Zobrazeno 1 - 10
of 227
pro vyhledávání: '"Zuoyong Li"'
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2496 (2024)
Remote sensing of rotated objects often encounters numerous small and dense objects. To tackle small-object neglect and inaccurate angle predictions in elongated objects, we propose SA3Det, a novel method employing Pixel-Level Attention and Adaptive
Externí odkaz:
https://doaj.org/article/61227a500ddc4caabf467d8c06f759e1
Autor:
Pantea Keikhosrokiani, A. Bhanupriya Naidu A/P Anathan, Suzi Iryanti Fadilah, Selvakumar Manickam, Zuoyong Li
Publikováno v:
Digital Health, Vol 9 (2023)
Cardiovascular disease is one of the main causes of death worldwide which can be easily diagnosed by listening to the murmur sound of heartbeat sounds using a stethoscope. The murmur sound happens at the Lub-Dub, which indicates there are abnormaliti
Externí odkaz:
https://doaj.org/article/735e1ec853ac4989b10123fdbb8a52fa
Publikováno v:
智能科学与技术学报, Vol 3, Pp 312-321 (2021)
In a large environment where the power system needs to be inspected, the traditional method of manual inspection has great inconvenience and potential safety risks, and the object detection method of unmanned aerial vehicle has great application pros
Externí odkaz:
https://doaj.org/article/163e69d8c8fc4156bd29de5cb3d3ed00
Publikováno v:
Bioengineering, Vol 10, Iss 7, p 869 (2023)
Medical image segmentation has made significant progress when a large amount of labeled data are available. However, annotating medical image segmentation datasets is expensive due to the requirement of professional skills. Additionally, classes are
Externí odkaz:
https://doaj.org/article/762804cb2f044a16b5635c23ae2134bd
Publikováno v:
IEEE Access, Vol 9, Pp 14918-14932 (2021)
The topic model has been widely applied to various research domains such as information retrieval, data mining, and so on. It can discover topics of texts in an unsupervised way. In the early years, most researches mainly focused on long texts. With
Externí odkaz:
https://doaj.org/article/3c4a6147e0de4eda87b46f0bf350a212
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Neural networks have played critical roles in many research fields. The recently proposed adversarial training (AT) can improve the generalization ability of neural networks by adding intentional perturbations in the training process, but sometimes s
Externí odkaz:
https://doaj.org/article/9177b0ce2ce64e069db1c8680fd207b0
Publikováno v:
IEEE Access, Vol 8, Pp 9488-9500 (2020)
Image dehazing on a hazy image aims to remove the haze and make the image scene clear, which attracts more and more research interests in recent years. Most existing image dehazing methods use a classic atmospheric scattering model and natural image
Externí odkaz:
https://doaj.org/article/fbb32556ad194cd882d5951260ed51b0
Publikováno v:
IEEE Access, Vol 8, Pp 24896-24903 (2020)
Patients with Craniomaxillofacial (CMF) deformities always get isolated deformed jaws with normal midfaces. Orthognathic surgery is specifically designed to correct jaws of the patients with normal midfaces. To improve performance of the surgery, a p
Externí odkaz:
https://doaj.org/article/5ee95756a61c4b258a5730706fc67036
Publikováno v:
IEEE Access, Vol 8, Pp 41372-41383 (2020)
Tongue diagnosis plays a key role in TCM (Traditional Chinese Medicine) diagnosis. Tongue image segmentation lays a solid foundation for quantitative tongue analysis and diagnosis. However, the segmentation of tongue body is challenging due to the fa
Externí odkaz:
https://doaj.org/article/0ecc3b93e4fe43579cc5cc38a96771dd
Publikováno v:
Brain Sciences, Vol 12, Iss 10, p 1348 (2022)
Resting-state functional magnetic resonance imaging (rs-fMRI) has been used to construct functional connectivity (FC) in the brain for the diagnosis and analysis of brain disease. Current studies typically use the Pearson correlation coefficient to c
Externí odkaz:
https://doaj.org/article/82fe122dd5f648beb55fd46814bf613c