Results 231 to 240 of about 272,612 (359)
GVMD-NLM: A Hybrid Denoising Method for GNSS Buoy Elevation Time Series Using Optimized VMD and Non-Local Means Filtering. [PDF]
Zhang H, Wang S, Dong C, Xu G, Cai X.
europepmc +1 more source
The study presents a low‐cost, noninvasive system for real‐time neonatal respiratory monitoring. A flexible, screen‐printed sensor patch captures chest movements with high sensitivity and minimal drift. Combined with machine learning, the system accurately detects breathing patterns and offers a practical solution for neonatal care in low‐resource ...
Gitansh Verma +3 more
wiley +1 more source
A denoising method for aeroengine gas path electrostatic signal of low signal-to-noise ratio based on IMFs optimized reconstruction and wavelet threshold. [PDF]
Yan C, Liu Y, Lu F.
europepmc +1 more source
This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley +1 more source
Application of Improved Wavelet Thresholding Function in Image Denoising Processing
Hong Qi Zhang +3 more
openalex +1 more source
Replace2Self: Self-Supervised Denoising Based on Voxel Replacing and Image Mixing for Diffusion MRI
Ling'an WU +4 more
openalex +2 more sources
YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency [PDF]
Hansen Feng +5 more
openalex +1 more source
A Gradient-Projected Model for Image Denoising. [PDF]
Wen Y +5 more
europepmc +1 more source
To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen +4 more
wiley +1 more source

