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Qahtan M. Yas
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2020 – today
- 2024
- [j7]Qahtan M. Yas, Younis Kadthem Hameed:
Rainfall rate prediction using recurrent neural network with long short-term memory algorithm: Iraq case study. Int. J. Comput. Appl. Technol. 74(1/2): 125-135 (2024) - 2021
- [j6]Baidaa Al-Bander
, Qahtan M. Yas
Benchmarking of deep learning algorithms for skin cancer detection based on a hybrid framework of entropy and VIKOR techniques. Turkish J. Electr. Eng. Comput. Sci. 29(SI-1): 2634-2648 (2021) - 2020
- [j5]A. A. Zaidan, B. B. Zaidan
Multi-agent learning neural network and Bayesian model for real-time IoT skin detectors: a new evaluation and benchmarking methodology. Neural Comput. Appl. 32(12): 8315-8366 (2020)
2010 – 2019
- 2019
- [c1]Qahtan M. Yas, Mohammed Khalaf
A Trusted MANET Routing Algorithm Based on Fuzzy Logic. ACRIT 2019: 185-200 - 2018
- [j4]Qahtan M. Yas
A Systematic Review on Smartphone Skin Cancer Apps: Coherent Taxonomy, Motivations, Open Challenges and Recommendations, and New Research Direction. J. Circuits Syst. Comput. 27(5): 1830003:1-1830003:40 (2018) - [j3]F. M. Jumaah, A. A. Zaidan, B. B. Zaidan
Technique for order performance by similarity to ideal solution for solving complex situations in multi-criteria optimization of the tracking channels of GPS baseband telecommunication receivers. Telecommun. Syst. 68(3): 425-443 (2018) - [j2]A. A. Zaidan, B. B. Zaidan
A survey on communication components for IoT-based technologies in smart homes. Telecommun. Syst. 69(1): 1-25 (2018) - 2017
- [j1]Qahtan M. Yas
Towards on Develop a Framework for the Evaluation and Benchmarking of Skin Detectors Based on Artificial Intelligent Models Using Multi-Criteria Decision-Making Techniques. Int. J. Pattern Recognit. Artif. Intell. 31(3): 1759002:1-1759002:24 (2017)
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last updated on 2024-10-16 20:33 CEST by the dblp team
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