Quite light, computers with weak configuration can also handle smoothly compared to other algorithms such as CNN, SVM. Suitable for students who want to learn the basics of image processing or ...

Abstract: We study the certification of stability properties, such as robustness and individual fairness, of the k-Nearest Neighbor algorithm (kNN). Our approach leverages abstract interpretation, a ...

It compares algorithms like KNN, Naïve Bayes, Logistic Regression, Random Forest, SVM, XGBoost, and Neural Networks, alongside hybrid models (e.g., LR+NB, RF+LR), to identify the most effective ...

Abstract: Deep learning (DL) is widely used in radio frequency fingerprint identification (RFFI). However, in few-shot case, traditional DL-based RFFI need to construct auxiliary dataset to realize ...