Abstract Nowadays, a big photovoltaic (PV) farm is operating to use solar energy as a source of electricity. Finding and estimating electrical problems on these farms is crucial to ensure the system is reliable, extract the maximum energy from it, and minimize maintenance costs.…
Restorative dentistry has completely changed as a result of dental implants, which have improved the consistency and durability of treatment for edentulism and tooth loss. In order to promote osseointegration and guarantee optimal function and aesthetics, the intrinsic properties…
This paper presents a thorough analysis of the application of convolutional neural networks (CNNs) for sophisticated X-ray fracture classification. Traditional fracture detection and classification methods frequently suffer from limited accuracy and effectiveness, necessitating t…
The study proposes a transdisciplinary approach integrating knowledge from fields such ascomputer science, botany, and data science to classifying leaf diseases. We integrated two deep-learningmodels that combine the strengths of the Inception network and the ResNet architecture…
A Smart grid stability analysis is essential for ensuring modern power systems' reliable and secure operation. This approach helps identify potential instabilities and disturbances that can lead to blackouts or equipment failures. By analyzing the stability of the grid, operators…
This paper explains about the experimental evaluation of thermophysical properties, heat transfer coefficient, Nusselt number, friction factor, and thermal performance factor of water -based reduced graphene oxide (rGO) nanofluids passes through a tube under turbulent flow condit…
In this study, the heat transfer coefficient, Nusselt number, effectiveness and number of transfer units of water mixed multi-walled carbon nanotubes nanofluids passes through a tube-in-tube heat exchanger was experimentally investigated. Investigations were performed in the oper…