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 ...
Abstract: In this letter, a machine learning-based algorithm, K-nearest neighbor, is employed to predict the actual patterns of the linear arrays with arbitrary positions and varied element numbers.
This project uses Machine Learning to classify Iris flowers into three different species based on their physical measurements. The classification is performed using the K-Nearest Neighbors (KNN) ...
Welcome to the official repository for Unblur-SLAM, a dense neural RGB SLAM pipeline designed for sharp 3D reconstruction from blurry image inputs. In contrast to previous work, Unblur-SLAM can handle ...
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