Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Nur Atiqah Sia Abdullah"'
Autor:
Nurzulaikha Khalid, Shuzlina Abdul-Rahman, Wahyu Wibowo, Nur Atiqah Sia Abdullah, Sofianita Mutalib
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 9, Iss 3, Pp 457-471 (2023)
In Malaysia, during the early stages of the COVID-19 pandemic, the negative impact on mental health became noticeable. The public's psychological and behavioral responses have risen as the COVID-19 outbreak progresses. A high impression of severity,
Externí odkaz:
https://doaj.org/article/08fb861804774fa9b5a896f154bc60e9
Publikováno v:
Proceedings, Vol 82, Iss 1, p 69 (2022)
Estimation methods are continuously being adapted to obtain better and clearer estimations needed to achieve development goals. Some estimation methods were invented before the modern mobile application technology that is currently available. Thus, t
Externí odkaz:
https://doaj.org/article/cc4b8b4ad2e24c09b90e38adf792d2cc
Publikováno v:
Malaysian Journal of Computing, Vol 2, Iss 2, Pp 34-53 (2014)
The emergence technology and popularity of mobile game application has led to higher demands in producing more colorful game environment, interactive design and selecting targeted platforms. To fulfil these requirements, mobile game engine; a framewo
Externí odkaz:
https://doaj.org/article/d98aa92d181b47f289508b3e4cc4b622
Autor:
Noraini Seman, Zainab Abu Bakar, Nordin Abu Bakar, Haslizatul Fairuz Mohamed, Nur Atiqah Sia Abdullah, Prasanna Ramakrisnan, Sharifah Mumtazah Syed Ahmad
Publikováno v:
Malaysian Journal of Computing, Vol 1, Pp 74-87 (2010)
This paper describes speech recognizer modeling techniques which are suited to high performance and robust isolated word recognition in speaker-independent manner. In this study, a speech recognition system is presented, specifically for an isolated
Externí odkaz:
https://doaj.org/article/ce66a209fc844f168d099ff90e162897
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
Autor:
Intan Norsyafiqa Kamalbahrin, Haslizatul Mohamed Hanum, Nur Atiqah Sia Abdullah, Noor Latiffah Adam, Nor Ashikin Mohamad Kamal, Zainab Abu Bakar
Publikováno v:
2022 IEEE International Conference on Computing (ICOCO).
Publikováno v:
2022 IEEE International Conference on Computing (ICOCO).
Publikováno v:
International Journal of Advanced Computer Science and Applications. 13
Publikováno v:
2021 IEEE 11th International Conference on System Engineering and Technology (ICSET).
Publikováno v:
2021 IEEE 11th International Conference on System Engineering and Technology (ICSET).