How-To Geek on MSN

How to Use the Python Statistics Module

The Python statistics module is a built-in module for performing simple statistical calculations. Since it's part of the standard Python library, it's available in every Python installation. To access ...
The Intercept

Alex Karp Insists Palantir Doesn’t Spy on Americans. Here’s What He’s Not Saying.

In an exchange this week on “All-In Podcast,” Alex Karp was on the defensive. The Palantir CEO used the appearance to downplay and deny the notion that his company would engage in rights-violating in ...
Wall Street Journal

Hang Seng Index HSI

Stocks: Real-time U.S. stock quotes reflect trades reported through Nasdaq only; comprehensive quotes and volume reflect trading in all markets and are delayed at least 15 minutes. International stock ...
IEEE

AntiViralDL: Computational Antiviral Drug Repurposing Using Graph Neural Network and Self-Supervised Learning

Abstract: Viral infections have emerged as significant public health concerns for decades. Antiviral drugs, specifically designed to combat these infections, have the potential to reduce the disease ...
IEEE

Sign Language Recognition Using Graph and General Deep Neural Network Based on Large Scale Dataset

Abstract: Sign Language Recognition (SLR) represents a revolutionary technology aiming to establish communication between hearing impaired and non-hearing impaired communities, surpassing traditional ...
IEEE

MCGS-ReID: A Visible-Infrared Vehicle Reidentification Method Using Modal-Cross Graph Sampler

Abstract: With the rapid development of Earth observation technology and UAV technology, utilizing UAVs equipped with various sensors for cross-modal vehicle reidentification has become one of the ...
IEEE

DynKDD: Dynamic Graph-Based Network Intrusion Detection Using Graph Neural Networks

Abstract: The inability to capture the temporal dynamics of network interactions limits traditional intrusion detection systems (IDSs) in detecting sophisticated threats that evolve over time. This ...
IEEE

Link Prediction in Educational Graph Data to Predict Elective Course using Graph Convolutional Network Model

Abstract: Personalized learning has achieved the attention of many researchers in the Education field. Personalized learning is a teaching model in which students (learners) have a central role in the ...
IEEE

CEGen: Cause-Effect Graph Generation Using Large Language Models

Abstract: Black-box testing is vital for software quality assurance, focusing on system behavior without internal details. Cause-Effect Graphs (CEGs) visualize relationships between inputs and outputs ...
IEEE

AI-Driven Threat Intelligence using Graph Neural Networks for Advanced Cybersecurity Defense

Abstract: The continuous growth of cyber threats needs sophisticated and adaptive defensive systems capable of proactively detecting malicious activity across complicated network architectures. This ...
IEEE

State Estimation for Power Distribution System Using Graph Neural Networks

Abstract: State estimation is critical to maintaining system stability and reliability as it enables real-time monitoring of the power system operation and facilitates fault detection, minimizing the ...
IEEE

Identifying Fake Accounts on Social Media Using Graph Neural Networks

Abstract: We proposed a multimodal machine learning approach to identify fake accounts on social media platforms. First, we employed Support Vector Machine (SVM) to analyze the activity status of ...