Hosted.com examines the growing risk of prompt injection attacks to businesses using AI tools, including their ...

This project focuses on analyzing web server logs using Apache Hive and Hadoop Distributed File System (HDFS). The primary objectives include: Loading and querying log data efficiently. Partitioning ...

This project analyzes one year of real-world HTTP access logs from the University of Calgary’s computer science server. Using Python, pandas, and regular expressions, we clean and parse the data to ...

Monitoring and extracting trends from web content has become essential for market research, content creation, or staying ahead in your field. In this tutorial, we provide a practical guide to building ...

The analysis and visualisation of antimicrobial resistance (AMR) surveillance data is a crucial challenge, especially in high-burden, low-middle-income countries. We describe the design, development, ...

Refeyn has developed and launched a custom software platform that provides automated analysis of large mass photometry data sets. According to the company, the software suite, named StreamlineMP, was ...

Software Composition Analysis, or SCA, is a type of software security tool that focuses on analyzing open-source components within a codebase. When developers create software, they often include ...

Information is the new oil, and fast data extraction sets leaders apart. As web data grows rapidly, practical tools are needed to extract this information. Traditional web scraping methods often ...