Zobrazeno 1 - 10
of 1 103
pro vyhledávání: '"Chun Wei Lin"'
Autor:
Chu-Chun Cheng, Ruei-Fong Tsai, Che-Kai Lin, Kui-Thong Tan, Vidmantas Kalendra, Mantas Simenas, Chun-Wei Lin, Yun-Wei Chiang
Publikováno v:
JACS Au, Vol 4, Iss 10, Pp 3766-3770 (2024)
Externí odkaz:
https://doaj.org/article/ddcf4b67e7774cac93e7d6be8502c27b
Publikováno v:
International Journal of Economics and Financial Issues, Vol 14, Iss 5 (2024)
This article explores the integration of the Triple Bottom Line concept in Smart Product Service Systems (S-PSS) within the banking industry. It emphasizes the importance of balancing economic, social, and environmental factors for sustainable develo
Externí odkaz:
https://doaj.org/article/5aff6d652bd04f158c75ff6cac1cb795
Publikováno v:
Case Studies in Construction Materials, Vol 20, Iss , Pp e03183- (2024)
Accurate identification of the backbone curves of reinforced concrete (RC) columns is key to engineering design and strengthening renovation. In view of the problems of high cost, long time, low accuracy, large dispersion of calculation results and d
Externí odkaz:
https://doaj.org/article/53b86bc191b5417ab7cf9284944f6446
Publikováno v:
In Expert Systems With Applications 15 November 2024 254
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 1, Pp 190-204 (2024)
A network intrusion detection system is critical for cyber security against illegitimate attacks. In terms of feature perspectives, network traffic may include a variety of elements such as attack reference, attack type, a sub-category of attack, hos
Externí odkaz:
https://doaj.org/article/681619a5c22542a5b37dc71aa4e38f2b
Autor:
Ming Hui Wen, Jerry Chun-Wei Lin
Publikováno v:
IEEE Access, Vol 12, Pp 178997-179009 (2024)
In the era of generative artificial intelligence (GAI), preserving personal authenticity is crucial for maintaining trust in online communities. Blockchain technology, with its unique blend of anonymity and data transparency, has facilitated the deve
Externí odkaz:
https://doaj.org/article/f6bd38a845ea4d3eab9bd8d732337295
Autor:
Chanhee Lee, Hanju Kim, Myungha Cho, Hyeonmo Kim, Bay Vo, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Unil Yun
Publikováno v:
IEEE Access, Vol 12, Pp 77605-77620 (2024)
Top-k high utility pattern mining, which extracts the highest top-k patterns that the users want to find, has been actively studied. Most previous studies in this domain have focused on static databases, where data insertions do not occur. In the rea
Externí odkaz:
https://doaj.org/article/66c5b83abdfc45da983e03d51dfa964e
Publikováno v:
Data in Brief, Vol 54, Iss , Pp 110458- (2024)
This paper presents a dataset comprising 700 video sequences encoded in the two most popular video formats (codecs) of today, H.264 and H.265 (HEVC). Six reference sequences were encoded under different quality profiles, including several bitrates an
Externí odkaz:
https://doaj.org/article/9acb0b3f5c2942a1b2be222f6bd39b9b
Autor:
Kim, Hyeonmo, Kim, Hanju, Cho, Myungha, Vo, Bay, Chun-Wei Lin, Jerry, Fujita, Hamido, Yun, Unil
Publikováno v:
In Information Sciences February 2024 657
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 8, Iss 2, Pp 331-342 (2023)
Abstract Due to strong learning ability, convolutional neural networks (CNNs) have been developed in image denoising. However, convolutional operations may change original distributions of noise in corrupted images, which may increase training diffic
Externí odkaz:
https://doaj.org/article/3516223f77284cbc8aa2f1d5b2715c5f