Abstract: Deep learning (DL)-based techniques have garnered significant attention as an innovative method for profiled side-channel analysis (SCA). Despite their proven effectiveness, recent studies ...

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The methodology presented here is described in depth in Kalirad, A., & Sommer, R. J. (2025). Ecological graph theory: Simulating competition and coexistence on graphs ...

For most people, swallowing is second nature, but how does it occur, and why do some people have difficulty with it? Researchers at Kyushu University in Japan have started to tackle these questions by ...

Traditional reinforcement learning methods, such as using reverse KL divergence, often enhance the accuracy of a model's single response but tend to lead the model to overly focus on a few ...

The expanded TPB + E + H framework has greater explanatory power to understand waste separation behavior, and can be flexibly applied in a variety of geographic and cultural contexts. Household waste ...

Abstract: The latent world model, which efficiently represents high-dimensional observations within a latent space, has shown promise in reinforcement learning-based policies for visual control tasks.