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  1. 1741
    “…Cloud Computing model provides on demand delivery of seamless services to customers around the world yet single point of failures occurs in cloud model due to improper assignment of tasks to precise virtual machines which leads to increase in rate of failures which effects SLA based trust parameters (Availability, success rate, turnaround efficiency) upon which impacts trust on cloud provider. …”
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    Online Artículo Texto
    Fault tolerant trust based task scheduler using Harris Hawks optimization and deep reinforcement learning in multi cloud environment
  2. 1742
    “…BACKGROUND: Explosive growth of next-generation sequencing data has resulted in ultra-large-scale data sets and ensuing computational problems. Cloud computing provides an on-demand and scalable environment for large-scale data analysis. …”
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    Online Artículo Texto
    CloudDOE: A User-Friendly Tool for Deploying Hadoop Clouds and Analyzing High-Throughput Sequencing Data with MapReduce
  3. 1743
    “…Moreover we propose PVT-Cloud which implements PVT pipeline in cloud computing system.…”
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    PVT: An Efficient Computational Procedure to Speed up Next-generation Sequence Analysis
  4. 1744
    “…BACKGROUND: G-DOC Plus is a data integration and bioinformatics platform that uses cloud computing and other advanced computational tools to handle a variety of biomedical BIG DATA including gene expression arrays, NGS and medical images so that they can be analyzed in the full context of other omics and clinical information. …”
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    G-DOC Plus – an integrative bioinformatics platform for precision medicine
  5. 1745
    “…CONCLUSIONS: We discuss the role of stochastic search and cloud computing for detecting complex genetic effects in genome-wide data.…”
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    Grid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseases
  6. 1746
    “…Objective: To describe a novel method and system of pain assessment using a combination of technologies: automated facial recognition and analysis (AFRA), smart computing, affective computing, and cloud computing (Internet of Things) for people with advanced dementia. …”
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    A Technical Note on the PainChek™ System: A Web Portal and Mobile Medical Device for Assessing Pain in People With Dementia
  7. 1747
    “…Secondly, NGS analysis is computationally intensive, requiring expensive infrastructure, and many medical and research centres do not have adequate high performance computing facilities and cloud computing is not always an option due to privacy and ownership issues. …”
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    DNAscan: personal computer compatible NGS analysis, annotation and visualisation
  8. 1748
    “…Nevertheless, recent paradigms such as fog computing, which extends cloud computing to the edge of a network, make possible low-latency and location-aware IoT applications. …”
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    Design and Experimental Validation of a LoRaWAN Fog Computing Based Architecture for IoT Enabled Smart Campus Applications †
  9. 1749
    “…BACKGROUND: Cloud computing for microbiome data sets can significantly increase working efficiencies and expedite the translation of research findings into clinical practice. …”
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    Online Artículo Texto
    Developing a Reproducible Microbiome Data Analysis Pipeline Using the Amazon Web Services Cloud for a Cancer Research Group: Proof-of-Concept Study
  10. 1750
    “…Importantly, data models of moving objects are one of the most crucial approaches to support the analysis for dynamic relative motion between moving objects, even in the age of big data and cloud computing. Traditional geographic information systems (GIS) usually organize moving objects as point objects in absolute coordinated space. …”
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    Relative space-based GIS data model to analyze the group dynamics of moving objects
  11. 1751
    “…Obtaining these infrastructures requires not only an infrastructure provider, but also advanced knowledge in the cloud computing field. Objectives  The main aim of this paper is to improve reproducibility in life sciences to produce better and more cost-effective research. …”
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    APRICOT: Advanced Platform for Reproducible Infrastructures in the Cloud via Open Tools
  12. 1752
    “…This small size (24 MB) of this model made it possible to run on a medium class computer without the need of cloud computing, suitable for deployment on devices with limited resources. …”
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    Deep Learning Classifier with Patient’s Metadata of Dermoscopic Images in Malignant Melanoma Detection
  13. 1753
    “…To conduct our experimental study on a real cloud computing environment, we utilize Amazon EMR instances (up to 6 instances) for distributed spatial data processing. …”
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    A comparative experimental study of distributed storage engines for big spatial data processing using GeoSpark
  14. 1754
    por Kumar, Ashwani
    Publicado 2022
