Sökning: "Data-Centric"

Visar resultat 1 - 5 av 13 avhandlingar innehållade ordet Data-Centric.

  1. 1. Synthetic data for visual machine learning : A data-centric approach

    Författare :Apostolia Tsirikoglou; Jonas Unger; Gabriel Eilertsen; Anders Ynnerman; Philipp Slusallek; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Training data; Synthetic images; Computer graphics; Generative modeling; Natural images; Histopathology; Digital pathology; Machine learning; Deep learning;

    Sammanfattning : Deep learning allows computers to learn from observations, or else training data. Successful application development requires skills in neural network design, adequate computational resources, and a training data distribution that covers the application do-main. LÄS MER

  3. 2. Data-Centric Network of Things : A Method for Exploiting the Massive Amount of Heterogeneous Data of Internet of Things in Support of Services

    Författare :Bin Xiao; Rahim Rahmani; Theo Kanter; Mika Ylianttila; Stockholms universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Internet of Things; Big Data; Artificial Intelligence; Data Supply; Distributed System; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Internet of things (IoT) generates massive amount of heterogeneous data, which should be efficiently utilized to support services in different domains. Specifically, data need to be supplied to services by understanding the needs of services and by understanding the environment changes, so that necessary data can be provided efficiently but without overfeeding. LÄS MER

  4. 3. Data-Centric AI for Software Performance Engineering - Predicting Workload Dependent and Independent Performance of Software Systems Using Machine Learning Based Approaches

    Författare :Hazem Samoaa; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Representation Learning; Software Performance Prediction; Machine Learning; Source code Representation; Graph Neural Network; Deep Learning; Data-Centric AI;

    Sammanfattning : Context: Machine learning (ML) approaches are widely employed in various software engineering (SE) tasks. Performance, however, is one of the most critical software quality requirements. Performance prediction is estimating the execution time of a software system prior to execution. LÄS MER

  5. 4. Large-scale I/O Models for Traditional and Emerging HPC Workloads on Next-Generation HPC Storage Systems

    Författare :Wei Der Chien; Stefano Markidis; Erwin Laure; Artur Podobas; Philip Carns; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; HPC; I O; Parallel I O; MPI; object storage; TensorFlow; Data-Centric; Artificial Intelligence; Machine Learning; Computer Science; Datalogi;

    Sammanfattning : The ability to create value from large-scale data is now an essential part of research and driving technological development everywhere from everyday technology to life-saving medical applications. In almost all scientific fields that require handling large-scale data, such as weather forecast, physics simulation, and computational biology, supercomputers (HPC systems) have emerged as an essential tool for implementing and solving problems. LÄS MER

  7. 5. A Data-centric Internet of Things Framework Based on Public Cloud

    Författare :Yu Liu; Shaofang Gong; Magnus Karlsson; Zhibo Pang; Ulf Bodin; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : The pervasive application of Internet of Things (IoT) has been seen in many aspects in human daily life and industrial production. The concept of IoT originates from traditional machine-to-machine (M2M) communications which aimed at solving domain-specific and applicationspecific problems. LÄS MER