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An Integer Clustering Approach for Modeling Large-Scale EV Fleets with Guaranteed Performance
Large-scale integration of electric vehicles (EVs) leads to a tighter integration between transportation and electric energy systems.
Impacts of Dynamic Line Ratings on the ERCOT Transmission System
Grid regulators and participants are paying increasing attention to Dynamic Line Ratings (DLR) as a new approach to address transmission system bottlenecks.
A study of computational and conceptual complexities of compartment and agent based models
The ongoing COVID-19 pandemic highlights the essential role of mathematical models in understanding the spread of the virus along with a quantifiable and science-based prediction of the impact of various mitigation measures.
Towards Robustness of Deep Neural Networks via Regularization
Recent studies have demonstrated the vulnerability of deep neural networks against adversarial examples.
Defending Against Adversarial Examples by Regularized Deep Embedding
Recent studies have demonstrated the vulnerability of deep convolutional neural networks against adversarial examples.
