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ORCIDMohammed Al-Shargabi
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2020 – today
- 2024
[j5]Shadfar Davoodi
, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Mohammed Al-Shargabi, Valeriy S. Rukavishnikov:
Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern - a theoretical study. Expert Syst. Appl. 250: 123944 (2024)- 2023
- [j4]Mohammed Al-Rubaii, Mohammed Al-Shargabi, Bayan Aldahlawi, Dhafer Al-Shehri, Konstantin M. Minaev:
A Developed Robust Model and Artificial Intelligence Techniques to Predict Drilling Fluid Density and Equivalent Circulation Density in Real Time. Sensors 23(14): 6594 (2023)
2010 – 2019
- 2019
- [j3]Abdallah Namoun, Ahmad Taleb, Mohammed Al-Shargabi, Mohamed Benaida:
A Learning Outcome Inspired Survey Instrument for Assessing the Quality of Continuous Improvement Cycle. Int. J. Inf. Commun. Technol. Educ. 15(2): 108-129 (2019) - 2018
- [j2]Adel Rajab, Chin-Tser Huang, Mohammed Al-Shargabi:
Decision tree rule learning approach to counter burst header packet flooding attack in Optical Burst Switching network. Opt. Switch. Netw. 29: 15-26 (2018) - 2017
- [j1]Mohammed Al-Shargabi, Faisal Saeed, Abdul Samad Ismail, Sevia M. Idrus:
An enhanced burst assembly scheme over optical burst switching networks. Int. J. Inf. Commun. Technol. 10(3): 287-298 (2017) - 2016
- [c1]Adel Rajab, Chin-Tser Huang, Mohammed Al-Shargabi, Jorge Arturo Cobb:
Countering Burst Header Packet Flooding Attack in Optical Burst Switching Network. ISPEC 2016: 315-329
Coauthor Index
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