Search Results - ILYAS, SUHAIB UMER

Application of machine learning to determine the shear stress and filtration loss properties of nano-based drilling fluid by Ning, Yee Cai, Ridha, Syahrir, Ilyas, Suhaib Umer, Krishna, Shwetank, Dzulkarnain, Iskandar, Abdurrahman, Muslim

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Investigation on the stability, thermal characteristics and natural convection heat transfer in oil-based nanofluids. by ILYAS, SUHAIB UMER

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Physiochemical parametric considerations for optimal underground hydrogen storage by Noshad, Nawal, Krishna, Shwetank, Thonhauser, Gerhard, Ridha, Syahrir, Abdulrahman, Aymn, Ilyas, Suhaib Umer

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Application of Machine Learning Algorithms in Predicting Rheological Behavior of BN-diamond/Thermal Oil Hybrid Nanofluids by Ali, Abulhassan, Noshad, Nawal, Kumar, Abhishek, Ilyas, Suhaib Umer, Phelan, Patrick E., Alsaady, Mustafa, Nasir, Rizwan, Yan, Yuying

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Molecular simulation and ANN modelling for Cadmium (Cd) and Lead (Pb) adsorption from water using zeolites by Hira, Noor e., Lock, Serene Sow Mun, Lim, Lam Ghai, Arshad, Ushtar, Darban, Mehtab Ali, Farooqi, Abid Salam, Ilyas, Suhaib Umer, Yiin, Chung Loong

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Prediction of Rheological and Filtration Loss Properties of Nano-Zirconium-Dioxide Drilling Fluids via Machine Learning Techniques for Energy Exploration by Jason, Cheah, Ilyas, Suhaib Umer, Ridha, Syahrir, Sehar, Umara, Alsaady, Mustafa, Krishna, Shwetank

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Settling characteristics of nanoparticles in ethanol-water mixtures by ILYAS, SUHAIB UMER

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Settling Characteristics of Alumina Nanoparticles in Ethanol-Water Mixtures by Ilyas, Suhaib Umer, Pendyala, Rajashekhar, Marneni, Narahari

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CFD Analysis of Heat Transfer Performance in a Car Radiator with Nanofluids as Coolants by Pendyala, Rajashekhar, Chong, Jia Ling, Ilyas, Suhaib Umer

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CFD Simulations of Natural Convection Heat Transfer in Enclosures with Varying Aspect Ratios by Pendyala, Rajashekhar, Wong, Yean Sang, Ilyas, Suhaib Umer

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CFD Simulations of Transient Fuel Gases Mixing, Leakage and Flammability in Air by Pendyala, Rajashekhar, Yong, Jenn, Azman, Irsyad Ahnaf, Ilyas, Suhaib Umer

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Prediction of Rheological and Filtration Loss Properties of Nano-Zirconium-Dioxide Drilling Fluids via Machine Learning Techniques for Energy Exploration by Jason, Cheah, Ilyas, Suhaib Umer, Ridha, Syahrir, Sehar, Umara, Alsaady, Mustafa, Krishna, Shwetank

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Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: a comprehensive review by Krishna, Shwetank, Ridha, Syahrir, Vasant, Pandian M., Ilyas, Suhaib Umer, Sophian, Ali

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