Search Results - Acree, Mason C

  • Showing 1 - 9 results of 9
Refine Results
  1. 1
    Seabed type and source parameters predictions using ship spectrograms in convolutional neural networks

    Seabed type and source parameters predictions using ship spectrograms in convolutional neural networks by Van Komen, David F, Neilsen, Tracianne B, Mortenson, Daniel B, Acree, Mason C, Knobles, David P, Badiey, Mohsen, Hodgkiss, William S

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  2. 2
    Applications of semi-supervised learning methods in underwater acoustics

    Applications of semi-supervised learning methods in underwater acoustics by Acree, Mason C., Neilsen, Tracianne B., Knobles, David P.

    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    Seabed type and source parameters predictions using ship spectrograms in convolutional neural networksa

    Seabed type and source parameters predictions using ship spectrograms in convolutional neural networksa by Van Komen, David F., Neilsen, Tracianne B., Mortenson, Daniel B., Acree, Mason C., Knobles, David P., Badiey, Mohsen, Hodgkiss, William S.

    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    Sound classification during Seabed Classification Experiment 2017

    Sound classification during Seabed Classification Experiment 2017 by Earnhardt, Allison N., Neilsen, Tracianne B., Acree, Mason C., Hodgkiss, William, Knobles, David P.

    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    Semi-supervised deep learning of source location and seabed class from unlabeled merchant ships in the shallow ocean

    Semi-supervised deep learning of source location and seabed class from unlabeled merchant ships in the shallow ocean by Acree, Mason C., Neilsen, Tracianne B., Knobles, David P., Hodgkiss, William

    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    A deep learning approach to source localization and seabed classification using pressure time-series from a vertical array

    A deep learning approach to source localization and seabed classification using pressure time-series from a vertical array by Acree, Mason C., Van Komen, David F., Neilsen, Tracianne B., Knobles, David P.

    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    Effect of environmental uncertainty on source localization from mid-frequency tonals using convolutional neural networks

    Effect of environmental uncertainty on source localization from mid-frequency tonals using convolutional neural networks by Neilsen, Tracianne B., Escobar, Christian, Acree, Mason C., Hodgkiss, William, Van Komen, David F., Knobles, David P., Badiey, Mohsen, Castro-Correa, Jhon A.

    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Sound Signal Classification in the New England Mud Patch

    Sound Signal Classification in the New England Mud Patch by Earnhardt, Allison N., Neilsen, Tracianne B., Acree, Mason C., Hodgkiss, William S., Knobles, D. P.

    Request full text
    Conference Proceeding
    Save to List
    Saved in:
  9. 9
    The reward-based eating drive scale: a self-report index of reward-based eating

    The reward-based eating drive scale: a self-report index of reward-based eating by Epel, Elissa S, Tomiyama, A Janet, Mason, Ashley E, Laraia, Barbara A, Hartman, William, Ready, Karen, Acree, Michael, Adam, Tanja C, St Jeor, Sachiko, Kessler, David

    Published in PloS one
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:

Search Tools: