Showing 341 - 360 results of 3,823 for search '"Deep Learning"', query time: 0.08s Refine Results
  1. 341
  2. 342

    Soil Classification Based on Deep Learning Algorithm and Visible Near-Infrared Spectroscopy by Xueying Li, Pingping Fan, Zongmin Li, Guangyuan Chen, Huimin Qiu, Guangli Hou

    Published 2021-01-01
    “…The aim of this study is to analyze the feasibility of land cover classification with small samples by convolutional neural network and, according to the deep learning algorithm, to explore new methods for rapid, nondestructive, and accurate classification of the land cover.…”
    Get full text
    Article
  3. 343
  4. 344
  5. 345
  6. 346

    Detection Method of Limb Movement in Competitive Sports Training Based on Deep Learning by Chunlin Qin, Shenglu Huo

    Published 2022-01-01
    “…In order to solve the above problems, a limb movement detection method in competitive sports training based on deep learning is proposed. The force change parameters of sports limb movements in the process of sports are computed to achieve the detection of limb movements in competitive sports training, and the limb movement characteristics in competitive sports training are extracted using a deep learning algorithm. …”
    Get full text
    Article
  7. 347

    Deep Learning and Multidisciplinary Imaging in Pediatric Surgical Oncology: A Scoping Review by M. A. D. Buser, J. K. van derRest, M. H. W. A. Wijnen, R. R. deKrijger, A. F. W. van derSteeg, M. M. van denHeuvel‐Eibrink, M. Reismann, S. Veldhoen, L. Pio, M. Markel

    Published 2025-01-01
    “…This indicates a need for advanced image processing technology such as Deep Learning (DL). Aim Our review focused on the use of DL in multidisciplinary imaging in pediatric surgical oncology. …”
    Get full text
    Article
  8. 348

    A parallel spatiotemporal deep learning network for highway traffic flow forecasting by Dongxiao Han, Juan Chen, Jian Sun

    Published 2019-02-01
    “…Experimental results confirm that the overall performance of our parallel spatiotemporal deep learning network surpasses those of other state-of-the-art methods.…”
    Get full text
    Article
  9. 349
  10. 350
  11. 351

    GGSYOLOv5: Flame recognition method in complex scenes based on deep learning. by Fucai Sun, Liping Du, Yantao Dai

    Published 2025-01-01
    “…News of the fire is not uncommon, and fire has become the biggest hidden danger threatening the safety of public life and property. In this paper, a deep learning-based flame recognition method for complex scenes, GGSYOLOv5, is proposed. …”
    Get full text
    Article
  12. 352
  13. 353
  14. 354
  15. 355

    Globally scalable glacier mapping by deep learning matches expert delineation accuracy by Konstantin A. Maslov, Claudio Persello, Thomas Schellenberger, Alfred Stein

    Published 2025-01-01
    “…Here we address this gap and propose Glacier-VisionTransformer-U-Net (GlaViTU), a convolutional-transformer deep learning model, and five strategies for multitemporal global-scale glacier mapping using open satellite imagery. …”
    Get full text
    Article
  16. 356

    Persian SMS Spam Detection using Machine Learning and Deep Learning Techniques by Roya Khorashadizade, Somayyeh Jafarali Jassbi, Alireza Yari

    Published 2022-01-01
    “…This work sought to develop an effective strategy for identifying SMS spam through utilizing combining machine learning classification algorithms together with deep learning models. After applying preprocessing on our gathered dataset, the suggested technique applies two convolutional neural network layers, the first of which being an LSTM layer, and the second one which is a fully connected layer to extract the data characteristics, thereby implementing the suggested deep learning approach. …”
    Get full text
    Article
  17. 357
  18. 358
  19. 359
  20. 360