Consequently, it cannot provide a reliable and effective basis for practical engineering applications. To address the above issues, this study proposes an improved GA-SVM algorithm based on the PJS-M ...

This study uses hyperparameter optimization to improve accuracy in classifying CKD or chronic kidney disease with the use of a Support Vector Machine algorithm or SVM. SVM is combined with the Grid ...

While technology enables brands to be with consumers 24/7, many of them are becoming disconnected from audiences’ cultural realities.

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.

2. Related Work In 2022, another research team proposed a greenhouse localization algorithm based on deep learning [8]. This algorithm can accurately determine the location information inside the ...

ros 2 software stack for a real-time obstacle avoidance algorithm using svm-like virtual barriers. - inhald/svm_self_driving_algo ...

Rockburst is a dynamic instability disaster occurring in deep underground engineering under high ground stress, caused by the release of elastic strain energy within the surrounding rock during ...

Support Vector Machine is a versatile and powerful algorithm for classification and regression tasks. Its ability to handle high-dimensional data, its robustness to outliers, and its ability to learn ...