Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities -
SDG 16 Peace, Justice and Strong Institutions
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Dive into the research topics where Ghazi AlNaymat is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Bridging the skills gap: A machine learning approach to align business education with labor market needs in the UAE
Traoret, R. I., Hujran, O., Al-Naymat, G. & Aldahmani, S., 2026, (Accepted/In press) In: Industry and Higher Education.Research output: Contribution to journal › Article › peer-review
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Ameliorated elk herd optimizer for global optimization and engineering problems
Al-Betar, M. A., Braik, M. S., Shambour, Q. Y., Al-Naymat, G. & Porntaveetus, T., Nov 2025, In: Artificial Intelligence Review. 58, 11, 360.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
An Adaptive Holt–Winters Model for Seasonal Forecasting of Internet of Things (IoT) Data Streams
Sawalha, S. & Al-Naymat, G., Sep 2025, In: Internet of Things. 6, 3, 39.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Data-Driven Sales Prediction and Strategic Insights for E-Commerce Through ML and BI Tools
Al-Etaibi, B., Ahmad, A., Al-Naymat, G. & Al-Betar, M. A., 2025, 2025 10th International Conference on Information Technology Trends, ITT 2025. Institute of Electrical and Electronics Engineers Inc., p. 152-157 6 p. (2025 10th International Conference on Information Technology Trends, ITT 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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ECG-CBA: An End-to-End Deep Learning Model for ECG Anomaly Detection Using CNN, Bi-LSTM, and Attention Mechanism
Ammar, K., Fraihat, S., Al-Naymat, G. & Sanjalawe, Y., Nov 2025, In: Algorithms. 18, 11, 674.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations