To address the problems of low classification accuracy, redundancy of feature subsets, and performance susceptibility to parameters in wrapper-based feature selection in traditional Support Vector ...

A support vector machine (SVM) is an important method in the detection and classification of the color difference on a polysilicon wafer. However, the accuracy of a SVM is affected by its feature ...

IEEE Code of Ethics on professional activities. We, the members of the IEEE, in recognition of the importance of our technologies in affecting the quality of life throughout the world, and in ...

Facing algorithm questions in a programming interview can be daunting, but with the right strategies, you can master them. Algorithm questions test your problem-solving skills, your understanding ...

Lost circulation events during drilling operations are known for their abruptness and are difficult to control. Traditional diagnostic methods rely on qualitative indicators, such as mud pit volume ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs ...

Classification Analysis with supervised algorithms KNN, RandomForest and SVM. Use of PCA and K-means to recognize the importance of features. dplyr random-forest rstudio machine-learning-algorithms ...