The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

Abstract: This paper proposes a framework for deep Long Short-Term Memory (D-LSTM) network embedded model predictive control (MPC) for car-following control of connected automated vehicles (CAVs) in ...

Abstract: In order to represent the influences of different semantics on targets and improve the prediction with interpretability ability for multi-dimensional time series, we integrate Axiomatic ...

Intelligent Connected Vehicles and Smartphones contain a large number of APK files, which have intricate call relationships between them. An innovative approach has been proposed to create a visual ...

A nutrient-rich diet supports brain health and may help prevent chronic diseases linked to cognitive decline. Fatty fish, leafy greens, berries, and walnuts are especially beneficial due to their high ...

This project is a Python-based, end-to-end STRIDE threat modeling and analysis framework with MITRE ATT&CK mapping. It enables you to: ...