Zobrazeno 1 - 10
of 216
pro vyhledávání: '"Multilevel feature"'
Autor:
Wang, Shuangxin a, ⁎, Li, Hongrui a, Jiang, Jiading b, Li, Meng a, Ou, Junmei c, Yu, Dingli c
Publikováno v:
In Engineering Applications of Artificial Intelligence 1 February 2025 141
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 4409-4419 (2024)
Abstract The intrinsic similarity between camouflaged objects and background environment impedes the automatic detection/segmentation of camouflaged objects, and novel network architectures for deep learning are promising to overcome this challenge a
Externí odkaz:
https://doaj.org/article/ce4d415d11de4ebfb91341a06a0aa8d6
Publikováno v:
IEEE Access, Vol 12, Pp 144260-144279 (2024)
Deep learning-based image processing methods for medical brain tumors are current research hotspots in this field. However, a great deal of research has focused on how to classify and segment brain tumors, while relatively little research has been do
Externí odkaz:
https://doaj.org/article/3dd64f9cfe2e42d298b4c6832fa3f8f1
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13981-13994 (2024)
Automatic ship target detection technique is a typical and meaningful application for synthetic aperture radar (SAR) image interpretation. Nevertheless, the detection of ship targets within SAR imagery is encumbered by several detracting elements, in
Externí odkaz:
https://doaj.org/article/5f31c74a07cd40f5b1d512e4e0eb0544
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6860-6874 (2024)
Super-resolution (SR) based on deep learning has been playing an important role in improving the spatial resolution of remote sensing images. Although convolutional neural networks (CNNs) dominate the research of remote sensing image SR, most of them
Externí odkaz:
https://doaj.org/article/cd8d955b438c4d278081e3a9300e02bd
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3560-3570 (2024)
Synthetic aperture radar (SAR) target detection plays a crucial role in both military and civilian fields, attracting significant attention from researchers globally. CenterNet, a single-stage target detection method, is known for its high detection
Externí odkaz:
https://doaj.org/article/9c0f8f33a3d44c65ac720f5210c25ab5
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3282 (2024)
Due to the inadequacy in utilizing complementary information from different modalities and the biased estimation of degraded parameters, the unsupervised hyperspectral super-resolution algorithm suffers from low precision and limited applicability. T
Externí odkaz:
https://doaj.org/article/f4e2bf355aa444459fbf9da38e176af4
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 3, Pp n/a-n/a (2024)
Colorectal cancer (CRC), a leading cause of cancer‐related deaths globally, demands innovative therapeutic strategies to improve patient outcomes. Drug repurposing, identifying new uses for existing drugs, provides a cost‐effective solution. To t
Externí odkaz:
https://doaj.org/article/13f799c1ec1f407688a5c2cb569bd5cb
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-23 (2023)
Abstract Human Skin cancer is commonly detected visually through clinical screening followed by a dermoscopic examination. However, automated skin lesion classification remains challenging due to the visual similarities between benign and melanoma le
Externí odkaz:
https://doaj.org/article/7e8a33d819a44db6961695510a49e6ce
Publikováno v:
Engineering Proceedings, Vol 56, Iss 1, p 338 (2024)
Drowsiness driving poses a significant risk to road safety, necessitating effective drowsiness detection models. Most of the prior research has primarily relied on composite facial-based features, mainly focusing on the mouth and/or eye states, to id
Externí odkaz:
https://doaj.org/article/cc3c29781ba94fc881169ceeb1fe4995