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5 Results Found

  • Article
  • Open Access
12 Citations
4,462 Views
13 Pages

Low Complexity Speech Enhancement Network Based on Frame-Level Swin Transformer

  • Weiqi Jiang,
  • Chengli Sun,
  • Feilong Chen,
  • Yan Leng,
  • Qiaosheng Guo,
  • Jiayi Sun and
  • Jiankun Peng

In recent years, Transformer has shown great performance in speech enhancement by applying multi-head self-attention to capture long-term dependencies effectively. However, the computation of Transformer is quadratic with the input speech spectrogram...

  • Article
  • Open Access
7 Citations
2,671 Views
16 Pages

15 September 2023

Transmission lines are often located in complex environments and are susceptible to the presence of foreign objects. Failure to promptly address these objects can result in accidents, including short circuits and fires. Existing foreign object detect...

  • Article
  • Open Access
948 Views
19 Pages

5 November 2025

The creation of simulation-ready digital twins for real-world simulations is hindered by two key challenges: the lack of widely consistent, application-ready open access terrain data and the inadequacy of conventional evaluation metrics to predict pr...

  • Article
  • Open Access
1 Citations
1,493 Views
15 Pages

23 October 2024

The Czochralski method is the primary technique for single-crystal silicon production. However, anomalous states such as crystal loss, twisting, swinging, and squareness frequently occur during crystal growth, adversely affecting product quality and...

  • Article
  • Open Access
9 Citations
1,777 Views
22 Pages

A Lightweight Cotton Verticillium Wilt Hazard Level Real-Time Assessment System Based on an Improved YOLOv10n Model

  • Juan Liao,
  • Xinying He,
  • Yexiong Liang,
  • Hui Wang,
  • Haoqiu Zeng,
  • Xiwen Luo,
  • Xiaomin Li,
  • Lei Zhang,
  • He Xing and
  • Ying Zang

14 September 2024

Compared to traditional manual methods for assessing the cotton verticillium wilt (CVW) hazard level, utilizing deep learning models for foliage segmentation can significantly improve the evaluation accuracy. However, instance segmentation methods fo...