Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Ming-liang Wei"'
Autor:
Ming-Liang Wei, 魏銘諒
106
Dopamine is an important neurotransmitter, which is responsible for the transmission of nerve cells and is also associated with many diseases of nervous system. However, the existing electrochemical sensors are not sensitive enough to detect
Dopamine is an important neurotransmitter, which is responsible for the transmission of nerve cells and is also associated with many diseases of nervous system. However, the existing electrochemical sensors are not sensitive enough to detect
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/5a247t
In Vivo Quantification of Melanin Mass Density in Humanby Using Third Harmonic Generation Microscopy
Autor:
Ming-Liang Wei, 魏銘良
103
Melasma is a common skin disease of hyperpigmentation disorder of melanin. Since the quantity and distribution of melanin are the main factors of the therapeutic decision and outcome of melasma, the quantification method of melanin is very i
Melasma is a common skin disease of hyperpigmentation disorder of melanin. Since the quantity and distribution of melanin are the main factors of the therapeutic decision and outcome of melasma, the quantification method of melanin is very i
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/41648834233734613833
Autor:
Ming-Liang Wei, Hang-Ting Lue, Shu-Yin Ho, Yen-Po Lin, Tzu-Hsuan Hsu, Chih-Chang Hsieh, Yung-Chun Li, Teng-Hao Yeh, Shih-Hung Chen, Yi-Hao Jhu, Hsiang-Pang Li, Han-Wen Hu, Chun-Hsiung Hung, Keh-Chung Wang, Chih-Yuan Lu
Publikováno v:
2022 International Electron Devices Meeting (IEDM).
Autor:
Juan Du, Yawen Zeng, Md. Siddikun Nabi Mandal, Lijuan Chen, Tao Yang, Zhiyuan Chen, Jiazhen Yang, Ming-liang Wei, Xia Li, Xiaoying Pu, Xiaomeng Yang
Publikováno v:
Cereal Research Communications. 50:357-366
Four functional component content QTLs of brown rice were detected by association mapping with a total of 309 pairs of SSR markers using the Yunnan mini-core collection and its near-isogenic lines (BC6F6) in this study. There were 52 marker loci asso
Publikováno v:
IEEE Journal of Selected Topics in Quantum Electronics. 27:1-10
Melasma, which is thought to be associated with hyperactivation of melanocytes, is a common hyperpigmentary skin disorder. To treat this skin disorder, dermatologists can benefit from in vivo information of cellular morphometrics to evaluate patholog
Autor:
Hang-Ting Lue, Chung-Hao Fu, Tzu-Hsuan Hsu, Ming-Liang Wei, Teng-Hao Yeh, Keh-Chung Wang, Chih-Yuan Lu
Publikováno v:
2022 IEEE Silicon Nanoelectronics Workshop (SNW).
Autor:
Yun-Yuan Wang, Yu-Hsuan Lin, Dai-Ying Lee, Cheng-Hsien Lu, Ming-Liang Wei, Po-Hao Tseng, Ming-Hsiu Lee, Kuang-Yeu Hsieh, Keh-Chung Wang, Chih-Yuan Lu
Publikováno v:
Japanese Journal of Applied Physics. 62:SC1085
We proposed an in-memory spin coupler based on the 55 nm NOR flash technology to tackle the combinatorial optimization problems. The high-density and cost-effective floating-gate (FG) devices can overcome the capacity limitation in the conventional a
Autor:
Cheng-Lin Sung, Chia-Lin Yang, Hussam Amrouch, Chih-Yuan Lu, Hang-Ting Lue, Ming-Liang Wei, Keh-Chung Wang
Publikováno v:
IRPS
A spiking neural network (SNN) with non-volatile memory synapses can facilitate an ideal analog approach with low power consumption for intelligent applications. However, reliability issues would arise due to the characteristics of Non-Volatile Memor
Autor:
Ming-Liang Wei, Chieh Roger Lo, Keh-Chung Wang, Chih-Yuan Lu, Teng-Hao Yeh, Cheng-Lin Sung, Pei-Ying Du, Han-Wen Hu, Wei-Chen Chen, Shu-Yin Ho, Hang-Ting Lue
Publikováno v:
2020 IEEE International Electron Devices Meeting (IEDM).
The analog neuromorphic circuits with functional memory devices are considered as an ultimate ideal approach to mimic the human brain for artificial intelligence (AI). The spiking neural network (SNN) with integrate-and-fire (IF) circuit is the class
Autor:
Hang-Ting Lue, Chieh Roger Lo, Tzu-Hsuan Hsu, Chih-Chang Hsieh, Keh-Chung Wang, Wei-Chen Chen, Pei-Ying Du, Ming-Liang Wei, Chih-Yuan Lu, Teng-Hao Yeh, Po-Kai Hsu
Publikováno v:
2020 IEEE International Memory Workshop (IMW).
Deep neural networks (DNNs) are very popular these years owing to their powerful capability in many artificial intelligence (AI) applications of classification and recognition. The computing-in-memory (CIM) is an emerging method that utilizes memory