Abstract: This paper explores the use of machine learning (ML) methods to identify "clusters" of basic emotions based on pleasure, arousal, and dominance (PAD). The data was obtained from the Dataset ...

Abstract: Deep Reinforcement Learning (DRL) makes a big improvement for robotic control. However, training stable and efficient bipedal gaits like walking and running still remains challenging.

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

Create, view, and edit professional diagrams collaboratively as part of your Microsoft 365 subscription. Visio in Microsoft 365 brings core Visio capabilities to Microsoft 365 and helps you create ...

To get a clearer grip on what that something is, we need to understand what happens when we change between fuzzy values and ...

Note: All implementations are based on published papers and publicly available code. Contributions and corrections are welcome via PR.

Neural Network-Based Mesh Smoothing(NN-Smoothing) Deep Reinforcement Learning-Based Mesh Smoothing(DRL-Smoothing) Mesh Optimization with Adam Optimizer(Adam-Smoothing) ...

A TOI investigation reveals that seemingly isolated cricket betting hubs in India are part of a larger offshore network, ...