Amid constantly changing tariff rates, the firing of top government officials, and splashy headlines about their implications, it can be hard for companies to plan for the future. Which data is ...

3 To address these limitations, text analysis ... removed duplicates using DOI and title, yielding a final dataset of 2 512 445 documents. Titles and abstracts were processed to extract time-related ...

A federal judge has temporarily blocked the Department of Health and Human Services (HHS) from sharing the personal data of Medicaid enrollees with immigration officials. District Judge Vince… ...

A duress PIN is a secondary PIN that triggers a complete and irreversible wipe of your device, making it useless to any attacker.

We introduce a Hierarchical Feature-based Time Series Clustering (HFTSC) approach that organizes clustering in a multi-level tree structure. Each level addresses a specific aspect of time series data ...

IPL-Data-Analysis IPL Data Analysis using Python: Explore match trends, team performance, toss impact, and top players. Visualizations built with Matplotlib & Seaborn.

Bouygues Telecom warns it suffered a data breach after the personal information of 6.4 million customers was exposed in a cyberattack.

This project is a Sales Data Analysis done using a sample Superstore dataset. It uses Python (pandas, matplotlib) for data cleaning, exploration, and visualization.

Recent advancements in FTS analysis have addressed various challenges such as modeling long-range dependence [11], developing predictive methods for high-dimensional data [12], and incorporating ...