Abstract: Machine learning and deep learning based intrusion detection systems (IDS) are being used more and more to protect computer networks from complex cyber attacks. However, these systems often ...

House GOP leaders are forging ahead on legislation aimed at imposing new federal guardrails to ensure only U.S. citizens vote in national elections. House Majority Leader Steve Scalise, R-La., ...

The higher a player’s rating, the better. And there are many factors that go into calculating a player’s grade: blocked shots, expected goals at five-on-five, goals scored at five-on-five, a player’s ...

Python is one of the most popular programming languages in the world today, with millions of developers using it for web development, data science, machine learning, automation, and more. If you’ve ...

ABSTRACT: This work contributes to the development of intelligent data-driven approaches to improve intrusion management in smart IoT environments. The proposed model combines a hybrid ...

ABSTRACT: In 2023, a multivariate normality test based on a chi-square approximation was developed. This method assumes independence among Gaussian random variables, and defines the test statistic, ...

# International endpoint key export DASHSCOPE_API_KEY="sk-..." Qwen3-ASR-Toolkit turns Qwen3-ASR-Flash into a practical long-audio pipeline by combining VAD-based segmentation, FFmpeg normalization ...

Oak Ridge National Laboratory’s Peregrine software, used to monitor and analyze parts created through powder bed additive manufacturing, has released its most advanced dataset to date. In its ongoing ...

In this project, you will utilize Python to analyze data from bike-sharing systems in three major U.S. cities: Chicago, New York City, and Washington, D.C. Your task is to write code that loads the ...