Ngā tūemi rite

• Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation
  mā: Schlosser, Tobias, me ētahi atu.
  I whakaputaina: (2021)
• Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects
  mā: Hu, Zhining, me ētahi atu.
  I whakaputaina: (2024)
• Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework
  mā: Schlosser, Tobias, me ētahi atu.
  I whakaputaina: (2019)
• Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System
  mā: Schlosser, Tobias, me ētahi atu.
  I whakaputaina: (2022)
• On the Transfer of Collinearity to Computer Vision
  mā: Beuth, Frederik, me ētahi atu.
  I whakaputaina: (2026)