With the widespread application of artificial intelligence technology in the field of biomedical images, the deep learning-based detection of vaginal discharge, an important but challenging topic in medical image processing, has drawn an increasing amount of research interest.Although the past few decades have witnessed major advances in object det
In this work, we propose a systematic procedure to design a fuzzy logic controller (FLC) to control the lateral motion of powered parachute (PPC) flying vehicles.The design process does not require knowing the details of vehicle dynamics.Moreover, the physical constraints of the system, such as the iphone 13 dallas maximum error of the yaw angle an
Ethnology, as a science, continues to dedicate very much attention to the traditional culture of silver lining herbs kidney support Serbian 19th century villages.In the past, material culture with all of the disappearing, relic artifacts no longer in use was in the focus of the science.A large amount of data was gathered, on the population origins,
This article investigates the application of eXtreme gradient boosting (XGBoost) and hybrid metaheuristics optimisation techniques to predict the axial load bearing capacity of fully grouted rock bolting systems.For this purpose, a comprehensive dataset of 72 pull-out tests was built, considering various influential parameters such as three water-t
Abstract Purpose During the acquisition of MRI data, patient-, sequence-, or hardware-related factors can introduce artefacts that degrade image quality.Four of the most significant tasks for improving MRI image quality have been bias field correction, super-resolution, motion-, and noise correction.Machine learning has achieved outstanding results