Zobrazeno 1 - 10
of 1 011
pro vyhledávání: '"Zhao Zeyu"'
Postconditioning with D-limonene exerts neuroprotection in rats via enhancing mitochondrial activity
Publikováno v:
Türk Biyokimya Dergisi, Vol 48, Iss 6, Pp 682-689 (2023)
The key component of neuroprotection after cerebral ischemia–reperfusion (I–R) injury is mitochondrial improvement. By focusing on the function of mitochondrial biogenesis and ATP-sensitive potassium (mK–ATP) channels and inflammatory responses
Externí odkaz:
https://doaj.org/article/8dd620c85cd74251b41bb5b3e4f787af
Publikováno v:
Nanophotonics, Vol 11, Iss 20, Pp 4465-4478 (2022)
A data enhanced iterative few-sample (DEIFS) algorithm is proposed to achieve the accurate and efficient inverse design of multi-shaped 2D chiral metamaterials. Specifically, three categories of 2D diffractive chiral structures with different geometr
Externí odkaz:
https://doaj.org/article/274bc845861242408888be2feb64a70f
Emotion recognition from speech and music shares similarities due to their acoustic overlap, which has led to interest in transferring knowledge between these domains. However, the shared acoustic cues between speech and music, particularly those enc
Externí odkaz:
http://arxiv.org/abs/2409.17899
Autor:
Ravanelli, Mirco, Parcollet, Titouan, Moumen, Adel, de Langen, Sylvain, Subakan, Cem, Plantinga, Peter, Wang, Yingzhi, Mousavi, Pooneh, Della Libera, Luca, Ploujnikov, Artem, Paissan, Francesco, Borra, Davide, Zaiem, Salah, Zhao, Zeyu, Zhang, Shucong, Karakasidis, Georgios, Yeh, Sung-Lin, Champion, Pierre, Rouhe, Aku, Braun, Rudolf, Mai, Florian, Zuluaga-Gomez, Juan, Mousavi, Seyed Mahed, Nautsch, Andreas, Liu, Xuechen, Sagar, Sangeet, Duret, Jarod, Mdhaffar, Salima, Laperriere, Gaelle, Rouvier, Mickael, De Mori, Renato, Esteve, Yannick
SpeechBrain is an open-source Conversational AI toolkit based on PyTorch, focused particularly on speech processing tasks such as speech recognition, speech enhancement, speaker recognition, text-to-speech, and much more. It promotes transparency and
Externí odkaz:
http://arxiv.org/abs/2407.00463
Diffusion models have shown great success in generating high-quality co-speech gestures for interactive humanoid robots or digital avatars from noisy input with the speech audio or text as conditions. However, they rarely focus on providing rich edit
Externí odkaz:
http://arxiv.org/abs/2404.02411
In Speech Emotion Recognition (SER), textual data is often used alongside audio signals to address their inherent variability. However, the reliance on human annotated text in most research hinders the development of practical SER systems. To overcom
Externí odkaz:
http://arxiv.org/abs/2305.16065
Publikováno v:
IEEE Robotics and Automation Letters 9 (2024) 3
Gesture synthesis has gained significant attention as a critical research field, aiming to produce contextually appropriate and natural gestures corresponding to speech or textual input. Although deep learning-based approaches have achieved remarkabl
Externí odkaz:
http://arxiv.org/abs/2303.13013
Autor:
Hao, Jin, Liu, Jiaxiang, Li, Jin, Pan, Wei, Chen, Ruizhe, Xiong, Huimin, Sun, Kaiwei, Lin, Hangzheng, Liu, Wanlu, Ding, Wanghui, Yang, Jianfei, Hu, Haoji, Zhang, Yueling, Feng, Yang, Zhao, Zeyu, Wu, Huikai, Zheng, Youyi, Fang, Bing, Liu, Zuozhu, Zhao, Zhihe
A critical step in virtual dental treatment planning is to accurately delineate all tooth-bone structures from CBCT with high fidelity and accurate anatomical information. Previous studies have established several methods for CBCT segmentation using
Externí odkaz:
http://arxiv.org/abs/2203.05784
Publikováno v:
In Ceramics International 15 October 2024 50(20) Part A:37726-37731
Autor:
Ye, Ningyao, Zhao, Zeyu
Publikováno v:
In Computer Law & Security Review: The International Journal of Technology Law and Practice September 2024 54