Zobrazeno 1 - 10
of 444
pro vyhledávání: '"channel-wise"'
Publikováno v:
IEEE Access, Vol 12, Pp 86391-86402 (2024)
While human brains have the ability to distinguish face characteristics, the use of advanced technology and artificial intelligence blurs the difference between actual and modified images. The evolution of digital editing applications has led to the
Externí odkaz:
https://doaj.org/article/11e4b613953548bb96df31c667a58470
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8587 (2024)
Insulators are essential for electrical insulation and structural support in transmission lines. With the advancement of deep learning, object detection algorithms have become primary tools for detecting insulator defects. However, challenges such as
Externí odkaz:
https://doaj.org/article/c839f60f8b4747ebac6a58ec592bad9b
Autor:
Jiang Wu
Publikováno v:
Mathematics, Vol 12, Iss 18, p 2824 (2024)
Seismic impedance inversion is essential for providing high-resolution stratigraphic analysis. Therefore, improving the accuracy while ensuring the efficiency of the inversion model is crucial for practical implementation. Recently, deep learning-bas
Externí odkaz:
https://doaj.org/article/d6c165aed597411583432ea5c417c32b
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
With the development of deep learning, synthetic aperture radar (SAR) ship detection and recognition based on deep learning have gained widespread application and advancement. However, there are still challenging issues, manifesting in two primary fa
Externí odkaz:
https://doaj.org/article/ba12be92500e488a8ce4323758a77d11
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4238 (2024)
The use of deep convolutional neural networks has significantly improved the performance of super-resolution. Employing deeper networks to enhance the non-linear mapping capability from low-resolution (LR) to high-resolution (HR) images has inadverte
Externí odkaz:
https://doaj.org/article/8bd8a278be854a1b923e2cd69de12c1b
Publikováno v:
Sensors, Vol 24, Iss 9, p 2954 (2024)
Deep neural networks (DNNs) are increasingly important in the medical diagnosis of electrocardiogram (ECG) signals. However, research has shown that DNNs are highly vulnerable to adversarial examples, which can be created by carefully crafted perturb
Externí odkaz:
https://doaj.org/article/e2843075eb93495c963d075565900924
Autor:
Jun Zhang, Yizhen Meng, Xiaohui Yu, Hongjing Bi, Zhipeng Chen, Huafeng Li, Runtao Yang, Jingjun Tian
Publikováno v:
IEEE Access, Vol 11, Pp 78384-78401 (2023)
Current target detection methods have achieved high accuracy for detecting large and medium-sized targets. However, due to factors such as the small number of pixels and features available for targets in images, the detection performance for small ta
Externí odkaz:
https://doaj.org/article/7a479d1beb48400e86274e699d78603e
Publikováno v:
Journal of Applied Engineering and Technological Science, Vol 4, Iss 2 (2023)
with the help of effective DL(Deep Learning) based algorithms. Though several clinical procedures and imaging modalities exists to diagnose Covid-19, these methods are time-consuming processes and sometimes the predictions are incorrect. Concurrently
Externí odkaz:
https://doaj.org/article/fc0bc3b547bd48f692b791dd0aa438e0
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.