Background The critical role of thermal conductivity (TC) as a significant thermo-physical
property in MXene/graphene-based nanofluids for photovoltaic/thermal systems has …

Accurately predicting thermo-physical properties (TPPs) of MXene/graphene-based
nanofluids is crucial for photovoltaic/thermal solar systems, driving focused research on …

The deep vision sensing has been a practical tool in early disease detection, and this work
aims at an important branch of ocular disease recognition. Although a number of …

The performance of substitute osteoconductive scaffolds in guiding new bone formation and
creating vital biological conditions in living organisms is of crucial importance. In this study …

This paper aims to explore the utilization of machine learning techniques for the accurate
prediction of rheological properties in a specific nanofluid system, ZnO (50%)-MWCNTs …

Parkinson's disease (PD) is a leading neurodegenerative disease globally. Precise and
objective PD diagnosis is significant for early intervention and treatment. Recent studies …

Due to the lack of mineral sources of Vanadium (V) in many parts of the world and its recent
applications in the field of medicine (as an anti-tumor agent), one of the biggest sources of V …

This study aims to explore the potential of a scaffold composed of drug-chitosan-
hydroxyapatite (HA) in improving tissue treatment. The focus of the investigation lies in …

Cataract is the leading ocular disease of blindness and visual impairment globally. Deep
neural networks (DNNs) have achieved promising cataracts recognition performance based …

Radar image quality is severely harmed by phase error, which is mostly caused by the
random fluctuations of ionospheric abnormalities and the dispersion properties of the …