This project involves the design and development of a miniature remote-controlled car powered by an Arduino microcontroller, enhanced with advanced smart features like emergency braking and infrared ...

Abstract: Guessing random additive noise decoding (GRAND) has enabled the practical implementation of maximum likelihood (ML) or near-ML decoding, shifting the paradigm of code-specific decoder design ...

Abstract: Unsupervised anomaly detection (UAD) aims to recognize anomalous images based on the training set that contains only normal images. In medical image analysis, UAD benefits from leveraging ...

Please generate ".txt" files for train data and test data separately. In the ".txt" file, each line consists of the path of image and mask corresponding to the image ...