Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Yan-ting Liu"'
Autor:
Yan-ting Liu, Ya-wen Wang, Chen Tu, Jian-wen Ren, Jia Huo, Xiao-juan Nan, Jia-hao Dou, Zi-he Peng, Wei-hui Zeng
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract There are numerous differences between adult acne and adolescent acne in terms of causes, distribution, and characteristics of skin lesions, as well as treatment. This paper aims to summarize the differences between adult and adolescent acne
Externí odkaz:
https://doaj.org/article/34e101cbb3314976b7c3036638a68674
Publikováno v:
NPG Asia Materials, Vol 16, Iss 1, Pp 1-10 (2024)
Abstract The discovery of efficient magnetization switching upon device activation by spin Hall effect (SHE)-induced spin–orbit torque (SOT) changed the course of magnetic random-access memory (MRAM) research and development. However, for electroni
Externí odkaz:
https://doaj.org/article/23ee7870d7c74ac286de7ab8e1a3ac1d
Autor:
Shih-Che Kao, Chun-Yi Lin, Wei-Bang Liao, Po-Chuan Wang, Chen-Yu Hu, Yu-Hao Huang, Yan-Ting Liu, Chi-Feng Pai
Publikováno v:
APL Materials, Vol 11, Iss 11, Pp 111104-111104-8 (2023)
To make spin–orbit torque magnetic random access memory (SOT-MRAM) practical, current-induced magnetization switching without an external bias field is essential. Given that the CoFeB/MgO structure has already been used in typical spin-transfer tor
Externí odkaz:
https://doaj.org/article/45d409b6b9374538af2f6be0cdd41aac
Publikováno v:
Vietnam Journal of Computer Science, Vol 09, Iss 03, Pp 333-348 (2022)
Recently, it was shown that convolutional neural networks (CNNs) with suitably annotated training data and results produce the best traffic sign detection (TSD) and recognition (TSR). The whole system’s efficiency is determined by the data collecti
Externí odkaz:
https://doaj.org/article/be1ce1442c8f458aa9aae36ca3996e37
Publikováno v:
IEEE Access, Vol 9, Pp 97228-97242 (2021)
Convolutional Neural Networks (CNN) achieves perfection in traffic sign identification with enough annotated training data. The dataset determines the quality of the complete visual system based on CNN. Unfortunately, databases for traffic signs from
Externí odkaz:
https://doaj.org/article/6e06fd041ba3447ba0f362c016134c31
Publikováno v:
Applied Sciences, Vol 11, Iss 7, p 2913 (2021)
A synthetic image is a critical issue for computer vision. Traffic sign images synthesized from standard models are commonly used to build computer recognition algorithms for acquiring more knowledge on various and low-cost research issues. Convoluti
Externí odkaz:
https://doaj.org/article/9977ba4e7a414385bde0a8772f75bc85
Publikováno v:
Agronomy, Vol 11, Iss 1, p 82 (2021)
Taiwanese quinoa (Chenopodium formosanum Koidz, commonly known as djulis) is a close relative of quinoa, is rich in nutritional value and high active components, such as, betaine and polyphenols, and is a vital food crop. We investigated the effects
Externí odkaz:
https://doaj.org/article/d16fc5b811914d528e62c83756183ecb
Publikováno v:
Applied Sciences, Vol 10, Iss 19, p 6997 (2020)
In the area of traffic sign detection (TSD) methods, deep learning has been implemented and achieves outstanding performance. The detection of a traffic sign, as it has a dual function in monitoring and directing the driver, is a big concern for driv
Externí odkaz:
https://doaj.org/article/6d8225664f104187937b5aa7ea6a6333
Autor:
Yan-Ting Liu, 劉彥廷
106
In recent years, the society has attached great importance to the issue of environmental pollution. The traditional monitoring mode of water quality requires water body of manually, periodically and fixed-located data collected and sent to t
In recent years, the society has attached great importance to the issue of environmental pollution. The traditional monitoring mode of water quality requires water body of manually, periodically and fixed-located data collected and sent to t
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/vebgz6
Autor:
Yan-Ting Liu, 劉彥廷
105
Nowadays, with the rapid development of industry and commerce, many pollutants enter the river due to improper discharge, which has caused serious pollution of rvier sediment. The most common contaminants of sediment are heavy metals. Excess
Nowadays, with the rapid development of industry and commerce, many pollutants enter the river due to improper discharge, which has caused serious pollution of rvier sediment. The most common contaminants of sediment are heavy metals. Excess
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/57393573898572003744