Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Heming Yao"'
Autor:
Heming Yao, PhD, Zhichao Wu, BAppSc(Optom), PhD, Simon S. Gao, PhD, Robyn H. Guymer, MBBS, PhD, Verena Steffen, MSc, Hao Chen, PhD, Mohsen Hejrati, PhD, Miao Zhang, PhD
Publikováno v:
Ophthalmology Science, Vol 4, Iss 3, Pp 100428- (2024)
Purpose: Nascent geographic atrophy (nGA) refers to specific features seen on OCT B-scans, which are strongly associated with the future development of geographic atrophy (GA). This study sought to develop a deep learning model to screen OCT B-scans
Externí odkaz:
https://doaj.org/article/2923b293db234d3684c1e211097b8e74
Autor:
Tingting Qin, Christopher Lee, Shiting Li, Raymond G. Cavalcante, Peter Orchard, Heming Yao, Hanrui Zhang, Shuze Wang, Snehal Patil, Alan P. Boyle, Maureen A. Sartor
Publikováno v:
Genome Biology, Vol 23, Iss 1, Pp 1-30 (2022)
Abstract Background Revealing the gene targets of distal regulatory elements is challenging yet critical for interpreting regulome data. Experiment-derived enhancer-gene links are restricted to a small set of enhancers and/or cell types, while the ac
Externí odkaz:
https://doaj.org/article/3b4ff7a18c63408e970ba0ae1b45ae0f
Publikováno v:
IEEE Access, Vol 9, Pp 125384-125392 (2021)
The common rail pressure of a marine diesel engine high-pressure common rail system is typically controlled by a PID (Proportional Integral Differential) algorithm, which has problems with both overshoot and response delay. In this paper, the control
Externí odkaz:
https://doaj.org/article/d15fdd35c8e24ba59437f31f23dbdd81
Publikováno v:
IEEE Access, Vol 7, Pp 143973-143979 (2019)
In the satellite microwave power transmission (MPT) system, antenna arrays are usually adopted for a higher gain. For the passive wideband antenna array, wideband power dividers are essential when the feed network is constructed. Because the microstr
Externí odkaz:
https://doaj.org/article/2199925f6c674d2499fba19de39b9cf3
Publikováno v:
Sensors, Vol 22, Iss 13, p 4769 (2022)
This paper proposes a novel inverse method based on the deep convolutional neural network (ConvNet) to extract snow’s layer thickness and temperature via passive microwave remote sensing (PMRS). The proposed ConvNet is trained using simulated data
Externí odkaz:
https://doaj.org/article/bd04e24f15774cf9bdedcc9afd8456a8
Publikováno v:
Energies, Vol 14, Iss 17, p 5481 (2021)
In this paper, the high-pressure common rail system of the marine diesel engine is taken as case study to establish a real-time simulation model of the high-pressure common rail system that can be used as the controlled object of the control system.
Externí odkaz:
https://doaj.org/article/27373ecc54a1466d9493c7dc8a67fcb0
Autor:
Hinz, Flora I., Villegas, Carmela Louise M., Roberts, Jasmine T., Heming Yao, Gaddam, Shreya, Delwig, Anton, Green, Samantha A., Fredrickson, Craig, Adrian, Max, Asuncion, Raymond R., Cheung, Tommy K., Hayne, Margaret, Hackos, David H., Rose, Christopher M., Richmond, David, Hoogenraad, Casper C.
Publikováno v:
Journal of Neuroscience; 6/12/2024, Vol. 44 Issue 24, p1-16, 16p
Publikováno v:
Mathematical Problems in Engineering. 2022:1-20
The beetle antennae search algorithm is an effective bio-inspired algorithm. However, the algorithm is easy to fall into local optimal solution when dealing with high-dimensional and multimodal problems. An improved beetle antennae search algorithm b
Autor:
Shasha Guo, Jiecai Fu, Peikun Zhang, Chao Zhu, Heming Yao, Manzhang Xu, Boxing An, Xingli Wang, Bijun Tang, Ya Deng, Teddy Salim, Hongchu Du, Rafal E. Dunin-Borkowski, Mingquan Xu, Wu Zhou, Beng Kang Tay, Yanchao He, Mario Hofmann, Ya-Ping Hsieh, Wanlin Guo, Michael Ng, Chunlin Jia, Zhuhua Zhang, Yongmin He, Zheng Liu
Publikováno v:
Nature Synthesis 1(3), 245-253 (2022). doi:10.1038/s44160-022-00038-z
Single-metal-atom chains (SMACs), as the smallest one-dimensional structure, have intriguing physical and chemical properties. Although several SMACs have been realized so far, their controllable fabrication remains challenging due to the need to arr
Autor:
Heming Yao, Harm Derksen, Jessica R. Golbus, Justin Zhang, Keith D. Aaronson, Jonathan Gryak, Kayvan Najarian
Publikováno v:
IEEE journal of biomedical and health informatics.
A model's interpretability is essential to many practical applications such as clinical decision support systems. In this paper, a novel interpretable machine learning method is presented, which can model the relationship between input variables and