Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Wai Khuen Cheng"'
Autor:
Zeng-Wei Hong, Ming-Hsiu Michelle Tsai, Chin Soon Ku, Wai Khuen Cheng, Jian-Tan Chen, Jim-Min Lin
Publikováno v:
Cogent Education, Vol 11, Iss 1 (2024)
AbstractAlthough the existing research on educational robots has exhibited the assistance for EFL learners’ English skills, the evidence which shows robot-assisted systems’ effect on adult learners’ English read-aloud is still rare. Nevertheles
Externí odkaz:
https://doaj.org/article/9abad83999434026bd12e1aaeb999672
Publikováno v:
IEEE Access, Vol 12, Pp 124974-124989 (2024)
This paper addresses the escalating demand for aquaculture products by proposing an edge-cloud solution for precision aquaculture. Despite technological advancements, challenges persist in the aquaculture industry, including labor shortages and inacc
Externí odkaz:
https://doaj.org/article/cd0fecfe13e94fa5946602b411dec070
Publikováno v:
Mathematics, Vol 11, Iss 3, p 698 (2023)
This paper introduces a unique perspective towards Bitcoin safe haven and hedge properties through the Bitcoin halving cycle. The Bitcoin halving cycle suggests that Bitcoin price movement follows specific sequences, and Bitcoin price movement is ind
Externí odkaz:
https://doaj.org/article/48f4f0039db5463c90465bf676974139
Publikováno v:
Mathematics, Vol 10, Iss 20, p 3888 (2022)
Past studies showed that more advanced model architectures and techniques are being developed for intelligent algorithm trading, but the input features of the models across these studies are very similar. This justifies the increasing need for new me
Externí odkaz:
https://doaj.org/article/6d6d219ab2254ef083d1bfe309fe9bd7
Publikováno v:
Sensors, Vol 22, Iss 18, p 6759 (2022)
In this new era, it is no longer impossible to create a smart home environment around the household. Moreover, users are not limited to humans but also include pets such as dogs. Dogs need long-term close companionship with their owners; however, own
Externí odkaz:
https://doaj.org/article/62041235a8ed44c7b063b48e2413bbbe
Autor:
Wai Khuen Cheng, Khean Thye Bea, Steven Mun Hong Leow, Jireh Yi-Le Chan, Zeng-Wei Hong, Yen-Lin Chen
Publikováno v:
Mathematics, Vol 10, Iss 14, p 2437 (2022)
Stock forecasting is a significant and challenging task. The recent development of web technologies has transformed the communication channel to allow the public to share information over the web such as news, social media contents, etc., thus causin
Externí odkaz:
https://doaj.org/article/3525c48944dc436b950fb9e23bcc99a1
Autor:
Jireh Yi-Le Chan, Steven Mun Hong Leow, Khean Thye Bea, Wai Khuen Cheng, Seuk Wai Phoong, Zeng-Wei Hong, Jim-Min Lin, Yen-Lin Chen
Publikováno v:
Mathematics, Vol 10, Iss 8, p 1231 (2022)
Algorithmic trading is a common topic researched in the neural network due to the abundance of data available. It is a phenomenon where an approximately linear relationship exists between two or more independent variables. It is especially prevalent
Externí odkaz:
https://doaj.org/article/cb9c7bfc6f7444b5a015137e5be84058
Autor:
Jireh Yi-Le Chan, Steven Mun Hong Leow, Khean Thye Bea, Wai Khuen Cheng, Seuk Wai Phoong, Zeng-Wei Hong, Yen-Lin Chen
Publikováno v:
Mathematics, Vol 10, Iss 8, p 1283 (2022)
Technologies have driven big data collection across many fields, such as genomics and business intelligence. This results in a significant increase in variables and data points (observations) collected and stored. Although this presents opportunities
Externí odkaz:
https://doaj.org/article/7534817927f940a092c8f566123448fc
Publikováno v:
Sensors, Vol 20, Iss 7, p 2098 (2020)
Despite advancements in the Internet of Things (IoT) and social networks, developing an intelligent service discovery and composition framework in the Social IoT (SIoT) domain remains a challenge. In the IoT, a large number of things are connected to
Externí odkaz:
https://doaj.org/article/bd36d9280038497799287beb1fdb9fff
Publikováno v:
Artificial Intelligence Review. 56:749-780
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a0e6db20c311ea61d2d13e162bfd684
https://doi.org/10.1007/s10462-022-10183-8
https://doi.org/10.1007/s10462-022-10183-8