Abstract: This study presents an image-based classification approach for assessing the quality of locally made earthen ceramic pots by integrating deep learning with handcrafted texture analysis. A ...

Abstract: This article presents a fast and accurate electrocardiogram (ECG) denoising and classification method for low-quality ECG signals. To achieve this, a novel attention-based convolutional ...

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Automated image colorization might be the most dramatic AI enhancement feature in visual effects. It predicts the original colors that should be present based on black-and-white images, resulting in ...

This project provides an unsupervised learning solution for detecting anomalies in time-series data, specifically demonstrated on synthetic network traffic. It leverages a Long Short-Term Memory (LSTM ...