Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Geunhyeok Yu"'
Publikováno v:
IEEE Access, Vol 12, Pp 80770-80780 (2024)
The susceptibility of deep neural networks (DNNs) to adversarial examples has prompted an increase in the deployment of adversarial attacks. Image-agnostic universal adversarial perturbations (UAPs) are much more threatening, but many limitations exi
Externí odkaz:
https://doaj.org/article/6d44444686fe49619c299c24d64d7b46
Real-Time Automated Solubility Screening Method Using Deep Neural Networks with Handcrafted Features
Publikováno v:
Sensors, Vol 23, Iss 12, p 5525 (2023)
Solubility measurements are essential in various research and industrial fields. With the automation of processes, the importance of automatic and real-time solubility measurements has increased. Although end-to-end learning methods are commonly used
Externí odkaz:
https://doaj.org/article/cf5634c27f634df78be4fd34decf448d
Real-Time Automated Solubility Screening Method Using Deep Neural Networks with Handcrafted Features
Publikováno v:
Sensors; Volume 23; Issue 12; Pages: 5525
Solubility measurements are essential in various research and industrial fields. With the automation of processes, the importance of automatic and real-time solubility measurements has increased. Although end-to-end learning methods are commonly used
Publikováno v:
Bulletin of the Korean Chemical Society. 40:807-811
Autor:
Geunhyeok Yu, Woon-Seok Yeo
Publikováno v:
RSC advances. 10(30)
We report the acid-assisted photolysis of the trimethyl lock system which has long been harnessed for a variety of applications such as drug delivery, cellular imaging, enzyme activity assays, and surface patterning. By mass spectrometric analysis, w