Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Chin Chun, Ooi"'
Autor:
Ady Suwardi, Chin Chun Ooi, Dan Daniel, Chee Kiang Ivan Tan, Hongying Li, Ou Yang Zhong Liang, Yuanting Karen Tang, Jing Yee Chee, Anton Sadovoy, Shu-Ye Jiang, Srinivasan Ramachandran, Enyi Ye, Chang Wei Kang, Wun Chet Davy Cheong, Keng Hui Lim, Xian Jun Loh
Publikováno v:
Research, Vol 2021 (2021)
Small-sized droplets/aerosol transmission is one of the factors responsible for the spread of COVID-19, in addition to large droplets and surface contamination (fomites). While large droplets and surface contamination can be relatively easier to deal
Externí odkaz:
https://doaj.org/article/ea2efc5294d341119a810b096971e467
Autor:
Jung-Rok Lee, Daniel J. B. Bechstein, Chin Chun Ooi, Ashka Patel, Richard S. Gaster, Elaine Ng, Lino C. Gonzalez, Shan X. Wang
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-9 (2016)
Measurement of low-affinity protein–protein interactions is challenging; surface plasmon resonance requires high concentrations of reagents. Here the authors combine magneto-nanosensors with microfluidic chips and protein-conjugated magnetic nanopa
Externí odkaz:
https://doaj.org/article/e5190858f2fc4fbaa809b26cb3ad4f36
Publikováno v:
2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cadba89dd9e843008be597ba8d3f6aa0
https://doi.org/10.1109/icarcv57592.2022.10004290
https://doi.org/10.1109/icarcv57592.2022.10004290
Autor:
Zhong Liang Ou Yang, Yang Jiang, Jian Cheng Wong, Pao-Hsiung Chiu, Weijiang Zhao, My Ha Dao, Chin Chun Ooi
Publikováno v:
2022 IEEE Symposium Series on Computational Intelligence (SSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::506e5f99a9aad51c5abe4b49befd6b0e
https://doi.org/10.1109/ssci51031.2022.10022196
https://doi.org/10.1109/ssci51031.2022.10022196
Publikováno v:
2022 IEEE Symposium Series on Computational Intelligence (SSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86af9c6f784d9f7db0ad00cbd31f1476
https://doi.org/10.1109/ssci51031.2022.10022254
https://doi.org/10.1109/ssci51031.2022.10022254
Autor:
Shi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin Yeoh, Chin Chun Ooi
Publikováno v:
2022 IEEE International Conference on Data Mining Workshops (ICDMW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b65d03a5acff21d7dc46d61f7bbd83f9
https://doi.org/10.1109/icdmw58026.2022.00028
https://doi.org/10.1109/icdmw58026.2022.00028
Autor:
Seung-min Park, Dawson J. Wong, Chin Chun Ooi, Jared C. Nesvet, Viswam S. Nair, Shan X. Wang, Sanjiv S. Gambhir
Publikováno v:
Molecular & Cellular Oncology, Vol 4, Iss 2 (2017)
Numerous techniques for isolating circulating tumor cells (CTCs) have been developed. Concurrently, single-cell techniques that can reveal molecular components of CTCs have become widely available. We discuss how the combination of isolation and mult
Externí odkaz:
https://doaj.org/article/744a9e15af634fc88f26b0526849567c
Autor:
Chin Chun Ooi, Gary L Mantalas, Winston Koh, Norma F Neff, Teruaki Fuchigami, Dawson J Wong, Robert J Wilson, Seung-Min Park, Sanjiv S Gambhir, Stephen R Quake, Shan X Wang
Publikováno v:
PLoS ONE, Vol 12, Iss 11, p e0188510 (2017)
Single-cell characterization techniques, such as mRNA-seq, have been applied to a diverse range of applications in cancer biology, yielding great insight into mechanisms leading to therapy resistance and tumor clonality. While single-cell techniques
Externí odkaz:
https://doaj.org/article/6d5de9d2ecd34b6cbdab7cdcfad78c49
Publikováno v:
Applied Mathematical Modelling. 89:1294-1315
This paper presents complete steps for the construction and solution algorithm for a projection-based reduced order model coupled with an artificial neural net model. The reduced model is constructed based on the Galerkin projection of the equations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1e4ac46e08b436eb89045a4c79d2d85
https://doi.org/10.1016/j.apm.2020.07.023
https://doi.org/10.1016/j.apm.2020.07.023
Publikováno v:
IEEE Journal of Selected Topics in Quantum Electronics. 26:1-8
With recent rapid advances in photonic integrated circuits, it has been demonstrated that programmable photonic chips can be used to implement artificial neural networks. Convolutional neural networks (CNN) are a class of deep learning methods that h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c4340dd10584a344099872a9aea4f68
https://doi.org/10.1109/jstqe.2020.2982990
https://doi.org/10.1109/jstqe.2020.2982990