Zobrazeno 1 - 10
of 1 767
pro vyhledávání: '"CHEN, Junhong"'
Autor:
Jang, Hyun-June, Joung, Hyou-Arm, Shi, Xiaoao, Ding, Rui, Wagner, Justine, Tang, Erting, Zhuang, Wen, Ryu, Byunghoon, Chen, Guanmin, Yeo, Kiang-Teck Jerry, Huang, Jun, Chen, Junhong
To meet the growing demand for accurate, rapid, and cost-effective at-home clinical testing, we developed a radical-mediated enzyme assay (REEA) integrated with a paper fluidic system and electrically read by a handheld field-effect transistor (FET)
Externí odkaz:
http://arxiv.org/abs/2411.03111
Traditional transistors based on complementary metal-oxide-semiconductor (CMOS) and metal-oxide-semiconductor field-effect transistors (MOSFETs) are facing significant limitations as device scaling reaches the limits of Moore's Law. These limitations
Externí odkaz:
http://arxiv.org/abs/2409.18965
Due to the visual properties of reflection and refraction, RGB-D cameras cannot accurately capture the depth of transparent objects, leading to incomplete depth maps. To fill in the missing points, recent studies tend to explore new visual features a
Externí odkaz:
http://arxiv.org/abs/2408.00337
Autor:
Ding, Rui, Liu, Jianguo, Hua, Kang, Wang, Xuebin, Zhang, Xiaoben, Shao, Minhua, Chen, Yuxin, Chen, Junhong
Developing advanced catalysts for acidic oxygen evolution reaction (OER) is crucial for sustainable hydrogen production. This study introduces a novel, multi-stage machine learning (ML) approach to streamline the discovery and optimization of complex
Externí odkaz:
http://arxiv.org/abs/2407.04877
Accurate prediction of drug molecule solubility is crucial for therapeutic effectiveness and safety. Traditional methods often miss complex molecular structures, leading to inaccuracies. We introduce the YZS-Model, a deep learning framework integrati
Externí odkaz:
http://arxiv.org/abs/2406.19136
Autor:
Jang, Hyun-June, Joung, Hyou-Arm, Goncharov, Artem, Kanegusuku, Anastasia Gant, Chan, Clarence W., Yeo, Kiang-Teck Jerry, Zhuang, Wen, Ozcan, Aydogan, Chen, Junhong
This study explores the fusion of a field-effect transistor (FET), a paper-based analytical cartridge, and the computational power of deep learning (DL) for quantitative biosensing via kinetic analyses. The FET sensors address the low sensitivity cha
Externí odkaz:
http://arxiv.org/abs/2402.17209
Autor:
Lo, Frank P. -W., Qiu, Jianing, Wang, Zeyu, Chen, Junhong, Xiao, Bo, Yuan, Wu, Giannarou, Stamatia, Frost, Gary, Lo, Benny
Conventional approaches to dietary assessment are primarily grounded in self-reporting methods or structured interviews conducted under the supervision of dietitians. These methods, however, are often subjective, potentially inaccurate, and time-inte
Externí odkaz:
http://arxiv.org/abs/2312.08592
Autor:
Wang, Meng, Lin, Tian, Wang, Lianyu, Lin, Aidi, Zou, Ke, Xu, Xinxing, Zhou, Yi, Peng, Yuanyuan, Meng, Qingquan, Qian, Yiming, Deng, Guoyao, Wu, Zhiqun, Chen, Junhong, Lin, Jianhong, Zhang, Mingzhi, Zhu, Weifang, Zhang, Changqing, Zhang, Daoqiang, Goh, Rick Siow Mong, Liu, Yong, Pang, Chi Pui, Chen, Xinjian, Chen, Haoyu, Fu, Huazhu
Failure to recognize samples from the classes unseen during training is a major limitation of artificial intelligence in the real-world implementation for recognition and classification of retinal anomalies. We established an uncertainty-inspired ope
Externí odkaz:
http://arxiv.org/abs/2304.03981
Autor:
Liao, Xinlong, Huang, Zhiwei ⁎, Tian, Mingshuo, Gong, Juanjuan, Ni, Jiangwei, Zhou, Qiqi, Chen, Wen, Gan, Shuangning, Chen, Junhong, Chen, Jia, Shen, Huazhen, Wu, Xiaomin, Zhao, Huawang, Jing, Guohua
Publikováno v:
In Chemical Engineering Journal 1 January 2025 503
