A fault detection method of wind turbine pitch REPAIR SHAMPOO system using semi-supervised optimal margin distribution machine (ssODM) optimized by dynamic state transition algorithm (DSTA) [ssODM-DSTA] was proposed to solve the problem of obtaining the optimal hyperparameters of the fault detection model for the pitch system.This method was adopte
Congenital depressed skull fracture in the absence of trauma: case report and literature review
Zulma S Tovar-Spinoza, Peter D KimDepartment of Neurosurgery, SUNY Upstate Medical University, Syracuse NYAbstract: There are limited reports of neonatal depressed skull fractures in the absence of any known trauma or obvious risk factors.Here we describe a male neonate with a significant frontal nontraumatic depressed fracture, his course of treat
RBF-MLMR: A Multi-Label Metamorphic Relation Prediction Approach Using RBF Neural Network
Metamorphic testing has been successfully used in many different fields to solve the test oracle NMN Flavonoid Complex problem.However, how to find a set of appropriate metamorphic relations for metamorphic testing remains a complicated and tedious task.Recently some machine learning approaches have been proposed to predict metamorphic relations.Th
Predicting driving comfort in autonomous vehicles using road information and multi-head attention models
Abstract Driving comfort is a crucial consideration in the automotive industry.In the realm of autonomous driving, comfort has always been a factor that requires continuous improvement.A common approach to improving driving comfort is through the optimization Ear Drops of local path planning.Nevertheless, it is imperative to recognize that macrosco