Tech Xplore

Kinematic intelligence lets three different robots learn the same task safely

In today's manufacturing environments, upgrading a robot fleet often means starting from scratch—not only replacing hardware, ...
GitHub

Lab 2: Classification Using KNN and RNN Algorithms

Best when Data density is irregular Domain-meaningful distance threshold exists KNN is preferable when data density varies across the feature space, and when a fixed, predictable neighborhood is ...
IEEE

Improvement of KNN Algorithm and Research on Fruit Image Classification Technology

Abstract: The traditional K-Nearest Neighbor (KNN) algorithm often encounters problems such as weak feature expression ability and poor adaptability to fixed K-values in image classification tasks, ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
GitHub

Prathu14hub/Task-6-K-Nearest-Neighbors-KNN-Classification

To understand and implement the K-Nearest Neighbors (KNN) algorithm for solving classification problems using the Iris dataset. This project demonstrates data preprocessing, model training, evaluation ...