consumption and guaranteeing QoS and SLA fulfillment, especially for
Rafael Moreno-Vozmediano   +3 more
doaj   +1 more source

Evaluating Energy Absorption Performance of Filled Lattice Structures

open access: yesAdvanced Engineering Materials, EarlyView.
Maximum stress must be considered to robustly evaluate energy absorber designs. This approach was applied to compare all types of absorbers in a single Ashby diagram and determine the utility of filling lattice voids with a second material. High‐performance fillers can improve the performance of lattices that are limited by buckling or catastrophic ...
Christian Bonney   +2 more
wiley   +1 more source

Evaluation of the performance of LLMs deployments in selected cloud-based container services

open access: yesInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
The growing adoption of serverless container services has created challenges in selecting optimal cloud platforms for production LLM deployments, yet comparative performance evaluations remain limited.
Mateusz Stęgierski   +2 more
doaj   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Auto-scaling Continuous Memory for GUI Agent

open access: yesCoRR
We study how to endow GUI agents with scalable memory that help generalize across unfamiliar interfaces and long-horizon tasks. Prior GUI agents compress past trajectories into text tokens, which balloons context length and misses decisive visual cues (e.g., exact widget size and position).
Wenyi Wu   +6 more
openaire   +2 more sources

Entropy-Based Economic Denial of Sustainability Detection

open access: yesEntropy, 2017
In recent years, an important increase in the amount and impact of Distributed Denial of Service (DDoS) threats has been reported by the different information security organizations.
Marco Antonio Sotelo Monge   +2 more
doaj   +1 more source

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

open access: yesAdvanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut   +16 more
wiley   +1 more source

Extending OpenStack Monasca for Predictive Elasticity Control

open access: yesBig Data Mining and Analytics
Traditional auto-scaling approaches are conceived as reactive automations, typically triggered when predefined thresholds are breached by resource consumption metrics.
Giacomo Lanciano   +4 more
doaj   +1 more source

An Auto-Scaling Framework for Analyzing Big Data in the Cloud Environment

open access: yesApplied Sciences, 2019
Processing big data on traditional computing infrastructure is a challenge as the volume of data is large and thus high computational complexity.
Rachana Jannapureddy   +3 more
doaj   +1 more source

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