Zobrazeno 1 - 10
of 519
pro vyhledávání: '"multi-level feature"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Analysis of heart sound signals plays an essential role in preventing and diagnosing cardiac diseases. This study proposes a multi-level feature encoding algorithm based on frequency-balanced power spectral intensity for heart sound signal c
Externí odkaz:
https://doaj.org/article/d68f3c28a8864f8688252ec0b93ce117
Autor:
Xinjie Zhu
Publikováno v:
Journal of Applied Science and Engineering, Vol 28, Iss 7, Pp 1463-1471 (2024)
In multimedia pattern recognition, particularly in English education, the sharing of local features between classes and their varying classification reliability are often overlooked in existing methods, which diminishes feature discrimination and co
Externí odkaz:
https://doaj.org/article/fdd7a9e4486744cfbf5a7956c678569f
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
IntroductionThe nucleus plays a crucial role in medical diagnosis, and accurate nucleus segmentation is essential for disease assessment. However, existing methods have limitations in handling the diversity of nuclei and differences in staining condi
Externí odkaz:
https://doaj.org/article/1ecba08a9b6e4244b792468e3a39e502
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
The rapid advancement in Earth observation technologies has improved the acquisition of precise data on terrestrial changes. However, traditional binary change detection (BCD) fails to satisfy the complex demands of contemporary applications. In cont
Externí odkaz:
https://doaj.org/article/c5b5cbb4ed3d42f38f12b739efdc61a1
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
IntroductionResidential load forecasting is a challenging task due to the random fluctuations caused by complex correlations and individual differences. The existing short-term load forecasting models usually introduce external influencing factors su
Externí odkaz:
https://doaj.org/article/5e33aa38bf9e4cca9784833a4005429a
Publikováno v:
IET Image Processing, Vol 18, Iss 4, Pp 961-971 (2024)
Abstract Inverse halftoning is a technology that converts a binary image into a continuous tone image. Due to the wide application of inverse halftoning, many scholars have proposed several deep convolutional neural networks (DCNN) to optimize their
Externí odkaz:
https://doaj.org/article/4cb6f776d28d41eea3766c94ddf2c6ee
Autor:
Wasim Wahid, Aisha Ahmed AlArfaj, Ebtisam Abdullah Alabdulqader, Touseef Sadiq, Hameedur Rahman, Ahmad Jalal
Publikováno v:
IEEE Access, Vol 12, Pp 179839-179856 (2024)
This paper presents an advanced approach to Human Pose Estimation (HPE) and Semantic Event Classification (SEC), emphasizing the need for sophisticated human skeleton models, context-aware feature extraction, and machine learning techniques for preci
Externí odkaz:
https://doaj.org/article/e2cfa2a3516e4ac98b258ac8012410e3
Publikováno v:
IEEE Access, Vol 12, Pp 164303-164314 (2024)
In this study, an Infrared Small-Target Detection Transformer (IST-DETR) is introduced, a novel model specifically designed to tackle the challenges of low-resolution infrared images and small target scales. IST-DETR integrates a backbone network, a
Externí odkaz:
https://doaj.org/article/34b66cb4fbfe4096914d59960845bef4
Publikováno v:
IEEE Access, Vol 12, Pp 89124-89134 (2024)
The 3D human pose estimation is a technique used to determine the position of the human body in a three-dimensional space. This involves identifying body rotations, joint angles, and other pose-related information from image or video data. In this pa
Externí odkaz:
https://doaj.org/article/d8baf9ed1d2c4d54b1e80ba7a86f7fca
Publikováno v:
IEEE Access, Vol 12, Pp 67355-67367 (2024)
Accurate segmentation of organs and lesions from medical images holds paramount importance in aiding physicians with diagnosis and monitor diseases. At present, the widespread application of deep-learning in medical image segmentation is primarily at
Externí odkaz:
https://doaj.org/article/af1130e89407481a8b739ced487daffe