Dark Reading

AI System Reduces Attack Reconstruction Time From Weeks to Hours

Pacific Northwest National Labs trains an AI system, dubbed ALOHA, to recreate attacks and test them against organizations' ...
Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
IEEE

Distribution network fault identification based on AdaBoost combined with KNN algorithm

Abstract: This paper addresses the challenge of fault type identification in distribution networks, where small-current grounding systems often lead to weak fault current characteristics and limit the ...
IEEE

Optimizing K-Nearest Neighbor Values Using The Elbow Method

Abstract: Optimizing the K value in the K-Nearest Neighbor (KNN) algorithm is a critical step in enhancing model performance, particularly for tasks related to classification and prediction. The Elbow ...