Patents by Inventor Korhan AYRANCI

Korhan AYRANCI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • METHOD FOR DETERMINING ICHNOLOGICAL SUBSURFACE GEOLOGIC FORMATION
    Publication number: 20250037413
    Abstract: A system, method, and non-transitory computer readable medium for ichnological classification of geological images are described. The method of ichnological classification of geological images includes receiving a geological image by a computing device having circuitry including a memory storing program instructions and one or more processors configured to perform the program instructions, formatting the geological image to generate a formatted geological image, applying the formatted geological image to a deep convolutional neural network (DCNN) trained to classify bioturbation indices, and matching the formatted geological image to a bioturbation index class.
    Type: Application
    Filed: October 16, 2024
    Publication date: January 30, 2025
    Applicant: King Fahd University of Petroleum and Minerals
    Inventors: Korhan AYRANCI, Umair Bin WAHEED
  • Automated bioturbation image classification using deep learning
    Patent number: 12142024
    Abstract: A system, method, and non-transitory computer readable medium for ichnological classification of geological images are described. The method of ichnological classification of geological images includes receiving a geological image by a computing device having circuitry including a memory storing program instructions and one or more processors configured to perform the program instructions, formatting the geological image to generate a formatted geological image, applying the formatted geological image to a deep convolutional neural network (DCNN) trained to classify bioturbation indices, and matching the formatted geological image to a bioturbation index class.
    Type: Grant
    Filed: December 28, 2021
    Date of Patent: November 12, 2024
    Assignee: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
    Inventors: Korhan Ayranci, Umair Bin Waheed
  • AUTOMATED BIOTURBATION IMAGE CLASSIFICATION USING DEEP LEARNING
    Publication number: 20230206590
    Abstract: A system, method, and non-transitory computer readable medium for ichnological classification of geological images are described. The method of ichnological classification of geological images includes receiving a geological image by a computing device having circuitry including a memory storing program instructions and one or more processors configured to perform the program instructions, formatting the geological image to generate a formatted geological image, applying the formatted geological image to a deep convolutional neural network (DCNN) trained to classify bioturbation indices, and matching the formatted geological image to a bioturbation index class.
    Type: Application
    Filed: December 28, 2021
    Publication date: June 29, 2023
    Applicant: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
    Inventors: Umair Bin WAHEED, Korhan AYRANCI