Zobrazeno 1 - 10
of 161
pro vyhledávání: '"Eric Pardede"'
Publikováno v:
IEEE Access, Vol 12, Pp 21129-21146 (2024)
As machine learning models are increasingly applied to real-world scenarios, it is essential to consider the possibility of changes in the data distribution over time. Concept drift detection and adaptation refers to the process of identifying and tr
Externí odkaz:
https://doaj.org/article/33e86f4fd1d847d38392d9a09747badd
Publikováno v:
Computers, Vol 13, Iss 7, p 175 (2024)
Nowadays, ubiquitous technology makes life easier, especially devices that use the internet (IoT). IoT devices have been used to generate data in various domains, including healthcare, industry, and education. However, there are often problems with t
Externí odkaz:
https://doaj.org/article/58dd67e7e19c4d10aaab3ef115d309c3
Publikováno v:
IEEE Access, Vol 11, Pp 130072-130088 (2023)
This study aims to investigate the potential of educational data mining (EDM) in addressing the issue of delayed completion in undergraduate student thesis courses. Delayed completion of these courses is a common issue that affects both students and
Externí odkaz:
https://doaj.org/article/45b7ce8bba304d18ac8ace3211bda5f0
Publikováno v:
Computers, Vol 13, Iss 1, p 28 (2024)
The requirement to develop a smart education system is critical in the era of ubiquitous technology. In the smart education environment, intelligent pedagogies are constructed to take advantage of technological devices and foster learners’ competen
Externí odkaz:
https://doaj.org/article/464178d7c64b4148a31fcd9eed31e570
Publikováno v:
IEEE Access, Vol 10, Pp 117530-117543 (2022)
During the onset of COVID-19 pandemic, the social media was flooded with misinformation. Irrespective of the type of the misinformation, such contents played a significant role in increasing confusion among people in the middle of an ongoing crisis.
Externí odkaz:
https://doaj.org/article/dcd9589823ef416489fa440e48442bab
Publikováno v:
IEEE Access, Vol 10, Pp 82776-82787 (2022)
The purpose of this study is to investigate the effects of contextual features on automatic detection accuracy of online recruitment frauds in Australian job market. In addition, the study aims to unearth the significance of localisation of such appr
Externí odkaz:
https://doaj.org/article/0c7600e1cb314634ae717caacc6cabc8
Publikováno v:
Entropy, Vol 25, Iss 8, p 1144 (2023)
This study examined whether the behaviour of Internet search users obtained from Google Trends contributes to the forecasting of two Australian macroeconomic indicators: monthly unemployment rate and monthly number of short-term visitors. We assessed
Externí odkaz:
https://doaj.org/article/b0e5550768b04c0eba1dba84f82dc672
Publikováno v:
Technologies, Vol 11, Iss 4, p 101 (2023)
In today’s big data era, cleaning big data streams has become a challenging task because of the different formats of big data and the massive amount of big data which is being generated. Many studies have proposed different techniques to overcome t
Externí odkaz:
https://doaj.org/article/1626a11914c24048a5ef12a709835c10
Publikováno v:
Information, Vol 14, Iss 7, p 422 (2023)
Assessment is one benchmark in measuring students’ abilities. However, assessment results cannot necessarily be trusted, because students sometimes cheat or even guess in answering the questions. Therefore, to obtain valid results, it is necessary
Externí odkaz:
https://doaj.org/article/d45eeb7163a746deb232d58e84df7f55
Autor:
Sarath Tomy, Eric Pardede
Publikováno v:
IEEE Access, Vol 7, Pp 132950-132965 (2019)
Student satisfaction with any course is a key factor for universities to survive, remain competitive and grow. This research proposes a career-focused educational model, Map My Career, to improve student satisfaction with their course by addressing a
Externí odkaz:
https://doaj.org/article/fad16b957a294213b489e1f7474ed2d4