Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Kunlin Liu"'
Publikováno v:
Sensors, Vol 24, Iss 15, p 4771 (2024)
In order to achieve the non-destructive testing and quality evaluation of stainless-steel resistance spot welding (RSW) joints, a portable ultrasonic spiral C-scan testing instrument was developed based on the principle of ultrasonic pulse reflection
Externí odkaz:
https://doaj.org/article/f39c3bb0d42c4381b27bd063ac5b5e1f
Autor:
Yongxi Liang, Delin Min, Hulin Fan, Kunlin Liu, Juchuanli Tu, Xueyan He, Bingjie Liu, Lu Zhou, Suling Liu, Xun Sun
Publikováno v:
Acta Pharmaceutica Sinica B, Vol 13, Iss 4, Pp 1686-1698 (2023)
Triple-negative breast cancer (TNBC) is a nasty disease with extremely high malignancy and poor prognosis. Annexin A3 (ANXA3) is a potential prognosis biomarker, displaying an excellent correlation of ANXA3 overexpression with patients' poor prognosi
Externí odkaz:
https://doaj.org/article/bcab8c808f27476ba2abaeeab4a49504
Autor:
Xiaochen Sun, Shuyue Wang, Huagang Sheng, Xiyu Lv, Jingna Li, Bing Han, Shuai Wang, Kunlin Liu, Chao Zhang, Wenhuan Zhang, Fei Guo
Publikováno v:
Biomedicine & Pharmacotherapy, Vol 165, Iss , Pp 115160- (2023)
Essential hypertension (EH) is a leading cause of cardiovascular morbidity and mortality. Fructus Tribuli (FT), as a traditional medicine, has been frequently used for thousands of years. The crude Fructus Tribuli (CFT), decoction pieces being proces
Externí odkaz:
https://doaj.org/article/a0a8fde30db24e6e928801e896df0d4d
Publikováno v:
Journal of Imaging, Vol 10, Iss 1, p 21 (2024)
Face swapping is an intriguing and intricate task in the field of computer vision. Currently, most mainstream face swapping methods employ face recognition models to extract identity features and inject them into the generation process. Nonetheless,
Externí odkaz:
https://doaj.org/article/86448f7d824c4a3097f15ea4e082c77d
Publikováno v:
Results in Chemistry, Vol 4, Iss , Pp 100299- (2022)
Deep eutectic solvents (DESs) are a recently developed class of green, efficient, and versatile alternatives to traditional organic solvents in natural product extractions. Inspired by the emergence of natural DESs and their green nature, we herein o
Externí odkaz:
https://doaj.org/article/87f2d95f7f5c4ef3aa0f6a9e429ddb9b
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80d4054f0b89d2f056c19ad897fde046
https://doi.org/10.1109/jstsp.2023.3273781
https://doi.org/10.1109/jstsp.2023.3273781
Autor:
Kunlin Liu, Ping Wang, Wenbo Zhou, Zhenyu Zhang, Yanhao Ge, Honggu Liu, Weiming Zhang, Nenghai Yu
Publikováno v:
Future Internet, Vol 13, Iss 11, p 298 (2021)
Deepfake aims to swap a face of an image with someone else’s likeness in a reasonable manner. Existing methods usually perform deepfake frame by frame, thus ignoring video consistency and producing incoherent results. To address such a problem, we
Externí odkaz:
https://doaj.org/article/d8d1184174db460b8c87817c4d6c0d8f
Publikováno v:
Journal of Energy Chemistry. 59:220-228
Lithium-sulfur (Li-S) batteries are hampered by the infamous shuttle effect and slow redox kinetics, resulting in rapid capacity decay. Herein, a bifunctional catalysis CoB/BN@rGO with integrated structure and synergy effect between adsorption and ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93faa723f59e5d6a79c0078604ba8289
https://doi.org/10.1016/j.jechem.2020.11.015
https://doi.org/10.1016/j.jechem.2020.11.015
Autor:
Huanyu Bian, Weiming Zhang, Hang Zhou, Nenghai Yu, Wenbo Zhou, Hao Cui, Kunlin Liu, Dongdong Chen
Publikováno v:
Information Sciences. 569:287-301
Adversarial examples can easily fool existing powerful deep neural networks. However, we find that the attack ability of most existing adversarial attack methods is significantly degraded once the generated adversarial examples are shown on screen de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06ea1f2b432c470f71235459ae76907d
https://doi.org/10.1016/j.ins.2021.04.005
https://doi.org/10.1016/j.ins.2021.04.005