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Khaza Anuarul Hoque (IMAGE)

University of Missouri-Columbia

Khaza Anuarul Hoque

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Khaza Anuarul Hoque

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Khaza Anuarul Hoque

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Eric Stann
University of Missouri-Columbia
stanne@missouri.edu
Office: 573-882-3346



More on this News Release

‘Explainable AI’ can efficiently detect AR/VR cybersickness

University of Missouri-Columbia

Keywords

  • /Applied sciences and engineering
  • /Applied sciences and engineering/Computer science/Artificial intelligence/Machine learning
  • /Applied sciences and engineering/Computer science/User interfaces/Virtual reality
  • /Applied sciences and engineering/Engineering/Electrical engineering
  • /Applied sciences and engineering/Computer science
  • /Applied sciences and engineering/Computer science/Artificial intelligence
  • /Applied sciences and engineering/Computer science/Artificial intelligence/Logic based AI
  • /Applied sciences and engineering/Engineering
  • /Physical sciences/Physics/Mechanics/Classical mechanics/Kinetics/Motion
  • /Health and medicine/Human health
  • /Applied sciences and engineering/Engineering/Robotics/Robot control/Cybernetics

Additional Multimedia

Khaza Anuarul Hoque
Khaza Anuarul Hoque

Original Source

https://showme.missouri.edu/2023/explainable-ai-can-efficiently-detect-ar-vr-cybersickness/

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