Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Masnizah Mohd"'
Publikováno v:
Elektronika ir Elektrotechnika, Vol 30, Iss 2, Pp 73-79 (2024)
Content-based (CB) recommendation algorithms recommend items to a user based on items the user liked in the past. CB methodologies have gained attention due to their higher accuracy and transparency and the emergence of new technologies, such as know
Externí odkaz:
https://doaj.org/article/abd3ab079d65432a8dc9ea9043ab3194
Autor:
Izzati Yussof, Nur Fa’izah Ab Muin, Masnizah Mohd, Ernieda Hatah, Nor Asyikin Mohd Tahir, Noraida Mohamed Shah
Publikováno v:
Digital Health, Vol 9 (2023)
Objective To determine the prevalence and types of misinformation on Twitter related to breast cancer prevention and treatment; and compare the differences between the misinformation in English and Malay tweets. Methods A total of 6221 tweets related
Externí odkaz:
https://doaj.org/article/13211ab0820340f598d4b4bf1183ba44
Publikováno v:
IEEE Access, Vol 11, Pp 38721-38738 (2023)
Phishing attacks have become a perilous threat in recent years, which has led to numerous studies to determine the classification technique that best detects these attacks. Several studies have made comparisons using only specific datasets and techni
Externí odkaz:
https://doaj.org/article/10df9a3f00d244cfb75fce180bd9668e
Publikováno v:
IEEE Access, Vol 10, Pp 41574-41591 (2022)
Phishing has become a serious and concerning problem within the past 10 years, with many reviews describing attack patterns and anticipating different method utilizations. This indicates that the results are still not comprehensive, subsequently leav
Externí odkaz:
https://doaj.org/article/5de2f52da21045b0a6736fb16d882552
Publikováno v:
International Journal of Informatics, Information System and Computer Engineering, Vol 2, Iss 2, Pp 143-155 (2021)
Fires in residential areas are one of the threats out of 13 disasters in Indonesia. Fires are disasters based on their causes, classified as disasters caused by human negligence. This research aims to identify residential fire incidents, assess fire
Externí odkaz:
https://doaj.org/article/8ed33ef56d6543e58e6be742526864af
Publikováno v:
Journal of Information Science Theory and Practice, Vol 9, Iss 1, Pp 24-34 (2021)
The popularity of social networking sites (SNS) has facilitated communication between users. The usage of SNS helps users in their daily life in various ways such as sharing of opinions, keeping in touch with old friends, making new friends, and gett
Externí odkaz:
https://doaj.org/article/5a1842ed31ea4819b8d2ca8deb62b546
Publikováno v:
IEEE Access, Vol 9, Pp 38318-38330 (2021)
A Quranic optical character recognition (OCR) system based on convolutional neural network (CNN) followed by recurrent neural network (RNN) is introduced in this work. Six deep learning models are built to study the effect of different representation
Externí odkaz:
https://doaj.org/article/32fdf3d797db4d878585da291306d3f7
Autor:
Abubaker Salem Mohamed Shibani, Masnizah Mohd, Ahmad Tarmizi Abdul Ghani, Mohamad Shanudin Zakaria, Sumaia Mohammed Al-Ghuribi
Publikováno v:
Information, Vol 14, Iss 4, p 207 (2023)
E-learning is an innovative strategy for enhancing teaching and learning in digital environments with the goal of enhancing education. In the same context, recommendation models have been developed for predicting the user’s learning preferences. A
Externí odkaz:
https://doaj.org/article/ce24a930f30b4b30bb6a02449119f249
Publikováno v:
Asia-Pacific Journal of Information Technology and Multimedia, Vol 9, Iss 01, Pp 69-81 (2020)
Building a robust Optical Character Recognition (OCR) system for languages, such as Arabic with cursive scripts, has always been challenging. These challenges increase if the text contains diacritics of different sizes for characters and words. Apart
Externí odkaz:
https://doaj.org/article/301eccd47ce4471c8657dd2f31659d2d
Publikováno v:
IEEE Access, Vol 8, Pp 166472-166490 (2020)
In recent years, a significant boost in data availability for persistent data streams has been observed. These data streams are continually evolving, with the clusters frequently forming arbitrary shapes instead of regular shapes in the data space. T
Externí odkaz:
https://doaj.org/article/b1bc442b9e3b47249293df07af2dac12