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Mohammed Rasol Al Saidat
Institution:
British University in Dubai
Observed institutions:
British University in Dubai,
University of Sharjah
ORCID:
0000-0002-4175-7259
Observed ORCID:
0000-0002-4175-7259
OpenAlex ID:
A5014200053
Sustainability Model for the Continuous Intention to Use Metaverse Technology in Higher Education: A Case Study from Oman
2023
·
Said Salloum
, Amina Al Marzouqi
, et al.
·
Sustainability
·
198
PDF
Advancements of SMS Spam Detection: A Comprehensive Survey of NLP and ML Techniques
2024
·
Mohammed Rasol Al Saidat
, Suleiman Y. Yerima
, et al.
·
Procedia Computer Science
·
49
Forecasting the Acceptance of ChatGPT as Educational Platforms: An Integrated SEM-ANN Methodology
2024
·
Raghad Alfaisal
, Mohannad Hatem
, et al.
·
Studies in big data
·
31
The Coming ChatGPT
2024
·
Said A. Salloum
, Amina Almarzouqi
, et al.
·
Studies in big data
·
27
Exploring the Acceptance of ChatGPT for Translation: An Extended TAM Model Approach
2024
·
Said A. Salloum
, Rose A. Aljanada
, et al.
·
Studies in big data
·
21
A Novel Approach for Arabic SMS Spam Detection Using Hybrid Deep Learning Techniques
2024
·
Mohammed Rasol Al Saidat
, Suleiman Y. Yerima
, et al.
·
Procedia Computer Science
·
17
Exploring the Interpretability of Sequential Predictions Through Rationale Model
2024
·
Mohammed Rasol Al Saidat
, Said A. Salloum
, et al.
·
Studies in big data
·
3
A hybrid deep learning framework for Arabic smishing detection: Dataset creation, model design, and explainability
2026
·
Mohammed Rasol Al Saidat
, Khaled Shaalan
, et al.
·
Natural Language Processing Journal
·
1
PDF
Deep Spatio-Temporal Learning for Arrival Delay Prediction and Risk Profiling Using Large-Scale Airport Operations Data
2026
·
Said Salloum
, Mohammed Rasol Al Saidat
, et al.
·
International Conference on Revolutionary Artificial Intelligence and Future Applications (Rev-AI)
Advancing Interpretability in Sequential Models Through Generative AI Rationalization Using GPT-4
2025
·
Mohammed Rasol Al Saidat
, Khaled Shaalan
, et al.
·
Lecture notes in civil engineering
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Works count:
10
Citation count:
347
H-index:
6
I10-index:
6
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