Results 11 to 20 of about 1,171,281 (357)
De Computis, 2023 In recent years, deep learning (DL) has been the most popular computational approach in the field of machine learning (ML), achieving exceptional results on a variety of complex cognitive tasks, matching or even surpassing human performance.
Mohammad Mustafa Taye
semanticscholar +1 more source
Guide to Metabolomics Analysis: A Bioinformatics Workflow
Metabolites, 2022 Metabolomics is an emerging field that quantifies numerous metabolites systematically. The key purpose of metabolomics is to identify the metabolites corresponding to each biological phenotype, and then provide an analysis of the mechanisms involved ...
Y. Chen, E. Li, Li-Yan Xu
semanticscholar +1 more source
Does the number of pages received per hour affect resident productivity?
Journal of the American College of Emergency Physicians Open, 2023 Background Workflow interruptions are common for emergency physicians and are shown to have downstream consequences such as patient dissatisfaction, delay in clinical response, and increase in medical error.
Alyssa Mangino +5 more
doaj +1 more source
Frontiers in Neurology, 2021 Background: Patients with large vessel occlusion (LVO) stroke are often initially admitted to a primary stroke center (PSC) and subsequently transferred to a comprehensive stroke center (CSC) for endovascular thrombectomy (EVT).
Laura C. C. van Meenen +9 more
doaj +1 more source
Constraint Expressions and Workflow Satisfiability [PDF]
, 2013 A workflow specification defines a set of steps and the order in which those steps must be executed. Security requirements and business rules may impose constraints on which users are permitted to perform those steps.
Crampton, Jason, Gutin, Gregory
core +1 more source
Visualization in Bayesian workflow [PDF]
Journal of the Royal Statistical Society: Series A (Statistics in Society), 2017 Bayesian data analysis is about more than just computing a posterior distribution, and Bayesian visualization is about more than trace plots of Markov chains.
Jonah Gabry +4 more
semanticscholar +1 more source
MetaboAnalystR 3.0: Toward an Optimized Workflow for Global Metabolomics
Metabolites, 2020 Liquid chromatography coupled to high-resolution mass spectrometry platforms are increasingly employed to comprehensively measure metabolome changes in systems biology and complex diseases.
Zhiqian Pang +3 more
semanticscholar +1 more source
Modified firefly algorithm for workflow scheduling in cloud-edge environment
Neural computing & applications (Print), 2022 Edge computing is a novel technology, which is closely related to the concept of Internet of Things. This technology brings computing resources closer to the location where they are consumed by end-users—to the edge of the cloud.
Nebojša Bačanin +4 more
semanticscholar +1 more source
E-BioFlow: Different Perspectives on Scientific Workflows [PDF]
, 2008 We introduce a new type of workflow design system called\ud e-BioFlow and illustrate it by means of a simple sequence alignment workflow. E-BioFlow, intended to model advanced scientific workflows, enables the user to model a workflow from three ...
Breit, T. +4 more
core +2 more sources
Cytoscape Automation: empowering workflow-based network analysis
Genome Biology, 2019 Cytoscape is one of the most successful network biology analysis and visualization tools, but because of its interactive nature, its role in creating reproducible, scalable, and novel workflows has been limited.
D. Otasek +4 more
semanticscholar +1 more source