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 ...

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...

Abstract: Multivariate Time Series Classification (MTSC) has important research significance and practical value. Deep learning models have achieved considerable success in addressing MTSC problems.

Abstract: In this paper, a Mahalanobis Distance-based Graph Attention Network for graph classification, is proposed. In contrast to traditional Graph Attention Networks, the proposed approach learns ...

In Lebanon's Bekaa Valley, a monastery has become a sanctuary for hundreds of internally displaced Shia Muslims fleeing Israeli bombings. Has Allu Arjun surpassed Vijay to become the highest-paid ...

This module is meant to be used as a tool for EEG signal analysis based on graph signal analysis methods. The development of this toolbox takes place in GitHub. EEGraSP package uses other libraries ...

Graph Neural Networks GNNs are advanced tools for graph classification, leveraging neighborhood aggregation to update node representations iteratively. This process captures local and global graph ...

When discussing motion, velocity is a key concept to understand. Velocity refers to the speed of an object in a specific direction. To calculate the average velocity, one must take into account the ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ramya Krishnamoorthy shares a detailed case ...