Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Marshima Mohd Rosli"'
Publikováno v:
IEEE Access, Vol 11, Pp 92857-92874 (2023)
Class imbalance exists in many data domains, posing numerous challenges to the data research community. Medical datasets, in most cases, are predominantly imbalanced in nature. Through tackling multi-class issues, most researchers preferred the conve
Externí odkaz:
https://doaj.org/article/dc06b74c39ab4d159cbc39e83ef6fc70
Autor:
Syamsul Syafiq, Abdul Fuad Abdul Rahman, Mohd Nasrul Taufiq Salleh, Farhan Arif Mohamad, Maslina Daud, Marshima Mohd Rosli
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 602, Iss 23, Pp 549-555 (2018)
The Smart Water has been a part of the Internet of Things (IoT) which evolves drastically and their involvement in the Smart Home make it a complete infrastructure. Smart Water is a term commonly used to define an automatic water quality monitoring s
Externí odkaz:
https://doaj.org/article/2c13cc541d94459b8ee45a0884ccf19b
Publikováno v:
Pertanika Journal of Science and Technology. 30:2157-2171
Software fault prediction is an important activity in the testing phase of the software development life cycle and involves various statistical and machine learning techniques. These techniques are useful for making accurate predictions to improve so
The quality of data is important in research working with data sets because poor data quality may lead to invalid results. Data sets contain measurements that are associated with metrics and entities; however, in some data sets, it is not always clea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3367a853e7502bd77326a50e0e3dd7ea
https://zenodo.org/record/7302761
https://zenodo.org/record/7302761
Publikováno v:
2022 13th International Conference on Information and Communication Technology Convergence (ICTC).
Autor:
Marshima Mohd Rosli, Muthukkaruppan Annamalai, Noor Alicezah Mohd Kasim, Chua Yung-An, Hapizah Mohd Nawawi
Publikováno v:
IAES International Journal of Artificial Intelligence (IJ-AI). 12:704
The paper describes the development of a computer-based familial hypercholesterolemia (FH) screening application (FH CatScreen©). The application facilitates automatic scoring and categorisation of patients by medical practitioners based on four wel
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 10:419-426
In the new healthcare transformations, individuals are encourage to maintain healthy life based on their food diet and physical activity routine to avoid risk of serious disease. One of the recent healthcare technologies to support self health monito
Publikováno v:
International Journal of Advanced Computer Science and Applications. 13
Autor:
Jafhate Edward, Marshima Mohd Rosli
Publikováno v:
2021 IEEE International Conference on Computing (ICOCO).
Publikováno v:
2021 IEEE 11th International Conference on System Engineering and Technology (ICSET).