Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Dayang Nurfatimah Awang Iskandar"'
Publikováno v:
Journal of Telecommunications and Information Technology, Iss 1 (2022)
Defect detection is an important step in industrial production of monocrystalline silicon. Through the study of deep learning, this work proposes a framework for classifying monocrystalline silicon wafer defects using deep transfer learning (DTL). An
Externí odkaz:
https://doaj.org/article/08b3fedcdd9642c48e4a57b338a9998a
Autor:
Adil H. Khan, Dayang NurFatimah Awang Iskandar, Jawad F. Al‐Asad, Hiren Mewada, Muhammad Abid Sherazi
Publikováno v:
Concurrency and Computation: Practice and Experience. 34
Publikováno v:
2021 International Conference on Frontiers of Information Technology (FIT).
Autor:
Dayang Nurfatimah Awang Iskandar, Dayang Hanani Abang Ibrahim, Muhammad Shoaib Farooq, Maimoona Salam
Publikováno v:
Telematics and Informatics. 38:257-273
Service learning is an experiential learning approach, which intentionally integrates community service with classroom learning, as it provides real-world learning experience for students to gain practical knowledge from hands-on field experience. In
Autor:
Maimoona Salam, Muhammad Shoaib Farooq, Dayang Nurfatimah Awang Iskandar, Dayang Hanani Abang Ibrahim
Publikováno v:
Asia Pacific Education Review. 20:573-593
In the last few years, adoption of service learning in higher educational institutions has emerged as a modern teaching and learning strategy. This study is aimed to offer a systematic literature review of service learning implementation in higher ed
Autor:
Johari Abdullah, Albert A. Zijlstra, A.H. Fauzi, Iain McDonald, Gary A. Fuller, Rosni Abdullah, Dayang Nurfatimah Awang Iskandar
Publikováno v:
Galaxies, Vol 8, Iss 88, p 88 (2020)
Galaxies
Volume 8
Issue 4
Galaxies
Volume 8
Issue 4
This study investigate the effectiveness of using Deep Learning (DL) for the classification of planetary nebulae (PNe). It focusses on distinguishing PNe from other types of objects, as well as their morphological classification. We adopted the deep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3650700a80e81f6773f8a35535ad2ec0
Autor:
Wee Bui Lin, Soo See Chai, Phei-Chin Lim, Dayang Nurfatimah Awang Iskandar, Yin-Chai Wang, Hui Hui Wang
Publikováno v:
Journal of Computer Science. 14:1053-1063
Image search is a challenging process in the field of Content Based Image Retrieval (CBIR). Image search-by-example, search-by-keyword and search-by-sketch methods seldom provide user interface that allows user to accurately formulate their search in
Publikováno v:
GigaScience
Image-based data integration in eHealth and life sciences is typically concerned with the method used for anatomical space mapping, needed to retrieve, compare and analyse large volumes of biomedical data. In mapping one image onto another image, a m