    “…Nowadays, cloud computing provides a platform infrastructure for the secure dealing of digital data, but privacy and copy control are the two important issues in it over a network. …”
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    A cloud-based buyer-seller watermarking protocol (CB-BSWP) using semi-trusted third party for copy deterrence and privacy preserving
  15. 1755
    “…It is important to understand the relationship between instructor role and student approaches to using online learning technologies in online learning settings supported by cloud computing techniques. METHODS: A descriptive, cross-sectional study was conducted to analyze the relationships between medical students’ perceptions of instructor role (instructor support, instructor-student interaction, and instructor innovation) and students’ approaches to using online learning technologies in cloud-based virtual classrooms. …”
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    Relationship between medical students’ perceived instructor role and their approaches to using online learning technologies in a cloud-based virtual classroom
  16. 1756
    “…IMPORTANCE In this study, a cholesterol-dependent C. glabrata clinical isolate that confers azole and AmB resistance was investigated using artificial intelligence (AI) technologies and cloud computing applications. This is the first of the known cholesterol-dependent C. glabrata isolate to be found in Turkey. …”
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    Investigation of the Defective Growth Pattern and Multidrug Resistance in a Clinical Isolate of Candida glabrata Using Whole-Genome Sequencing and Computational Biology Applications
  17. 1757
    “…The results of this systematic mapping conclude that despite of hard efforts made in the domains of healthcare big data analytics, the newer hybrid machine learning based systems and cloud computing-based models should be adapted to reduce treatment cost, simulation time and achieve improved quality of care. …”
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    Systematic analysis of healthcare big data analytics for efficient care and disease diagnosing
  18. 1758
    por Hitz, Benjamin C., Jin-Wook, Lee, Jolanki, Otto, Kagda, Meenakshi S., Graham, Keenan, Sud, Paul, Gabdank, Idan, Strattan, J. Seth, Sloan, Cricket A., Dreszer, Timothy, Rowe, Laurence D., Podduturi, Nikhil R., Malladi, Venkat S., Chan, Esther T., Davidson, Jean M., Ho, Marcus, Miyasato, Stuart, Simison, Matt, Tanaka, Forrest, Luo, Yunhai, Whaling, Ian, Hong, Eurie L., Lee, Brian T., Sandstrom, Richard, Rynes, Eric, Nelson, Jemma, Nishida, Andrew, Ingersoll, Alyssa, Buckley, Michael, Frerker, Mark, Kim, Daniel S, Boley, Nathan, Trout, Diane, Dobin, Alex, Rahmanian, Sorena, Wyman, Dana, Balderrama-Gutierrez, Gabriela, Reese, Fairlie, Durand, Neva C., Dudchenko, Olga, Weisz, David, Rao, Suhas S. P., Blackburn, Alyssa, Gkountaroulis, Dimos, Sadr, Mahdi, Olshansky, Moshe, Eliaz, Yossi, Nguyen, Dat, Bochkov, Ivan, Shamim, Muhammad Saad, Mahajan, Ragini, Aiden, Erez, Gingeras, Tom, Heath, Simon, Hirst, Martin, Kent, W. James, Kundaje, Anshul, Mortazavi, Ali, Wold, Barbara, Cherry, J. Michael
    Publicado 2023
    “…ENCODE pipelines maintained and used by the DCC can be installed to run on personal computers, local HPC clusters, or in cloud computing environments via Cromwell. Access to the pipelines and data via the cloud allows small labs the ability to use the data or software without access to institutional compute clusters. …”
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    The ENCODE Uniform Analysis Pipelines
  19. 1759
    por Hitz, Benjamin C., Lee, Jin-Wook, Jolanki, Otto, Kagda, Meenakshi S., Graham, Keenan, Sud, Paul, Gabdank, Idan, Strattan, J. Seth, Sloan, Cricket A., Dreszer, Timothy, Rowe, Laurence D., Podduturi, Nikhil R., Malladi, Venkat S., Chan, Esther T., Davidson, Jean M., Ho, Marcus, Miyasato, Stuart, Simison, Matt, Tanaka, Forrest, Luo, Yunhai, Whaling, Ian, Hong, Eurie L., Lee, Brian T., Sandstrom, Richard, Rynes, Eric, Nelson, Jemma, Nishida, Andrew, Ingersoll, Alyssa, Buckley, Michael, Frerker, Mark, Kim, Daniel S, Boley, Nathan, Trout, Diane, Dobin, Alex, Rahmanian, Sorena, Wyman, Dana, Balderrama-Gutierrez, Gabriela, Reese, Fairlie, Durand, Neva C., Dudchenko, Olga, Weisz, David, Rao, Suhas S. P., Blackburn, Alyssa, Gkountaroulis, Dimos, Sadr, Mahdi, Olshansky, Moshe, Eliaz, Yossi, Nguyen, Dat, Bochkov, Ivan, Shamim, Muhammad Saad, Mahajan, Ragini, Aiden, Erez, Gingeras, Tom, Heath, Simon, Hirst, Martin, Kent, W. James, Kundaje, Anshul, Mortazavi, Ali, Wold, Barbara, Cherry, J. Michael
    Publicado 2023
    “…ENCODE pipelines maintained and used by the DCC can be installed to run on personal computers, local HPC clusters, or in cloud computing environments via Cromwell. Access to the pipelines and data via the cloud allows small labs the ability to use the data or software without access to institutional compute clusters. …”
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    Online Artículo Texto
    The ENCODE Uniform Analysis Pipelines
  20. 1760
    “…Rather, it should be sought in a functional hub – a dynamic capacity for binding and propagation of neural signals over multiple task-related networks, a kind of neuronal cloud computing. In this view, conscious contents can arise in any region of the C-T core when multiple input streams settle on a winner-take-all equilibrium. …”
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    Global Workspace Dynamics: Cortical “Binding and Propagation” Enables Conscious Contents
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