For decades, engineers have utilized Petri nets to develop automated systems with specific functional requirements or ...

Buttons have been pressed to electronically distribute preferences for the Senate in Victoria, the ACT, Queensland and ...

One of the most advanced solutions is dynamic graph representation learning, which embeds structural and temporal correlations into a representative vector for each node or subgraph. Existing models ...

The international watchdog classifies democratic performance into four main categories: Representation, rights, rule of law and participation–with free and fair elections and parliamentary oversight ...

Although Windows 11 includes a slew of built-in tools, many of them fall short, either lacking essential features or ...

Over the course of my career, I’ve had three distinct moments in which I saw a brand-new app and immediately felt it was ...

Eye-Tracking, Machine Learning, Distance Learning, Online Learning, E-Learning, Bibliometric Analysis Share and Cite: Ayan, E ...

Second, we model the data backup as an attributed tree graph, learn a new feature representation of the nodes with graph neural networks, and train a classifier based on the new features. Third, with ...

Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify ...

The 2025 IEEE International Conference on Robotics and Automation (ICRA) best paper winners and finalists in the various ...