[HTML][HTML] Towards highly efficient solar photovoltaic thermal cooling by waste heat utilization: A review

MM Farag, AK Hamid, MN AlMallahi… - Energy Conversion and …, 2024 - Elsevier
Photovoltaic (PV) systems are popular for their reliability and zero fuel costs. However, only
around 20% of solar energy is converted into electricity, while the remainder is dissipated as …

[HTML][HTML] Electrical efficiency of the photovoltaic/thermal collectors cooled by nanofluids: Machine learning simulation and optimization by evolutionary algorithm

Y Cao, E Kamrani, S Mirzaei, A Khandakar, B Vaferi - Energy Reports, 2022 - Elsevier
Abstract Photovoltaic/thermal (PV/T) are high-tech devices to transform solar radiation into
electrical and thermal energies. Nano-coolants are recently considered to enhance the …

Estimating the density of deep eutectic solvents applying supervised machine learning techniques

M Abdollahzadeh, M Khosravi… - Scientific Reports, 2022 - nature.com
Deep eutectic solvents (DES) are recently synthesized to cover limitations of conventional
solvents. These green solvents have wide ranges of potential usages in real-life …

Nanosuspension-based drug delivery systems for topical applications

MME Aldeeb, G Wilar, C Suhandi… - International Journal …, 2024 - Taylor & Francis
Nanosuspensions have garnered recent attention as a promising strategy for mitigating the
bioavailability challenges of hydrophobic drugs, particularly those characterized by poor …

Simulation the adsorption capacity of polyvinyl alcohol/carboxymethyl cellulose based hydrogels towards methylene blue in aqueous solutions using cascade …

AH Alibak, M Khodarahmi, P Fayyazsanavi… - Journal of Cleaner …, 2022 - Elsevier
Almost all industries produce a large quantity of dye-contaminated wastewater. Wastewaters
containing a high dosage of methylene blue (MB) are a menace for human beings, the …

Monitoring the effect of surface functionalization on the CO2 capture by graphene oxide/methyl diethanolamine nanofluids

Z Zhou, E Davoudi, B Vaferi - Journal of Environmental Chemical …, 2021 - Elsevier
Different processes exist to capture carbon dioxide (CO 2) and reduce its undesirable effects
on the atmosphere. Stable suspensions of graphene oxide (GO) nanosheets in aqueous …

Applying feature selection and machine learning techniques to estimate the biomass higher heating value

SA Abdollahi, SF Ranjbar, D Razeghi Jahromi - Scientific Reports, 2023 - nature.com
The biomass higher heating value (HHV) is an important thermal property that determines
the amount of recoverable energy from agriculture byproducts. Precise laboratory …

Determination of the heat capacity of cellulosic biosamples employing diverse machine learning approaches

M Karimi, M Khosravi, R Fathollahi… - Energy Science & …, 2022 - Wiley Online Library
Heat capacity is among the most well‐known thermal properties of cellulosic biomass
samples. This study assembles a general machine learning model to estimate the heat …

A deep learning-based fault detection model for optimization of ship** operations and enhancement of maritime safety

P Theodoropoulos, CC Spandonidis, F Giannopoulos… - Sensors, 2021 - mdpi.com
The ability to exploit data for obtaining useful and actionable information and for providing
insights is an essential element for continuous process improvements. Recognizing the …

The effect of magnetic field on buckling and nonlinear vibrations of Graphene nanosheets based on nonlocal elasticity theory

T Pourreza, A Alijani, VA Maleki… - International Journal of …, 2022 - ijnd.tonekabon.iau.ir
In this paper, the buckling behavior and nonlinear vibrations of graphene nanosheets in the
magnetic field are studied analytically. By considering mechanical and magnetic …