Zobrazeno 1 - 10
of 657
pro vyhledávání: '"Jerry Chun‐Wei Lin"'
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
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:
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:
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:
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
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 5, Pp 8975-9002 (2023)
Rainfall prediction includes forecasting the occurrence of rainfall and projecting the amount of rainfall over the modeled area. Rainfall is the result of various natural phenomena such as temperature, humidity, atmospheric pressure, and wind directi
Externí odkaz:
https://doaj.org/article/1984eb02db604f779e6b2a00054d1a1b
Autor:
Shitharth Selvarajan, Gautam Srivastava, Alaa O. Khadidos, Adil O. Khadidos, Mohamed Baza, Ali Alshehri, Jerry Chun-Wei Lin
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-17 (2023)
Abstract The Industrial Internet of Things (IIoT) promises to deliver innovative business models across multiple domains by providing ubiquitous connectivity, intelligent data, predictive analytics, and decision-making systems for improved market per
Externí odkaz:
https://doaj.org/article/f5da395c02194340803ab88692440cef
Publikováno v:
Complex System Modeling and Simulation, Vol 3, Iss 1, Pp 47-58 (2023)
High-utility itemset mining (HUIM) can consider not only the profit factor but also the profitable factor, which is an essential task in data mining. However, most HUIM algorithms are mainly developed on a single machine, which is inefficient for big
Externí odkaz:
https://doaj.org/article/84ca665cffd040a18c8753972d8f18a5
Autor:
Rahul Saxena, Spandan Pankaj Patil, Atul Kumar Verma, Mahipal Jadeja, Pranshu Vyas, Vikrant Bhateja, Jerry Chun-Wei Lin
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 8, Iss 1, Pp 38-52 (2023)
The task of determining whether or not a link will exist between two entities, given the current position of the network, is called link prediction. The study of predicting and analyzing links between entities in a network is emerging as one of the m
Externí odkaz:
https://doaj.org/article/df1fa5aecfc24aae9d77b24cbf231135
Publikováno v:
IEEE Access, Vol 11, Pp 43140-43158 (2023)
High utility pattern mining has been proposed to improve the traditional support-based pattern mining methods that process binary databases. High utility patterns are discovered by effectively considering the quantity and importance of items. Recentl
Externí odkaz:
https://doaj.org/article/1c26399b0ca547f7adb1f90bfc7e3f5b