Zobrazeno 1 - 10
of 1 083
pro vyhledávání: '"Hu, Hu"'
In this work, we aim to establish a Bayesian adaptive learning framework by focusing on estimating latent variables in deep neural network (DNN) models. Latent variables indeed encode both transferable distributional information and structural relati
Externí odkaz:
http://arxiv.org/abs/2401.13766
Publikováno v:
Journal of Materials Research and Technology, Vol 33, Iss , Pp 5170-5192 (2024)
This study reveals the mechanisms by which efficiency parameters affect surface quality, mechanical properties, and configuration offset in incremental sheet forming (ISF), focusing on surface morphology and microstructural evolution. By constructing
Externí odkaz:
https://doaj.org/article/08775fd2d250427ea0be3d6d6d51a821
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 10, Pp 2678-2689 (2024)
Graph anomaly detection has practical applications in various fields, such as cyber security, financial evaluation and medical care. Recently, contrastive-based and generative-based detection frameworks have achieved remarkable performance improvemen
Externí odkaz:
https://doaj.org/article/a7683f9bc30f4ef3bc6838afb1ea6b9f
Autor:
Tian, Kaibin, Zhao, Ruixiang, Hu, Hu, Xie, Runquan, Lian, Fengzong, Kang, Zhanhui, Li, Xirong
For text-to-video retrieval (T2VR), which aims to retrieve unlabeled videos by ad-hoc textual queries, CLIP-based methods are dominating. Compared to CLIP4Clip which is efficient and compact, the state-of-the-art models tend to compute video-text sim
Externí odkaz:
http://arxiv.org/abs/2308.01217
Autor:
Li-Ping Zhao, Hao-Jie Wang, Die Hu, Jun-Hu Hu, Zheng-Rong Guan, Li-Hua Yu, Ya-Ping Jiang, Xiao-Qi Tang, Zhao-Huang Zhou, Tian Xie, Jian-Shu Lou
Publikováno v:
Journal of Advanced Research, Vol 62, Iss , Pp 257-272 (2024)
Introduction: β-Elemene (β-ELE), derived from Curcuma wenyujin, has anticancer effect on non-small cell lung cancer (NSCLC). However, the potential target and detail mechanism were still not clear. TFEB is the master regulator of lysosome biogenesi
Externí odkaz:
https://doaj.org/article/6f41ae41c6de4938ab8e6923be52beb5
Publikováno v:
Food Frontiers, Vol 5, Iss 4, Pp 1749-1764 (2024)
Abstract Salmonella Enteritidis is a foodborne enteric pathogen that infects humans and animals, and bacterial small RNAs (sRNAs) have been found to play critical roles in the virulence of Salmonella. However, the specific mechanism by which sRNAs co
Externí odkaz:
https://doaj.org/article/9d90fc31149c4fad90f06b74ba5d7730
Autor:
Navdeep Singh, Xiao-Hu Hu, Vikash Kumar, Manoj Kumar Solanki, Amit Kaushik, Vipin Kumar Singh, Sandeep Kumar Singh, Priya Yadav, Rahul Prasad Singh, Nikunj Bhardwaj, Zhen Wang, Ajay Kumar
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)
The natural environment is often contaminated with hydrophobic pollutants such as long-chain hydrocarbons, petrochemicals, oil spills, pesticides, and heavy metals. Hydrophobic pollutants with a toxic nature, slow degradation rates, and low solubilit
Externí odkaz:
https://doaj.org/article/6f552bcd1d384e2a806d191d9f8f7342
Autor:
Vipin Kumar Singh, Xiao-Hu Hu, Amit Kishore Singh, Manoj Kumar Solanki, Pooja Vijayaraghavan, Rajpal Srivastav, Naveen Kumar Joshi, Madhuree Kumari, Sandeep Kumar Singh, Zhen Wang, Ajay Kumar
Publikováno v:
Frontiers in Nutrition, Vol 11 (2024)
Currently, the treatment of various human ailments is based on different therapeutic approaches including traditional and modern medicine systems. Precision nutrition has come into existence as an emerging approach considering the diverse aspects suc
Externí odkaz:
https://doaj.org/article/2e420fe20db64e22950d3ad50c175249
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 53, Iss , Pp 101758- (2024)
Study region: The Three Gorges cascade (TGC) reservoirs, China. Study focus: Since uncertainties inherent in inflow forecasting, elevation-storage, discharge capacity, flood routing, and the preferences of decision makers (DMs) persist in the attribu
Externí odkaz:
https://doaj.org/article/c8a42bc5117943e58695e29b131aa0b5
Autor:
Wang, Qing, Du, Jun, Zheng, Siyuan, Li, Yunqing, Wang, Yajian, Wu, Yuzhong, Hu, Hu, Yang, Chao-Han Huck, Siniscalchi, Sabato Marco, Wang, Yannan, Lee, Chin-Hui
In this paper, we propose two techniques, namely joint modeling and data augmentation, to improve system performances for audio-visual scene classification (AVSC). We employ pre-trained networks trained only on image data sets to extract video embedd
Externí odkaz:
http://arxiv.org/abs/2203.04114