Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Norwati Mustapha"'
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 10, Iss 1, Pp 1-12 (2024)
The advancement of machine learning model has widely been adopted to provide flood forecast. However, the model must deal with the challenges to determine the most important features to be used in in flood forecast with high-dimensional non-linear ti
Externí odkaz:
https://doaj.org/article/b4a85749ab964e9e817e950b8c2b42a9
Publikováno v:
Symmetry, Vol 16, Iss 6, p 712 (2024)
Many studies have shown successful applications of the Dirichlet process mixture model (DPMM) for clustering continuous data. Beyond continuous data, in practice, one can expect to see different data types, including ordinal and nominal data. Existin
Externí odkaz:
https://doaj.org/article/70020d391e1741b9804cfaadb1fd0729
Autor:
Ee Yeo Keat, Nurfadhlina Mohd Sharef, Razali Yaakob, Khairul Azhar Kasmiran, Erzam Marlisah, Norwati Mustapha, Maslina Zolkepli
Publikováno v:
IEEE Access, Vol 10, Pp 65011-65027 (2022)
Most existing recommendation systems (RSs) are primarily concerned about the accuracy of rating prediction and only recommending popular items. However, other non-accuracy metrics such as novelty and diversity should not be overlooked. Existing multi
Externí odkaz:
https://doaj.org/article/d70ab2e252824c17bc0fddecee685fe4
Publikováno v:
Journal of ICT, Vol 1, Iss 1 (2022)
Frequent pattern mining is a key problem in important data mining applications, such as the discovery of association rules, strong rules and episodes. Structure used in typical algorithms for solving this problem operate in several database scans and
Externí odkaz:
https://doaj.org/article/d8dcb059cadc4c5593c56fc7ea58332c
Publikováno v:
Journal of ICT, Vol 21, Iss 4 (2022)
Feature extraction and selection are critical in sentiment analysis (SA) to extract and select only the appropriate features by removing those deemed redundant. As such, the successful implementation of this process leads to better classification acc
Externí odkaz:
https://doaj.org/article/57e28814d4c94924bea005ffaf005106
Publikováno v:
Journal of Engineering Science and Technology, Vol 13, Iss 8, Pp 2549-2568 (2018)
Prior knowledge in pervasive computing recently has garnered a great deal of attention due to the high demand in most applications in order to fulfil the human needs. Human Activity Recognition (HAR) has considered every bit unitary of the applicatio
Externí odkaz:
https://doaj.org/article/eacf3e2b21e7403ca408d489af3a998c
Publikováno v:
Journal of ICT in Education, Vol 4, Pp 1-11 (2017)
Analyzing students’ feedback and their expressed emotions toward any subjects could help lecturers to understand their students’ learning behaviour. Several platforms are used by students to express their feelings such as through social networkin
Externí odkaz:
https://doaj.org/article/91b082d9a1c64084aadecb2100743773
Publikováno v:
International Journal of Technology, Vol 8, Iss 5, Pp 968-978 (2017)
Wearable sensor technology is evolving in parallel with the demand for human activity monitoring applications. According to World Health Organization (WHO), the percentage of health problems occurring in the world population, such as diabetes, heart
Externí odkaz:
https://doaj.org/article/56d80c58ae2442dc96da010e83d24ac2
Autor:
Raihani Mohamed, Mohammad Noorazlan Shah Zainudin, Md. Nasir Sulaiman, Thinagaran Perumal, Norwati Mustapha
Publikováno v:
Journal of ICT (2018)
In recent years, the use of accelerometers embedded in smartphones for Human Activity Recognition (HAR) has been well considered. Nevertheless, the role of the sensor placement is yet to be explored and needs to be further investigated. In this study
Externí odkaz:
https://doaj.org/article/5365880e9c1f4c1ca0fd8d9a211ac550
Publikováno v:
International Journal of Information Science and Management, Vol 0, Iss 0, Pp 13-22 (2014)
These days, due to growing the e-commerce sites, access to information about items is easier than past. But because of huge amount of information, we need new filtering techniques to find interested information faster and more accurate. Therefore Rec
Externí odkaz:
https://doaj.org/article/fe131b77a45f4d1eb0e37c18947e70cc