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Masoud Muhammed Hassan
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2020 – today
- 2024
- [i1]Masoud Muhammed Hassan:
Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretability. CoRR abs/2408.02706 (2024) - 2023
- [j6]Adel Sabry Eesa, Masoud Muhammed Hassan, Wahab Khalaf Arabo:
Letter: Application of optimization algorithms to engineering design problems and discrepancies in mathematical formulas. Appl. Soft Comput. 140: 110252 (2023) - [j5]Diman Hassan, Haval Ismael Hussein, Masoud Muhammed Hassan:
Heart disease prediction based on pre-trained deep neural networks combined with principal component analysis. Biomed. Signal Process. Control. 79(Part): 104019 (2023) - [j4]Haval Ismael Hussein, Abdulhakeem O. Mohammed, Masoud Muhammed Hassan, Ramadhan J. Mstafa:
Lightweight deep CNN-based models for early detection of COVID-19 patients from chest X-ray images. Expert Syst. Appl. 223: 119900 (2023) - 2022
- [j3]Abdullah A. Abdullah, Masoud Muhammed Hassan, Yaseen T. Mustafa:
A Review on Bayesian Deep Learning in Healthcare: Applications and Challenges. IEEE Access 10: 36538-36562 (2022) - [j2]Dozdar Mahdi Ahmed, Masoud Muhammed Hassan, Ramadhan J. Mstafa:
A Review on Deep Sequential Models for Forecasting Time Series Data. Appl. Comput. Intell. Soft Comput. 2022: 6596397:1-6596397:19 (2022) - [j1]Haval Ismael Hussein, Hivi Ismat Dino, Ramadhan J. Mstafa, Masoud Muhammed Hassan:
Person-independent facial expression recognition based on the fusion of HOG descriptor and cuttlefish algorithm. Multim. Tools Appl. 81(8): 11563-11586 (2022)
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last updated on 2024-09-14 02:04 CEST by the dblp team
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