Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Asmiza Abdul Sani"'
Publikováno v:
IEEE Access, Vol 12, Pp 47568-47580 (2024)
Deep Q-Network (DQN) is a popular deep reinforcement learning algorithm that has demonstrated promising results across a variety of domains. DQN presents a promising solution to the challenge of lowering false positives in software defect prediction,
Externí odkaz:
https://doaj.org/article/dec7a1c5a9eb4be4abac954c05ece237
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0299585 (2024)
The performance of the defect prediction model by using balanced and imbalanced datasets makes a big impact on the discovery of future defects. Current resampling techniques only address the imbalanced datasets without taking into consideration redun
Externí odkaz:
https://doaj.org/article/8b2ab860a0ba46b98bc3bf12b684d45b
Autor:
Muntadher Saadoon, Siti Hafizah Ab Hamid, Hazrina Sofian, Hamza Altarturi, Nur Nasuha, Zati Hakim Azizul, Asmiza Abdul Sani, Adeleh Asemi
Publikováno v:
Sensors, Vol 21, Iss 11, p 3799 (2021)
Hadoop MapReduce reactively detects and recovers faults after they occur based on the static heartbeat detection and the re-execution from scratch techniques. However, these techniques lead to excessive response time penalties and inefficient resourc
Externí odkaz:
https://doaj.org/article/e7e6ed9749ba439099633297eabde7f4
Autor:
Shahin Hasan, Raja Jamilah Raja Yusof, Hazrina Sofian, Rodina Ahmad, Nazean Jomhari, Asmiza Abdul Sani, Siti Hafizah Ab Hamid, Azah Anir Norman, Unaizah Hanum Obaidellah, Saaidal Razalli Azzuhri, Mohd Yamani Idna Idris
Publikováno v:
2023 IEEE Global Engineering Education Conference (EDUCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::004e5f40e37ef303e07f6d467e1c41d3
https://doi.org/10.1109/educon54358.2023.10125110
https://doi.org/10.1109/educon54358.2023.10125110
Publikováno v:
Telecommunication Systems. 73:171-182
Device to device (D2D) communication and mobile edge computing (MEC) are two promising technologies in fifth generation (5G) cellular mobile communication. Besides MEC, a new task offloading technique attracts the attention as D2D collaboration. Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3594ffd221fbffaee37b48318bfbec49
https://doi.org/10.1007/s11235-019-00595-3
https://doi.org/10.1007/s11235-019-00595-3
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 27:601-622
Model-based testing (MBT) seems to be gaining interest in industry and academia due to its provision of systematic, automated and comprehensive testing. The challenge in MBT is to generate optimal test data to execute test cases. Recently, researcher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5863e27f547bca7567dff6d7f30b5597
https://doi.org/10.1142/s021819401750022x
https://doi.org/10.1142/s021819401750022x
Autor:
Siti Hafizah Ab Hamid, Mumtaz Begum Mustafa, Asmiza Abdul Sani, Yeap Chun Sheng, Shahin Alam, Abdullah Gani
Publikováno v:
2016 Fifth ICT International Student Project Conference (ICT-ISPC).
Academic qualification is a necessity for an individual to compete in today's competitive environment. Employers' selection criteria of potential candidate are usually based on the grade point average (GPA). Despite a student's intellectual ability,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73eed1dd00384b0cb1eea7b101b0a9c9
https://doi.org/10.1109/ict-ispc.2016.7519249
https://doi.org/10.1109/ict-ispc.2016.7519249
Publikováno v:
2011 Malaysian Conference in Software Engineering.
The development of model transformations is commonly an ad-hoc activity in MDE. Transformations are engineering artefacts, and can be developed in a disciplined way, like other software artefacts. A model transformation development process can produc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0604538be5d0b44b87c960d3388d629f
https://doi.org/10.1109/mysec.2011.6140647
https://doi.org/10.1109/mysec.2011.6140647