17th International Conference on Mass Data Analysis of Images and Signals in Artificial Intelligence and Pattern Recognition (MDA-AI&PR)

  • 11-12 Jul 2022
  • New York Marriott Downtown, New York City, NY, United States

Description

The 17th International Conference on Mass Data Analysis of Images and Signals in Artificial Intelligence and Pattern Recognition (MDA-AI&PR) covers topics such as:

  • Techniques and developments of signal and image producing procedures
  • Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry and Agriculture
  • 1D, 2D and 3D shape analysis and description
  • Object matching and object tracking in microscopic and video microscopic images
  • Algorithms for 1D, 2D and 3D signal analysis and interpretation
  • 1D, 2D and 3D feature extraction of texture, structure and location
  • Parallelization of image analysis and interpretation algorithms
  • Image segmentation algorithms
  • Applications in medicine, biotechnology, chemistry and others
  • Semantic tagging of microscopic images
  • Applications in proteomics
  • Applications in crystallography
  • Image Acquisition procedures for mass data analysis
  • Applications in 2D and 3D cell images analysis
  • Recognition methods for moving objects (face, iris, body)
  • Methods and solutions for biometrical systems (Face-, Iris and Fingerprint Recognition)
  • Methods for data encryption (e.g. crypotographic methods, watermarking)

The 17th International Conference on Mass Data Analysis of Images and Signals in Artificial Intelligence and Pattern Recognition (MDA-AI&PR) will be held in New York City on 11-12 July 2022.

Venue

  • New York Marriott Downtown , 85 West Street at Albany Street, New York City, New York, United States

More Details

Prices:
550 Euro (Estimated)
Organizer:
FutureLab Artificial Intelligence IBaI_II
Website:

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Important

Please, check the official event website for possible changes, before making any traveling arrangements

Event Categories

Science: Cognitive science, Computer Science
Technology: Artificial Intelligence (AI), Data management, Imaging & Graphics

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