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Susceptibility of Continual Learning Against Adversarial Attacks
To assess the robustness of continual learning approaches, we consider continual learning approaches in all three scenarios, i. e., task-incremental learning, domain-incremental learning, and class-incremental learning.
Comparative Analysis of State-of-the-Art Deep Learning Models for Detecting COVID-19 Lung Infection from Chest X-Ray Images
In particular, our trained models MobileNet, EfficentNet, and InceptionV3 achieved a classification average accuracy of 95\%, 95\%, and 94\% test set for COVID-19 class classification, respectively.
Power and Performance Efficient SDN-Enabled Fog Architecture
Besides, power efficiency and performance evaluation in SDN-enabled fog computing is an area that has not yet been fully explored by the research community.
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