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Kuwait University
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Dive into the research topics where Abdullah Almutawa 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
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Classifying dental diseases based on deep learning to improve diagnosis and treatment in Kuwait
Almutawa, A. (PI) & ALTARAKUMA, Y. (CoI)
11/10/23 → …
Project: Applied Research › Applied Research 2023 Cycle 2
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Renal disease progression among patients with established Diabetic Kidney disease on SGLT-2 inhibitors over 5 years follow up
Almutawa, A. (PI), Abu, M. (CoI), Abubaker, J. (CoI), Al-Hindi, A. (CoI) & Qaddoumi, M. (CoI)
1/11/22 → 1/01/24
Project: Dasman Diabetes Institute Projects
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COVID-19 Genomes Sequencing: A Machine Learning Approach Towards Behavior Understanding, Diagnosis And Defeat Of The Disease
Almutawa, A. (PI)
1/07/20 → 7/05/23
Project: General Research › General Research 2020 Cycle 2 (Corona)
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Synchronous versus Asynchronous Video Instructions for Distance Learning in the Age of Pandemic
Almutawa, A. (PI)
9/01/20 → 8/11/21
Project: General Research › General Research 2020 Cycle 2 (Corona)
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A New Novel Approach for Single-Channel Arabic Speech Enhancement Using Phase Ratio
Almutawa, A. (PI)
1/11/17 → 12/09/19
Project: General Research › General Research 2017 Cycle 1
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Murugappan, M., & Mutawa, A. (2021). Facial geometric feature extraction based emotional expression classification using machine learning algorithms. PLoS ONE, 16(2 February), Article e0247131. https://doi.org/10.1371/journal.pone.0247131Open Access57 Scopus citations
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Murugappan, M., Mutawa, A. M., Sruthi, S., Hassouneh, A., Abdulsalam, A., Jerritta, S., & Ranjana, R. (2020). Facial Expression Classification using KNN and Decision Tree Classifiers. In 4th International Conference on Computer, Communication and Signal Processing, ICCCSP 2020 Article 9315234 (4th International Conference on Computer, Communication and Signal Processing, ICCCSP 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCCSP49186.2020.931523414 Scopus citations
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Murugappan, M., Maruthapillai, V., Khariunizam, W., Mutawa, A. M., Sruthi, S., & Yean, C. W. (2020). Virtual Markers based Facial Emotion Recognition using ELM and PNN Classifiers. In Proceedings - 2020 16th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2020 (pp. 261-265). Article 9068708 (Proceedings - 2020 16th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSPA48992.2020.90687089 Scopus citations