Zobrazeno 1 - 10
of 290
pro vyhledávání: '"CAO Yuxin"'
Publikováno v:
Shipin yu jixie, Vol 40, Iss 2, Pp 184-191 (2024)
Objective: This study aimed to improve the functional characteristics of Polygonati rhizoma (PR). Methods: Using the freeze-dried fresh PR and nine-steam-nine-bask processing PR as control products, the study comprehensively compared and analyzed
Externí odkaz:
https://doaj.org/article/4fae8c6024364997af51f5a15d5fba1f
Publikováno v:
Shipin Kexue, Vol 45, Iss 1, Pp 301-312 (2024)
Neurodegenerative diseases are often characterized by progressive dysfunction and loss of neuronal structure and function, including Alzheimer’s disease, Parkinson’s disease, Huntington’s disease. Mitochondria, the center of energy metabolism i
Externí odkaz:
https://doaj.org/article/31a3aec60fd1401096d6f167407d2e20
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 40, Iss 1, Pp 175-181 (2022)
The problem of crack propagation in reinforced concrete beams is common in practical engineering. It is very important to correctly describe the law of crack propagation, the mechanism of fracture failure and the internal stress and deformation chara
Externí odkaz:
https://doaj.org/article/f98d7d4f9f694ee1b400fe82c395a161
Video classification systems based on Deep Neural Networks (DNNs) have demonstrated excellent performance in accurately verifying video content. However, recent studies have shown that DNNs are highly vulnerable to adversarial examples. Therefore, a
Externí odkaz:
http://arxiv.org/abs/2408.12099
Previous works have shown that reducing parameter overhead and computations for transformer-based single image super-resolution (SISR) models (e.g., SwinIR) usually leads to a reduction of performance. In this paper, we present GRFormer, an efficient
Externí odkaz:
http://arxiv.org/abs/2408.07484
Face recognition pipelines have been widely deployed in various mission-critical systems in trust, equitable and responsible AI applications. However, the emergence of adversarial attacks has threatened the security of the entire recognition pipeline
Externí odkaz:
http://arxiv.org/abs/2407.08514
Randomized Smoothing (RS) is currently a scalable certified defense method providing robustness certification against adversarial examples. Although significant progress has been achieved in providing defenses against $\ell_p$ adversaries, the intera
Externí odkaz:
http://arxiv.org/abs/2406.02309
In light of the widespread application of Automatic Speech Recognition (ASR) systems, their security concerns have received much more attention than ever before, primarily due to the susceptibility of Deep Neural Networks. Previous studies have illus
Externí odkaz:
http://arxiv.org/abs/2405.09470
Multimodal Large Language Models (MLLMs) demonstrate remarkable capabilities that increasingly influence various aspects of our daily lives, constantly defining the new boundary of Artificial General Intelligence (AGI). Image modalities, enriched wit
Externí odkaz:
http://arxiv.org/abs/2404.05264
Previous work has shown that well-crafted adversarial perturbations can threaten the security of video recognition systems. Attackers can invade such models with a low query budget when the perturbations are semantic-invariant, such as StyleFool. Des
Externí odkaz:
http://arxiv.org/abs/2403.11656