Optimized ANFIS models based on grid partitioning, subtractive clustering, and fuzzy C-means to precise prediction of thermophysical properties of hybrid nanofluids
Z Zhang, M Al-Bahrani, B Ruhani… - Chemical Engineering …, 2023 - Elsevier
Applying machine learning algorithms in the prediction of nanofluids' thermophysical
properties such as density, viscosity, thermal conductivity (TC), and specific heat capacity …
properties such as density, viscosity, thermal conductivity (TC), and specific heat capacity …
Food for future: Exploring cutting-edge technology and practices in vertical farm
With the growing urbanized population, vertical farming becomes indispensable in
eradicating hunger and ensuring food security for the future. Food security has become a …
eradicating hunger and ensuring food security for the future. Food security has become a …
What can artificial intelligence approaches bring to an improved and efficient harvesting and postharvest handling of date fruit (Phoenix dactylifera L.)? A review
Y Noutfia, E Ropelewska - Postharvest Biology and Technology, 2024 - Elsevier
Date fruit (Phoenix dactylifera L.) is known for its diversity in terms of genotypes that differ in
shape, color, texture, taste, and other physical and sensory attributes, in addition to …
shape, color, texture, taste, and other physical and sensory attributes, in addition to …
Using different machine learning algorithms to predict the rheological behavior of oil SAE40-based nano-lubricant in the presence of MWCNT and MgO nanoparticles
M Baghoolizadeh, N Nasajpour-Esfahani… - Tribology …, 2023 - Elsevier
In the present study, using 15 machine learning algorithms (MLP, SVM, RBF, ELM, ANFIS, D-
Tree, MLR, MPR, BPNN, BN, LM, GD, BFGS, XGB and GMDH), the rheological behavior of …
Tree, MLR, MPR, BPNN, BN, LM, GD, BFGS, XGB and GMDH), the rheological behavior of …
An energy-efficient clustering algorithm for maximizing lifetime of wireless sensor networks using machine learning
Wireless sensor nodes come with small-sized batteries that provide the energy required to
do all kinds of activities. Unnecessary usage of the radio, especially during idle listening …
do all kinds of activities. Unnecessary usage of the radio, especially during idle listening …
Statistical analysis and Neural Network Modeling of functionally graded porous nanobeams vibration in an elastic medium by considering the surface effects
X Cheng, SH Al-Khafaji, M Hashemian… - … Applications of Artificial …, 2023 - Elsevier
The natural frequency of a clamped–clamped functionally graded porous (FGP) nanobeam
is predicted in this study. Material distribution is considered based on monotonous …
is predicted in this study. Material distribution is considered based on monotonous …
Multi-objective optimization of viscosity and thermal conductivity of TiO2/BioGlycol-water nanofluids with sorting non-dominated genetic algorithm II coupled with …
The study aimed to optimize of viscosity and thermal conductivity (TC) properties of TiO 2/BG-
Water (20: 80) and TiO 2/BG-Water (30: 70) nanofluids (NFs). In this study, simulation …
Water (20: 80) and TiO 2/BG-Water (30: 70) nanofluids (NFs). In this study, simulation …
[HTML][HTML] Bayesian machine learning analysis with Markov Chain Monte Carlo techniques for assessing characteristics and risk factors of Covid-19 in Erbil City-Iraq …
The study aims to showcase machine learning techniques in the application of medical
datasets for improving identification of correlations and relationships between variables …
datasets for improving identification of correlations and relationships between variables …
Development of cellulose/hydroxyapatite/TiO2 scaffolds for efficient removal of lead (II) ions pollution: Characterization, kinetic analysis, and artificial neural network …
P Xuchao, H Yong, DT Semirumi, F Zhong… - International Journal of …, 2023 - Elsevier
The utilization of nano-biodegradable composites for removing pollutants and heavy metals
in aquatic environments has been widespread. This study focuses on synthesizing cellulose …
in aquatic environments has been widespread. This study focuses on synthesizing cellulose …
Using the RSM to evaluate the rheological behavior of SiO2 (60%)-MWCNT (40%)/SAE40 oil hybrid nanofluid and investigating the effect of different parameters on …
MH Esfe, SNH Tamrabad, H Hatami, S Alidoust… - Tribology …, 2023 - Elsevier
The present study predicts dynamic viscosity of SiO 2 (60%)-MWCNT (40%) hybrid nanofluid
(HNF) in SAE40 oil as base fluid (BF) by comparing various models of RSM. This study was …
(HNF) in SAE40 oil as base fluid (BF) by comparing various models of RSM. This study was …