Experimental exploration of rheological behavior of polyethylene glycol-carbon dot nanofluid: Introducing a robust artificial intelligence paradigm optimized with …

A Shahsavar, MA Mirzaei, A Shaham, M Jamei… - Journal of Molecular …, 2022 - Elsevier
In the present study, the polyethylene glycol 200 (PEG200)-based nanofluid containing
carbon dot (CD) nanoparticles was synthesized, and its rheological behavior at different …

Determining the best structure for an artificial neural network to model the dynamic viscosity of MWCNT-ZnO (25: 75)/SAE 10W40 oil nano-lubricant

MH Esfe, SA Eftekhari, SM Sajadi, M Hashemian… - Materials Today …, 2024 - Elsevier
In this paper, an artificial neural network (ANN) was utilized to examine the dynamic
viscosity of MWCNT-ZnO (25: 75)/SAE 10W40 oil nano-lubricant. The effect of temperature …

Classification of nanofluids solutions based on viscosity values: A comparative study of random forest, logistic model tree, Bayesian network, and support vector …

M Mohammadi, MK Khorrami… - Infrared Physics & …, 2022 - Elsevier
In this paper, we investigated predictive modelling algorithms namely Logistic Model Tree
(LMT), Bayesian Network (BN), Random Forest (RF), and Support Vector Machine (SVM) for …

γ-polyglutamic acid fermentation monitoring with ATR-FTIR spectroscopy based on a shallow convolutional neural network combined with data augmentation and …

P Shan, L Liu, G Feng, R Yang, Z He, Z Li… - Chemometrics and …, 2023 - Elsevier
The potential of attenuated total reflection Fourier transform infrared (ATR-FTIR)
spectroscopy to online real-time monitor the γ-polyglutamic acid (γ-PGA) fermentation …

The impact of viscoelastic nanofluids on the oil droplet remobilization in porous media: An experimental approach

S Mobaraki, H Tabatabaee, RS Torkmani… - e-Polymers, 2022 - degruyter.com
Polymer nanohybrids have displayed great potential in remobilizing oil droplets through
porous media. This research aims at providing some insights into how the hydrolyzed …

Oil recovery improvement in heterogeneous layered reservoirs using polymer nanohybrids: a numerical approach

S Badiri, O Mahmoodi, M Zakavi, A Anousha - Arabian Journal for Science …, 2022 - Springer
In this study, the efficiency of clay nanoparticles-assisted polymer (CNAP) flooding in
enhancing oil recovery was numerically scrutinized and compared with the conventional …

A novel strategy for improving the counter propagation artificial neural networks in classification tasks

S Belattar, O Abdoun, EK Haimoudi - Journal of Communications …, 2022 - hrcak.srce.hr
Sažetak Counter-Propagation-Artificial-Neural-Networks (C P-ANNs) have been applied in
several domains due to their learning and classification abilities. Regardless of their …

Characterization of Various Structural Adhesive Materials

S Sapkal, P Maske, SK Panigrahi… - Structural Adhesives …, 2023 - Wiley Online Library
With the rapid development of new and upgraded versions of structural adhesives in the
modern era, scientists have focused their attention on improving their chemical and physical …