Maryam Karimi

Using Gaussian Process Regression (GPR) models with the Matérn covariance function to predict the dynamic viscosity and torque of SiO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1345" altimg="si4.svg"><mml:msub><mml:mrow/><mml:mrow><mml:mi mathvariant="bold">2</mml:mi></mml:mrow></mml:msub></mml:math>/Ethylene glycol nanofluid: A machine learning approach

Xiaohong Dai, Hamid Taheri Andani, Asˈad Alizadeh et al. · Engineering Applications of Artificial Intelligence · 2023 · 62 citations

Gaussian Process Regression, Rheological Measurement, Fluid Properties +11

Design and development of vitamin C-encapsulated proliposome with improved <i>in-vitro</i> and <i>ex-vivo</i> antioxidant efficacy

Elahehnaz Parhizkar, Marzieh Rashedinia, Maryam Karimi et al. · Journal of Microencapsulation · 2018 · 53 citations · Full text

Improving anti-tumour efficacy of PEGylated liposomal doxorubicin by dual targeting of tumour cells and tumour endothelial cells using anti-p32 CGKRK peptide

Mohammad Mashreghi, Mahdi Faal Maleki, Maryam Karimi et al. · Journal of drug targeting · 2021 · 43 citations

Surveying the effects of exercise program on sleep quality of the male elderly

Alireza Abdi, Ali Soroush, Farhad Towhidi et al. · Clinical Interventions in Aging · 2016 · 31 citations · Full text

Assessment of the optical and dielectric properties of f-MWCNTs/BaTiO3 nanocomposite ceramics

Marzieh Nadafan, Mohammad Reza Tohidifar, Maryam Karimi et al. · Ceramics International · 2018 · 18 citations

Materials Science, Dielectric Properties, Optical Materials +8