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4TU

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/

241-252 of 551

bachelor-thesis

Code underlying the BSc thesis: Creating Robust Train Unit Shunting Plans using Probabilistic Programming

  • inference
  • Probabilistic modelling
  • railroad
  • + 12
  • (JSON)
  • (Julia)
  • (Markdown)
  • + 2
1
0

Bayesian Ensembles for Exploration in Deep Reinforcement Learning; Code underlying the dissertation "Bayesian Model-Free Deep Reinforcement Learning"

Bayesian Ensembles for Exploration in Deep Reinforcement Learning; Code underlying the dissertation "Bayesian Model-Free Deep Reinforcement Learning"

  • Bayesian modelling
  • Deep Reinforcement Learning (DRL)
  • Ensemble model
  • + 2
  • (Markdown)
  • (Python)
1
0

BEWARE

BEWARE Artifact: Code and Datasets for "Robust and Automated Reconfiguration of Byzantine Wide-Area Replication"

  • BFT-SMaRt
  • Byzantine fault tolerance
  • consensus latency
  • + 7
  • (Java)
  • (JSON)
  • (Markdown)
  • + 5
4
0

Bluesky software: underlying the publication “Improving Algorithm Conflict Resolution Manoeuvres with Reinforcement Learning”

Bluesky software: underlying the publication “Improving Algorithm Conflict Resolution Manoeuvres with Reinforcement Learning”

  • Air traffic management (ATM)
  • BlueSky
  • Conflict detection and resolution
  • + 3
1
0

Boundary-Layer-Program underlying the master thesis: Simulation of Two-Dimensional Steady State Boundary Layers Applied to Nonideal Gas Flows

Boundary-Layer-Program underlying the master thesis: Simulation of Two-Dimensional Steady State Boundary Layers Applied to Nonideal Gas Flows

  • algebraic turbulence model
  • boundary layer method
  • CS-model
  • + 6
1
0

bounded-private-cycle-detection

Source code underlying the publication: Privacy-Preserving Peer-to-Peer Cycle Detection

  • cycle detection
  • multi-party computation
  • privacy-preserving
  • + 1
  • (C)
  • (C++)
  • (Markdown)
  • + 2
2
0

CEConv

Code underlying the publication: Color Equivariant Convolutional Networks

  • color equivariance
  • color robustness
  • equivariance
  • + 1
  • (Markdown)
  • (Other)
  • (Python)
5
0

ChildsPlayAccessibility (Github) code repository: spatial analysis underlying the conference paper "Easy as child’s play? Co-designing a network-based metric for children’s access to play space"

ChildsPlayAccessibility (Github) code repository: spatial analysis underlying the conference paper "Easy as child’s play? Co-designing a network-based metric for children’s access to play space"

  • Accessibility
  • Children
  • Co-design
  • + 2
2
0

Cities for Citizens: Identification of Public Value Conflicts in Urban Spaces - Accompanying Code

Cities for Citizens: Identification of Public Value Conflicts in Urban Spaces - Accompanying Code

  • Natural Language Processing
  • spatial analysis
  • Structural Topic Modelling
  • + 1
1
0

CLEAR-IT

CLEAR-IT, a framework for Contrastive Learning to Capture the Immune Composition of Tumor Microenvironments (software, GitHub mirror)

  • cell phenotyping
  • Contrastive Learning
  • deep learning
  • + 6
  • ("Jupyter Notebook")
  • (Markdown)
  • (Other)
  • + 2
2
0

Cluster Analysis of Temporal Patterns of Travel Production

The codes associated with the publication: A Cluster Analysis of Temporal Patterns of Travel Production in the Netherlands: Dominant within-day and day-to-day patterns and their association with Urbanization Levels

  • demand pattern
  • land-use feature
  • temporal pattern
  • + 2
  • ("Jupyter Notebook")
  • (Markdown)
  • (Other)
  • + 1
3
0

Code accompanying "Observing formation and early evolution of contrails formed by IAGOS aircraft using high-resolution LEO satellite imagery"

Code accompanying "Observing formation and early evolution of contrails formed by IAGOS aircraft using high-resolution LEO satellite imagery"

  • CoCiP
  • Contrails
  • IAGOS
  • + 4
  • (JSON)
  • ("Jupyter Notebook")
  • (large-text-file)
  • + 3
4
0