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Items where Author is "Ameedeen, Mohamed Ariff"
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Mohan, Varun Geetha and Mubarak Ali, Al-Fahim and Ameedeen, Mohamed Ariff (2023) A Systematic Survey on the Research of AI-predictive Models for Wastewater Treatment Processes. Iraqi Journal for Computer Science and Mathematics (IJCSM), 4 (1). pp. 102-113. ISSN 2788-7421. (Published)
Mohan, Varun Geetha and Ameedeen, Mohamed Ariff and Vijayan, Bincy Lathakumary and Al-Fahim, Mubarak-Ali (2022) A review on predictive models designed from artificial intelligence techniques in the wastewater treatment process. In: Trends, Paradigms, and Advances in Mechatronics Engineering. Premier Reference Source . IGI Global, Pennsylvania, United States, pp. 242-264. ISBN 9781668458877
Mohan, Varun Geetha and Al-Fahim, Mubarak-Ali and Ameedeen, Mohamed Ariff and Vijayan, Bincy Lathakumary and Aminuddin, Afrig and Widayani, Wiwi (2022) Predictive models using supervised neural network for pollutant removal efficiency in petrochemical wastewater treatment. In: 2022 5th International Conference on Information and Communications Technology (ICOIACT) , 24-25 August 2022 , Yogyakarta, Indonesia. pp. 1-6.. ISSN 2770-4661 ISBN 978-1-6654-5140-6 (Published)
Kamarudin, Imran Edzereiq and Azmi, Zafril Rizal M and Ong, Muhamad Idaham Umar and Lokman, Abbas Saliimi and Ameedeen, Mohamed Ariff (2018) Performance improvement in end-to-end bandwidth estimation tool in wireless local area network (WLAN). , [Research Report] (Unpublished)
Nasrullah, Mohd and Ameedeen, Mohamed Ariff and Nurul Huda, Othman and Faizal, Che Ku M. (2017) Optimization of active protein extraction from biomass waste for application in water treatment. , [Research Report] (Unpublished)
Ameedeen, Mohamed Ariff (2010) Sequence diagram synthesis theory for stitching together multiple sequence diagrams through formal semantics modelling. (Unpublished)
Ameedeen, Mohamed Ariff and Zamli, K. Z. and Ong, Muhamad Idaham Umar and Thong, Weng Jie Sequence diagram synthesis theory for stitching together multiple sequence diagrams through formal semantics modelling. , [Research Report] (Unpublished)