Abstract: Medical image classification has been significantly improved by Convolutional Neural Networks (CNN), enabling efficient and accurate diagnosis, especially in detecting brain tumors. Despite ...

Abstract: Following the great success of deep convolutional neural networks (CNNs) in computer vision, this paper proposes a complex-valued CNN (CV-CNN) specifically for synthetic aperture radar (SAR) ...

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WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...

A lightweight, gradient-efficient unlearning framework that maintains test accuracy and membership inference resilience at high data-removal ratios without requiring extra retraining. Unlearned ...

It appears that the List of All Adversarial Example Papers has been experiencing crashes over the past few days. In the absence of this valuable resource, staying up-to-date with the latest research ...

It's a very interesting stage, and I'm sure Dominika and I will enjoy racing together again as we try to achieve the best possible result." The second of the three stages measured just under 100km and ...

Stage-by-stage analysis of the French Grand Tour ...

Paul Seixas overcomes a crash and a 60km chase to stay in the GC hunt as Luke Tuckwell narrowly holds on to the overall race ...