In this work, we developed a compact portable e-nose comprising gas sensor array and integrated machine learning models to identify and to classify the origins of different meat floss products. To enhance the system accuracy, a window time slicing method was applied during the feature extraction p...
In short, the stronger a student is embedded and feels integrated into the university community – particularly in their first year – the less likely the student will drop out42,52. Predicting retention using machine learning A large proportion of research on student attrition has focused on ...
In Object Explorer you can right-click on any object in the “tree” under an instance and select “Start PowerShell”, and sqlps.exe will start up, and the Set-Location cmdlet is used to set the current location in the shell window to the object you pointed to. This provides a very...
An operation on a socket could not be performed because the system lacked sufficient buffer space or because a queue was full. An Unable to write data to the transport connectionestablished connection was aborted by the software in your host machine An unhandled exception occurred during the execut...
To help ensure the hardware is capable of Discrete Device Assignment, you can run themachine profile scripton a Hyper-V enabled host. The script tests if your server is correctly set up and what devices are capable of Discrete Device Assignment. ...
In the context of a business object API, the Map step executes a business object API method to get data, and the Reduce step combines all the Map step result sets into one final result set (doing a union by primary key, or an aggregation like a sum by group, for example) that’s ...
machine It is called rotor side converter (RSC)21. These two inverters need a control strategy, as the control strategy chosen to control the inverters plays a big role in the quality of the power sent to the grid. In addition, a separate control inverter is used for each inverter, so ...
MAGPIE is a computational method to predict the pathogenicity of multiple variant types using a gradient-boosting machine learning framework (Fig.1). To prepare data used for modeling, we collected all mutations with a pathogenic interpretation in the ClinVar database and selected mutations labeled ...
However, approaches based on supervised machine-learning techniques require large databases, training resources and human-assisted annotation. Moreover, they admit only a limited number of predefined classes and therefore do not provide a generalizable method to characterize the multitude of rapid time-...
Performing a Bivariate local Moran’s I analysis on park accessibility and population density at the block level in Chaoyang District using GeoDa software61, the formula is as follows: $$I_{i} = Z_{xi} \mathop \sum \limits_{{j = 1,{ }j \ne i}}^{n} W_{ij} Z_{yj}$$ where...