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1. Feature Extraction Method Based on Contrastive Learning for Dysarthria Detection NSTL国家科技图书文献中心

Yudong Yang |  Xinyi Wu... -  《Social Robotics》 -  International Conference on Social Robotics - 2025, - 272~281 - 共10页

摘要: proposes a feature extraction method for dysarthria |  require annotated data. This method investigates how to | , this method enhances detection accuracy. Finally | Dysarthria detection is crucial for clinical |  diagnosis and treatment. However, existing methods
关键词: Dysarthria detection |  Contrastive learning |  Feature extraction

2. Road boundary extraction method from mobile laser scanning point clouds NSTL国家科技图书文献中心

Xin, Gongfeng |  Cong, Bori... -  《Measurement Science & Technology》 - 2025,36(1) - 1~11 - 共11页

摘要:. Accurate extraction of the road boundary is abasic task |  problems such as difficulty and incomplete extraction of | %, and the extraction quality is above 90%, which |  verifies the effectiveness andaccuracy of this method. | With the rapid development of mobile laser
关键词: mobile laser scanning |  pavement edges |  overlay fusion |  topology |  road boundary

3. From Global to Local: A Dual-Branch Structural Feature Extraction Method for Hyperspectral Image Classification NSTL国家科技图书文献中心

Ying Zhang |  Lianhui Liang... -  《IEEE journal of selected topics in applied earth observations and remote sensing》 - 2025,18 - 1778~1791 - 共14页

摘要: structural feature extraction method fully leverages the |  feature extraction method is proposed by performing | . However, most feature extraction methods suffer from |  our method are detailed below: First, an image | . Third, a PTF-based local multiscale feature extraction
关键词: Feature extraction |  Training |  Hyperspectral imaging |  Data mining |  Kernel |  Transformers |  Image fusion |  Electronic mail |  TV |  Support vector machines

4. Global optimal Ramanujan spectrum: A feature extraction method without pseudo-monotonicity NSTL国家科技图书文献中心

Jian Cheng |  Haiyang Pan... -  《Expert Systems with Application》 - 2025,260(Jan.) - 125425.1~125425.9 - 共9页 - 被引量:3

摘要:As a common state feature extraction method |  interference. In this paper, a new feature extraction method |  effective state feature extraction method. |  envelope, the existing spectral analysis method is not |  proposed. GORS method innovatively uses iterative
关键词: Global optimal Ramanujan spectrum |  Pseudo-monotonicity of feature index |  Feature extraction

5. Precise subpixel luminance extraction method for De-Mura of AMOLED displays NSTL国家科技图书文献中心

Zhong Zheng |  Zhaohua Zhou... -  《Displays》 - 2025,86(Jan.) - 102889.1~102889.6 - 共6页

摘要: extraction method in De-Mura and to address inaccuracies |  extraction method based on effective area. We establish the |  standard deviation indicates that our method outperforms |  the traditional whole-pixel method, improving | Currently, Mura defects have a significant
关键词: De-Mura |  AMOLED |  Circle of confusion |  Luminance extraction

6. Spectrophotometric determination of zinc in blood and food samples using an air-assisted rapid synergistic-cloud point extraction method based on deep eutectic solvents NSTL国家科技图书文献中心

Al-Murshedi, Azhar Y... |  Shabaa, Ghusoon Jawa...... -  《Journal of Food Composition and Analysis》 - 2025,137 - 共8页 - 被引量:2

摘要: synergistic cloud point extraction (AA-RS-CPE) method based |  method. This approach was improved to be safer and more | At room temperature, an air-assisted rapid |  on deep eutectic solvent (DES) was presented to |  determine Zn (II) traces in various samples. Nonanoic acid
关键词: Cloud point extraction method |  Deep eutectic solvent |  Greenness evaluation |  Synergistic reagent |  Spectrophotometry |  Zinc

7. A self-supervised building extraction method based on multi-modal remote sensing data NSTL国家科技图书文献中心

Yunhao Qu |  Chang Wang -  《Remote sensing letters》 - 2025,16(1/3) - 77~88 - 共12页

摘要: building extraction method that integrates LiDAR height |  building extraction from remote sensing imagery |  (INNCNet), which performs well in building extraction |  proposed method achieves high accuracy without annotated | , unsupervised building extraction in remote sensing
关键词: Building |  multimodal |  remote sensing |  feature importance |  self-supervised

8. An Optimal Rotating Machinery Fault Feature Extraction Method Based on the Variational Mode Extraction and Synthetic Detection Index NSTL国家科技图书文献中心

Na Lu |  Shuangyun Jiang... -  《Journal of Vibration Engineering & Technologies》 - 2025,13(1 Pt.2) - 117~ - 共18页

摘要: fault feature extraction method based on VME and the |  mode extraction (VME) has been a challenge in fault |  feature extraction. Previous studies have often |  aims to propose a more effective method for fault |  feature extraction in rotating machinery. Methods. A
关键词: Rotating machinery |  Feature extraction |  Fault diagnosis |  Variational mode extraction |  Particle swarm optimization algorithm |  Synthetic detection index

9. A Relation Extraction Method Based on Multi-layer Index and Cascading Binary Framework NSTL国家科技图书文献中心

Wanting Ji |  Keyan Wen... -  《Advanced Data Mining and Applications,Part V》 -  International Conference on Advanced Data Mining and Applications - 2025, - 113~126 - 共14页

摘要:Relation extraction is a long-term and |  challenging task in information extraction, which aims to |  extraction methods have been applied to many fields and |  existing relation extraction methods only focus on the |  relation extraction between general entities, resulting
关键词: Relation extraction |  Cascading binary framework |  Multi-layer index |  Natural language processing |  Data integration

10. Simple extraction method of magnetic hysteresis curve from measurement data NSTL国家科技图书文献中心

Rezki, Mohamed |  Bensaid, Samir... -  《Measurement Science & Technology》 - 2025,36(1) - 1~7 - 共7页

摘要: hysteresis curve using a new numerical integration method | . The most used method for extracting the hysteresis |  through a capacitor. This method is a hardware and |  method allows to directly integrate all signal |  times. The method is implemented in OCTAVE open source
关键词: non-sinusoidal signal integration |  voltage and current measurements |  magnetic hysteresis loop extraction |  Iron losses
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