Zobrazeno 1 - 10
of 946
pro vyhledávání: '"feature transformation"'
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 7, Iss 1, Pp 1-20 (2024)
Abstract Low-dose computed tomography (LDCT) has gained increasing attention owing to its crucial role in reducing radiation exposure in patients. However, LDCT-reconstructed images often suffer from significant noise and artifacts, negatively impact
Externí odkaz:
https://doaj.org/article/a66bf9d9a0614c76862c3ee4c0316a2c
Autor:
Ahmed Ali Linkon, Inshad Rahman Noman, Md Rashedul Islam, Joy Chakra Bortty, Kanchon Kumar Bishnu, Araf Islam, Rakibul Hasan, Masuk Abdullah
Publikováno v:
IEEE Access, Vol 12, Pp 165425-165440 (2024)
The increasing prevalence of diabetes necessitates the development of effective early detection methods to mitigate its health impacts. This paper investigates the impact of feature transformation and machine learning (ML) models on the early detecti
Externí odkaz:
https://doaj.org/article/1357954315ea452e9d1ec79eb5287411
Agricultural Vehicle Automatic Navigation Positioning and Obstacle Avoidance Technology Based on ICP
Publikováno v:
IEEE Access, Vol 12, Pp 85940-85954 (2024)
The problem of closed branches and leaves in orchards can cause satellite navigation systems to experience star loss, leading to safety issues such as collisions and loss of control. To address this issue, this study develops a multi-mode navigation
Externí odkaz:
https://doaj.org/article/76f66ae73a6c42d68dafe5733431b660
Publikováno v:
Journal of Innovative Optical Health Sciences, Vol 17, Iss 03 (2024)
Photoacoustic imaging (PAI) is a noninvasive emerging imaging method based on the photoacoustic effect, which provides necessary assistance for medical diagnosis. It has the characteristics of large imaging depth and high contrast. However, limited b
Externí odkaz:
https://doaj.org/article/ca844e8053e64a23a67a3364c75534be
Autor:
Md. Shahriare Satu, Syed Faridul Islam
Publikováno v:
Discover Artificial Intelligence, Vol 3, Iss 1, Pp 1-13 (2023)
Abstract In the evolution of digital technology, e-commerce sectors are gradually changing to realize customers’ demands and supply required things with low cost and due time. Recently, various machine learning techniques have been used to investig
Externí odkaz:
https://doaj.org/article/2b6a014a65f94b7fb936ee3f95a9eb39
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, we first use SemiSDAE and matrix decomposition to model the source and target domains according to the subject features and convert the encoder feature space to the matrix decomposition feature space through the feature transformation
Externí odkaz:
https://doaj.org/article/5b282bcbd17d40d897fbf0aa7d551d42
Autor:
Xu Jing
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, on the basis of the Unity3D engine, image feature points are coarsely extracted, and a quadtree-based division algorithm is applied to filter the optimal FAST corner points. The fast 3D reconstruction technique is constructed through t
Externí odkaz:
https://doaj.org/article/d2268739c9744737a96cf7d459d9bb9b
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 8, Iss 2, Pp 500-517 (2023)
Abstract In this paper, an Observation Points Classifier Ensemble (OPCE) algorithm is proposed to deal with High‐Dimensional Imbalanced Classification (HDIC) problems based on data processed using the Multi‐Dimensional Scaling (MDS) feature extra
Externí odkaz:
https://doaj.org/article/9a38f78e33244f7fafdb335f0f1b8dc6
Publikováno v:
IEEE Access, Vol 11, Pp 1708-1717 (2023)
Traditional self-supervised learning requires convolutional neural networks (CNNs) using external pretext tasks (i.e., image- or video-based tasks) to encode high-level semantic visual representations. In this paper, we show that feature transformati
Externí odkaz:
https://doaj.org/article/f9c7111f594347e39c381f1feb392e38
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