Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Zaifeng Yang"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract The recent emerging alternative to classic numerical Fast Fourier transform (FFT) computation, based on GHz ultrasonic waves generated from and detected by piezoelectric transducers for wavefront computing (WFC), is more efficient and energy
Externí odkaz:
https://doaj.org/article/6b4dccabc6ef42419e0314c3fb64a877
Autor:
Gandhi Alagappan, Jun Rong Ong, Zaifeng Yang, Thomas Yong Long Ang, Weijiang Zhao, Yang Jiang, Wenzu Zhang, Ching Eng Png
Publikováno v:
Photonics, Vol 9, Iss 2, p 75 (2022)
Artificial intelligence (AI) techniques have been spreading in most scientific areas and have become a heated focus in photonics research in recent years. Forward modeling and inverse design using AI can achieve high efficiency and accuracy for photo
Externí odkaz:
https://doaj.org/article/0c64469118854eb7b65c82cabeedaade
Autor:
Wensong Wang, Johan Kohler, Edi Juanda, Alexandre LeBrun, Masoud Mahmoudi, Zaifeng Yang, Warintorn Thitsartarn, Jayven Chee Chuan Yeo, Siok Wei Tay, Wei-Bin Ewe, Hui Min Lee, Xianke Gao
This paper presents the electromagnetic characterization of new carbon fiber reinforced polymer (CFRP) composite applied in aircraft for tackling the lightning direct effect and enhancing the electromagnetic shielding effectiveness. The CFRP composit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf1c2100829ac621439b2c1f3468961b
https://doi.org/10.36227/techrxiv.21701348.v1
https://doi.org/10.36227/techrxiv.21701348.v1
Autor:
Zaifeng Yang, Xing Haw Marvin Tan, Viet Phuong Bui, Daniel Ssu-Han Chen, Kevin Tshun-Chuan Chai, Ching Eng Png, Amit Lal
Publikováno v:
2022 IEEE International Ultrasonics Symposium (IUS).
Publikováno v:
2022 IEEE International Ultrasonics Symposium (IUS).
Publikováno v:
Proceedings of the 6th International Conference on Digital Technology in Education.
Autor:
Zaifeng Yang, Eldwin J. Ng, Kevin Tshun-Chuan Chai, Bui Viet Phuong, Zaw Zaw Oo, Ching Eng Png, Amit Lal
Publikováno v:
2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI).
High Dynamic Range (HDR) imaging via multi-exposure fusion is an important task for most modern imaging platforms. In spite of recent developments in both hardware and algorithm innovations, challenges remain over content association ambiguities caus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aaaeb3920e6cefad9f1b75db7aa03a87
http://arxiv.org/abs/2107.06211
http://arxiv.org/abs/2107.06211
Autor:
Jieming Pan, Zaifeng Yang, Stephanie Hui Kit Yap, Xiangyu Zhang, Zefeng Xu, Yida Li, Yuxuan Luo, Evgeny Zamburg, En-Xiao Liu, Chen-Khong Tham, Aaron Voon-Yew Thean
Publikováno v:
Food Packaging and Shelf Life. 33:100919
Publikováno v:
ICASSP
In this paper, a multi-stage progressive learning strategy is investigated to train classifiers for COVID-19 Diagnosis using imbalanced Chest Computed Tomography Data acquired from patients infected with COVID-19 Pneumonia, Community Acquired Pneumon