Search alternatives:
coefficient » efficient (Expand Search)
Showing 381 - 400 results of 1,018 for search 'complex (selection OR detection) coefficient', query time: 0.18s Refine Results
  1. 381

    EMVAS: end-to-end multimodal emotion visualization analysis system by Xianxun Zhu, Heyang Feng, Erik Cambria, Yao Huang, Ming Ju, Haochen Yuan, Rui Wang

    Published 2025-07-01
    “…For feature extraction, facial landmark detection and action unit analysis capture fine-grained visual cues; Mel-frequency cepstral coefficients, log-scaled fundamental frequency, and Constant-Q transform extract detailed audio features; and a Transformer-based encoder processes textual data for contextual emotion analysis. …”
    Get full text
    Article
  2. 382
  3. 383

    Deformation Monitoring of Truss Structure Bridge With Time-Series InSAR Analysis by Chuanxu Sun, Gen Li, Zihan Hu, Yifan Wang, Zehua Dong, Tao Zeng

    Published 2025-01-01
    “…However, large-span steel truss structure bridges have complex bridge structures and deformation forms, which make it difficult for the traditional persistent scatterer interferometry (PSI) method to realize the precise detection of their deformation, resulting in a series of limitations. …”
    Get full text
    Article
  4. 384

    Multiscale Performance of Global Blended Satellite Precipitation Products Over Taiwan by Liping Wang, Haonan Chen, Zhe Li

    Published 2025-01-01
    “…Strong land–ocean interactions and complex terrain have been challenging the accuracy of satellite precipitation products (SPPs). …”
    Get full text
    Article
  5. 385

    Sea Surface Current Retrieval From Sequential SAR and Ocean Color Images for Eddy Kinematics Analysis: A Case Study in the Northern Tyrrhenian Sea by Xue Yang, Jinsong Chong, Yawei Zhao

    Published 2024-01-01
    “…The two current fields were in good agreement, with a complex correlation coefficient of 0.65 in magnitude and 2.23° in phase. …”
    Get full text
    Article
  6. 386

    PIDLF+: A Novel Adaptive PIDLF for Forestry Height Mapping Based on Single-Baseline PolInSAR Data by Dandan Li, Hailiang Lu, Mercedes E. Paoletti, Juan M. Haut, Juntao Gu, Chao Li, Weipeng Jing

    Published 2025-01-01
    “…Nevertheless, due to the complex terrain of forest areas, it is difficult to ensure the inversion accuracy when training in a specific forested scene and then applying it to other areas. …”
    Get full text
    Article
  7. 387
  8. 388
  9. 389
  10. 390
  11. 391
  12. 392

    CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas by Dekai Li, Harold Neira-Molina, Mengxing Huang, Syam M.S., Yu Zhang, Zhang Junfeng, Uzair Aslam Bhatti, Muhammad Asif, Nadia Sarhan, Emad Mahrous Awwad

    Published 2025-01-01
    “…In recent years, the convolutional neural network (CNN) framework and transformer models have demonstrated strong performance in HSI classification, especially in applications requiring precise change detection and analysis. However, due to the high dimensionality of HSI data and the complexity of spectral-spatial feature extraction, achieving accurate results in coastal areas remains challenging. …”
    Get full text
    Article
  13. 393
  14. 394
  15. 395
  16. 396

    Ground-Independent UAV Quantitative Mapping and In Situ Experimental Validation for Coral Reef Habitats by Enze Wang, Huaguo Zhang, Yunhan Ma, Han Tong, Juan Wang, Wenting Cao, Dongling Li

    Published 2025-01-01
    “…In the study area, water depths between 0 and 6 m were well detected. UAV-derived depths achieved a coefficient of determination (<italic>R</italic><sup>2</sup>) of 0.910 and an overall RMSE of 0.410 m compared to echo-sounding results. …”
    Get full text
    Article
  17. 397
  18. 398

    Sentinel-2 Masking CNNs Trained on Physics-Supervised Labels by Efrain Padilla-Zepeda, Kevin Alonso, Raquel De Los Reyes, Deni Torres-Roman, Avi Putri Pertiwi, Tobias Storch

    Published 2025-01-01
    “…Rather than relying on manually labeled data, the proposed method selects high-quality training samples from Python-based atmospheric correction software (PACO), using pixel selection strategies to remove ambiguous or inconsistent labels. …”
    Get full text
    Article
  19. 399
  20. 400