Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Fatma Mallek"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Motivated by the imperative demand for design integration and miniaturization within the terahertz (THz) spectrum, this study presents an innovative solution to the challenges associated with singular functionality, limited application scope
Externí odkaz:
https://doaj.org/article/6f1cb151b88e47ad9bd780f3456408e3
Autor:
Tamara Al Shloul, Tehseen Mazhar, Qamar Abbas, Muhammad Iqbal, Yazeed Yasin Ghadi, Tariq Shahzad, Fatma Mallek, Habib Hamam
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 6, Iss , Pp 100219- (2024)
Purpose: This study investigates the impact of activity-based learning and the utilization of ChatGPT on students' academic performance within the educational framework. Objectives: The study aims to assess the effectiveness of activity-based learnin
Externí odkaz:
https://doaj.org/article/28cc76d7dc6e4a569a53ca1df374aedb
Publikováno v:
PeerJ Computer Science, Vol 10, p e2000 (2024)
Immersive technology, especially virtual reality (VR), transforms education. It offers immersive and interactive learning experiences. This study presents a systematic review focusing on VR’s integration with educational theories in higher educatio
Externí odkaz:
https://doaj.org/article/707fcf742bec4bc89b833a211d0af1bb
Autor:
Syed Faisal Abbas Shah, Tehseen Mazhar, Tamara Al Shloul, Tariq Shahzad, Yu-Chen Hu, Fatma Mallek, Habib Hamam
Publikováno v:
PeerJ Computer Science, Vol 10, p e1776 (2024)
Real-time data gathering, analysis, and reaction are made possible by this information and communication technology system. Data storage is also made possible by it. This is a good move since it enhances the administration and operation services esse
Externí odkaz:
https://doaj.org/article/b7f2cd6266cc47eaaedd63b67736a441
Autor:
Inayatul Haq, Tehseen Mazhar, Rizwana Naz Asif, Yazeed Yasin Ghadi, Rabea Saleem, Fatma Mallek, Habib Hamam
Publikováno v:
PeerJ Computer Science, Vol 9, p e1651 (2023)
HT-29 has an epithelial appearance as a human colorectal cancer cell line. Early detection of colorectal cancer can enhance survival rates. This study aims to detect and count HT-29 cells using a deep-learning approach (ResNet-50). The cell lines wer
Externí odkaz:
https://doaj.org/article/e924fde6710247a7945a99587de46eb4
Publikováno v:
ACLING
Twitter, is considered as one of the famous social networking platform. It has become a very valuable information source for many Natural Language Processing (NLP) applications. Some strategies and linguistic pipelines were developed for analyzing En
Publikováno v:
Intelligent Natural Language Processing: Trends and Applications ISBN: 9783319670553
Twitter is a continuous and unlimited source of data in natural language, which is particularly unstructured, highly noisy and short, making it difficult to deal with traditional approaches to automatic Natural Language Processing (NLP). The current
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::579cc42199f32b65d9f40df92306b8b0
https://doi.org/10.1007/978-3-319-67056-0_6
https://doi.org/10.1007/978-3-319-67056-0_6
Publikováno v:
LG-LP@COLING
Modern Standard Arabic (MSA) is the formal language in most Arabic countries. Arabic Dialects (AD) or daily language differs from MSA especially in social media communication. However, most Arabic social media texts have mixed forms and many variatio