Concepedia

Deep Learning Based Range Prediction

Deep Learning Based Range Prediction is a computational method that employs deep neural networks to estimate distance or spatial extent from sensor or image data, distinguished from traditional range prediction techniques by its reliance on learned hierarchical feature representations from large-scale datasets.

15

Publications

512

Citations

52

Authors

29

Institutions

Publications per year

2017–2026

14

Parents

Publications

15

Proximity Prediction of Mobile Objects to Prevent Contact-Driven Accidents in Co-Robotic Construction

Daeho Kim, Sang Hyun Lee, Vineet R. Kamat · Journal of Computing in Civil Engineering · 2020 · 82 citations

, , +17

Deep transfer learning for source ranging: Deep-sea experiment results

Wenbo Wang, Haiyan Ni, Lin Su et al. · The Journal of the Acoustical Society of America · 2019 · 74 citations · Full text

, , +15

Seabed and range estimation of impulsive time series using a convolutional neural network

David F. Van Komen, Tracianne B. Neilsen, Kira Howarth et al. · The Journal of the Acoustical Society of America · 2020 · 56 citations · Full text

, , +15

Deep Learning-based Estimation for Multitarget Radar Detection

Mamady Delamou, Ahmad Bazzi, Marwa Chafii et al. · 2023 · 47 citations

, , +14

Deep Learning Approaches for Air-Writing Using Single UWB Radar

Nermine Hendy, Haytham M. Fayek, Akram Al‐Hourani · IEEE Sensors Journal · 2022 · 41 citations

, , +15

1–5 of 15

Authors

52

  1. DP
    David P. Knobles

    The University of Texas at Austin, United States

    3 publications · 87 citations

    3

    h-index

  2. TB
    Tracianne B. Neilsen

    Brigham Young University, United States

    3 publications · 87 citations

    3

    h-index

  3. PH
    Peter H. Dahl

    University of Washington Applied Physics Laboratory, United States

    2 publications · 77 citations

    2

    h-index

  4. KH
    Kira Howarth

    Brigham Young University, United States

    2 publications · 77 citations

    2

    h-index

  5. DF
    David F. Van Komen

    Brigham Young University, United States

    2 publications · 77 citations

    2

    h-index

1–5 of 52

Institutions

29

  1. Brigham Young University

    Provo, United States

    3 h-index

    9 publications

    307 citations

  2. University of Washington

    Seattle, United States

    2 h-index

    2 publications

    77 citations

  3. The University of Texas at Austin

    Austin, United States

    2 h-index

    3 publications

    50 citations

  4. Institute of Acoustics

    Beijing, China

    2 h-index

    9 publications

    540 citations

  5. King Fahd University of Petroleum and Minerals

    Dhahran, Saudi Arabia

    1 h-index

    1 publications

    28 citations

  6. Buraydah Colleges

    Buraidah, Saudi Arabia

    1 h-index

    1 publications

    28 citations

  7. Chinese Academy of Sciences

    Beijing, China

    1 h-index

    6 publications

    444 citations

  8. RMIT University

    Melbourne, Australia

    1 h-index

    3 publications

    123 citations

1–8 of 29

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 2 publications · 130 citations

    2

    h-index

  2. Results in Engineering

    1 publications · 28 citations

    1

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 16 citations

    1

    h-index

  4. Journal of Computing in Civil Engineering

    1 publications · 82 citations

    1

    h-index

  5. IEEE Sensors Journal

    1 publications · 41 citations

    1

    h-index

1–5