Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Abstract: The manual diagnosis of diabetic retinopathy (DR) is often invasive, time-consuming, expensive, and prone to human error. Additionally, it can be subjective ...
Abstract: Network Intrusion Detection Systems (NIDS) are widely used to secure modern networks, but deploying accurate and scalable Machine Learning (ML)-based detection in high-speed environments ...
A comprehensive dataset of fruit images in both raw and ripe states, designed for fruit maturity recognition tasks. The dataset includes images of 10 different fruit types, enabling various ...
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