Tarig Faisal - researchr alias

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Viewing Publication 1 - 9 from 9

2022

Deep Reinforcement Learning Based Beam Selection for Hybrid Beamforming and User Grouping in Massive MIMO-NOMA SystemIrfan Ahmed 0002, Muhammad Khalil Shahid, Tarig Faisal. access, 10:89519-89533, 2022. [doi]

Neural Networks for Energy-Efficient Self Optimization of eNodeB Antenna Tilt in 5G Mobile Network EnvironmentsMuhammed Nauman Qureshi, Muhammad Khalil Shahid, Moazzam Islam Tiwana, Majed Haddad, Irfan Ahmed 0002, Tarig Faisal. access, 10:61678-61694, 2022. [doi]

2021

Smart Cart With Multi-shopping SolutionsTarig Faisal, Moath Awawdeh, Daniel Habte, Hala Berhanu, Kibrom Kifle, Lia Misghina, Anees Bashir. ijim, 15(24):77-93, December 2021. [doi]

2015

The Application of Biomedical Engineering Techniques to the Diagnosis and Management of Tropical Diseases: A ReviewFatimah Ibrahim, Tzer Hwai Gilbert Thio, Tarig Faisal, Michael Neuman. sensors, 15(3):6947-6995, 2015. [doi]

2012

Adaptive Neuro-Fuzzy Inference System for diagnosis risk in dengue patientsTarig Faisal, Mohd Nasir Taib, Fatimah Ibrahim. eswa, 39(4):4483-4495, 2012. [doi]

Neural network diagnostic system for dengue patients risk classificationTarig Faisal, Mohd Nasir Taib, Fatimah Ibrahim. jms, 36(2):661-676, 2012. [doi]

2010

A noninvasive intelligent approach for predicting the risk in dengue patientsTarig Faisal, Fatimah Ibrahim, Mohd Nasir Taib. eswa, 37(3):2175-2181, 2010. [doi]

Reexamination of risk criteria in dengue patients using the self-organizing mapTarig Faisal, Mohd Nasir Taib, Fatimah Ibrahim. mbec, 48(3):293-301, 2010. [doi]

Non-invasive diagnosis of risk in dengue patients using bioelectrical impedance analysis and artificial neural networkFatimah Ibrahim, Tarig Faisal, M. I. Mohamad Salim, Mohd Nasir Taib. mbec, 48(11):1141-1148, 2010. [doi]

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