Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Feature Extraction Network"'
Autor:
M. Elhoseny, Deepak Dasaratha Rao, Bala Dhandayuthapani Veerasamy, Noha Alduaiji, J. Shreyas, Piyush Kumar Shukla
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-19 (2024)
Abstract Environmental perception is one of the key technologies to realize autonomous vehicles. The fault diagnosis process involves identifying the fault that occurred or the cause of the out-of-control condition. Here, the major objective is to lo
Externí odkaz:
https://doaj.org/article/eccd85b9d0aa4013a0ba0ca8fc7b1115
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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17637-17650 (2024)
The registration of synthetic aperture radar (SAR) and optical images is significant in obtaining their complementary information, which is a key prerequisite for image fusion. However, the inherent differences between the two modalities pose a chall
Externí odkaz:
https://doaj.org/article/c0584994e3f44c009699aea07bd7d960
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10842-10861 (2024)
Due to the interference of multiplicative speckles, it is challenging to accurately detect changes in polarimetric synthetic aperture radar (PolSAR) images. Convolutional neural network has been proven to learn rich local features from PolSAR data. H
Externí odkaz:
https://doaj.org/article/441926ce1f23407f9def3a482d32dcd7
Publikováno v:
IEEE Access, Vol 12, Pp 68981-68998 (2024)
Colorectal cancer (CRC) is a significant global health concern, ranking as the second most common cancer worldwide. Accurate classification of CRC is crucial for clinical practice and research. Deep learning-based methods have gained popularity in co
Externí odkaz:
https://doaj.org/article/87892b67b02448048244225d4d4feca5
Autor:
Tay Shiek Chi, Mohd Nadhir Ab Wahab, Ahmad Sufril Azlan Mohamed, Mohd Halim Mohd Noor, Khaw Beng Kang, Lim Lay Chuan, Liau Wei Jie Brigitte
Publikováno v:
IEEE Access, Vol 12, Pp 25066-25078 (2024)
Ensuring the quality and functionality of printed circuit boards (PCBs) during manufacturing requires precise, automated visual inspection. Detecting integrated circuits (ICs) on PCBs poses a significant challenge due to diverse component sizes, type
Externí odkaz:
https://doaj.org/article/d611591617664ec58d3e9420500eaafb
Publikováno v:
Remote Sensing, Vol 16, Iss 20, p 3766 (2024)
Thermal infrared cameras can image stably in complex scenes such as night, rain, snow, and dense fog. Still, humans are more sensitive to visual colors, so there is an urgent need to convert infrared images into color images in areas such as assisted
Externí odkaz:
https://doaj.org/article/c3176a325e3a413bb2d311cc5c5aaec8
Publikováno v:
Mathematics, Vol 12, Iss 17, p 2722 (2024)
In order to address the challenge of the small-scale, small-target, and complex scenes often encountered in offshore remote sensing image datasets, this paper employs an interpolation method to achieve super-resolution-assisted target detection. This
Externí odkaz:
https://doaj.org/article/860fdfdba9184347808f5f441dbb617a
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
For wearable device motion monitoring, the accuracy rate is not high, and the background is complex. The motion tracking problem can be studied deeply using deep learning methods. In this paper, we design an instance-aware feature extraction network
Externí odkaz:
https://doaj.org/article/7fe7969e74304800bd3ea0307d79c297
Publikováno v:
IEEE Access, Vol 11, Pp 32308-32318 (2023)
In deep learning based stock trading strategy models, most of the research just use simple convolutional neural networks (CNN) to process stock data. But task-specific neural network structures have been proposed extensively, and their effectiveness
Externí odkaz:
https://doaj.org/article/bbb200f6e16d4eccbab3a1854bd170df