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4TU.ResearchData is an international data repository for science, engineering and design. We offer research dataset curation, sharing, long-term access and preservation services to anyone, anywhere. You can find our archive at https://data.4tu.nl/

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2025
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29
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16
145-156 of 474
Logo for scv_sparse_data

scv_sparse_data

Code: Calculate Supply Chain Visibility with Sparse Data

  • sparse data
  • supply chain
  • supply chain visibility
  • ("Jupyter Notebook")
  • (Other)
  • (Python)
1
3
Logo for sse-akf-directional-waves-pem

sse-akf-directional-waves-pem

Code underlying the publication: Unidirectional and multi-directional wave estimation from ship motions using an Adaptive Kalman Filter with the inclusion of varying forward speed

  • Adaptive Kalman filter
  • Sea state estimation
  • Ship motion responses
  • + 1
  • (Markdown)
  • (Other)
  • (Python)
1
3
Logo for Supplementary data for the paper 'From A to B with Ease: User-Centric Interfaces for Shuttle Buses'

Supplementary data for the paper 'From A to B with Ease: User-Centric Interfaces for Shuttle Buses'

Supplementary data for the paper 'From A to B with Ease: User-Centric Interfaces for Shuttle Buses'

  • Micro-mobility
  • Shuttle bus
  • User Interface
  • + 1
    5
    3
    Logo for Supplementary materials for the paper: On Senders’s Models of Visual Sampling Behavior

    Supplementary materials for the paper: On Senders’s Models of Visual Sampling Behavior

    Supplementary materials for the paper: On Senders’s Models of Visual Sampling Behavior

    • bandwidth
    • Computer simulation
    • replication
    • + 2
      2
      3
      Logo for agda-core

      agda-core

      Code underlying the publication: Building a Correct-By-Construction Type Checker for a Dependently Typed Core Language

      • core language
      • Dependent Types
      • type-checking
      • + 2
      • (Haskell)
      • (Markdown)
      • (Other)
      • + 1
      2
      2
      Logo for Code supporting the paper: High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations

      Code supporting the paper: High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations

      Code supporting the paper: High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations

      • Feedforward neural network
      • Machine learning
      • Monte Carlo simulations
      • + 2
        3
        2
        Logo for Code to produce the results of the publication: “Reducing the Soleus Stretch Reflex with Conditioning: Exploring Game- and Impedance-based Biofeedback”

        Code to produce the results of the publication: “Reducing the Soleus Stretch Reflex with Conditioning: Exploring Game- and Impedance-based Biofeedback”

        Code to produce the results of the publication: “Reducing the Soleus Stretch Reflex with Conditioning: Exploring Game- and Impedance-based Biofeedback”

        • Electromyography (EMG)
        • Gamification
        • operant conditioning
        • + 2
          1
          2
          Logo for Code underlying the publication: Exploiting Learned Symmetries in Group Equivariant Convolutions

          Code underlying the publication: Exploiting Learned Symmetries in Group Equivariant Convolutions

          Code underlying the publication: Exploiting Learned Symmetries in Group Equivariant Convolutions

          • equivariance
          • equivariant convolutions
          • separable convolutions
          • (Markdown)
          • (Other)
          • (Python)
          2
          2
          Logo for Code underlying the publication: "Humans disagree with the IoU for measuring object detector localization error."

          Code underlying the publication: "Humans disagree with the IoU for measuring object detector localization error."

          Code underlying the publication: "Humans disagree with the IoU for measuring object detector localization error."

          • Human preference
          • Intersection over Union (IoU)
          • Object detection
          • ("Jupyter Notebook")
          • (Markdown)
          • (Other)
          3
          2
          Logo for Data underlying the publication/thesis chapter: Scale Learning in Scale-Equivariant Convolutional Networks

          Data underlying the publication/thesis chapter: Scale Learning in Scale-Equivariant Convolutional Networks

          Data underlying the publication/thesis chapter: Scale Learning in Scale-Equivariant Convolutional Networks

          • computer vision
          • Convolutional neural network (CNN)
          • equivariance
          • + 3
          • (JSON)
          • ("Jupyter Notebook")
          • (Markdown)
          • + 5
          6
          2
          Logo for Dynamic-Graph-Decomposition

          Dynamic-Graph-Decomposition

          Code underlying the publication: Tensor Graph Decomposition for Temporal Networks

          • decomposition
          • dynamic graphs
          • graph signal processing
          • + 1
          • (Matlab)
          • (Other)
          2
          2
          Logo for OFF framework, code underlying the publication A dynamic open-source model to investigate wake dynamics in response to wind farm flow control strategies

          OFF framework, code underlying the publication A dynamic open-source model to investigate wake dynamics in response to wind farm flow control strategies

          OFF framework, code underlying the publication A dynamic open-source model to investigate wake dynamics in response to wind farm flow control strategies

          • dynamic parametric wake model
          • surrogate wake model
          • wind farm flow control
          • + 1
          • (CSS)
          • (HTML)
          • (JavaScript)
          • + 7
          2
          2