Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

scv.tl.velocity_graph(adata, n_jobs=8) ----- ValueError Traceback (most recent call last) Cell In[16], line 1 ----> 1 scv.tl.velocity_graph(vel0, n_jobs=8) File ...

Abstract: This paper presents a novel velocity planning method in displacement-time graphs with multiple constraints and optimization goals using deep reinforcement learning. The method formulates the ...

Abstract: Accurate prediction of agent motion trajectories is crucial for ensuring the safety and reliability of autonomous driving systems. Current research predominantly focuses on traditional deep ...

In physics, displacement is a key concept that allows us to measure an object’s overall change in position. One way to determine such displacement is by analyzing a velocity-time graph. In this ...

Aspect Sentiment Triplet Extraction (ASTE) is a challenging task in natural language processing (NLP) that aims to extract triplets from comments. Each triplet comprises an aspect term, an opinion ...

With the development of social economy and smart technology, the explosive growth of vehicles has caused traffic forecasting to become a daunting challenge, especially for smart cities. Recent methods ...

Graph neural network (GNN) is a powerful model for learning from graph data. However, existing GNNs may have limited expressive power, especially in terms of capturing adequate structural and ...