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Items where Author is "Ali, Mohammed Hasan"
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Ismael Sahib, Hussein and Alsudani, Mustafa Qahtan and Ali, Mohammed Hasan and Qassim Abbas, Haydar and Moorthy, Kohbalan and Adnan, Myasar Mundher (2023) Proposed intelligence systems based on digital Forensics : Review paper. Materials Today: Proceedings, 80. pp. 2647-2651. ISSN 2214-7853. (Published)
Kohbalan, Moorthy and Ali, Mohammed Hasan and Mohd Arfian, Ismail and Chan, Weng Howe and Mohd Saberi, Mohamad and Safaai, Deris (2019) An Evaluation of Machine Learning Algorithms for Missing Values Imputation. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8 (12S2). pp. 415-420. ISSN 2278-3075. (Published)
Ali, Mohammed Hasan (2019) A fast learning network with improved particle swarm optimization for intrusion detection system. PhD thesis, Universiti Malaysia Pahang (Contributors, Thesis advisor: Mohamad Fadli, Zolkipli).
Ali, Mohammed Hasan and Mohamed Fadli, Zolkipli (2019) Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System. In: Intelligent Computing & Optimization. International Conference on Intelligent Computing & Optimization: ICO 2018 , 4-5 October 2018 , Pattaya, Thailand. pp. 146-157., 866. ISBN 978-3-030-00979-3 (Published)
Ali, Mohammed Hasan and Kohbalan, Moorthy and Anad, Mohammed Morad and Mohammed, Mohammed Abdulameer (2018) Propose a New Machine Learning Algorithm based on Cancer Diagnosis. Journal of Advanced Research in Dynamical & Control Systems, 10 (9). pp. 2668-2672. ISSN 1943-023X. (Published)
Ali, Mohammed Hasan and Mohamad Fadli, Zolkipli and Al Mohammed, B.A.D. and Alyani, Ismail (2018) A new intrusion detection system based on fast learning network and particle swarm optimization. IEEE Access, 6. 20255 -20261. ISSN 2169-3536. (Published)
Mostafa, Saifuldun and Saad, Hayder and Mustafa, Musa Jaber and Ali, Mohammed Hasan and Dhafer, Karam (2016) The Design Trends of Keystream Generator for Stream Cipher for High Immunity Attacks. In: Advanced Computer and Communication Engineering Technology. Lecture Notes in Electrical Engineering, 362 (1). Springer International Publishing, Switzerland , pp. 877-889. ISBN 978-3-319-24582-9 (Print); 978-3-319-24584-3 (Online)