Search Results for "web attacks detection"

A modern, stand alone browser-based serial terminal for UART communication with microcontrollers, embedded devices, and IoT hardware. No installation required - just open in your browser and connect to your serial device. Just unpack the zip file into local folder and open index.html in Chrome/Edge/Opera. Works on Windows/Linux/MaOS

DataCleaner is a data quality analysis application and a solution platform for DQ solutions. It's core is a strong data profiling engine, which is extensible and thereby adds data cleansing, transformations, enrichment, deduplication, matching and merging. Website: http://datacleaner.github.io

A consumer API that can process the response of an ontology evaluation web service provider.

RODS (Real-time Outbreak and Disease Surveillance) is a real-time computer-based public health surveillance system initially developed at the RODS Laboratory, University of Pittsburgh for the early detection of disease outbreaks .

Calculate the number of solutions to place n queens on an n*n chess board, without any queen attacking each other. Options allow using rooks instead of queens, disabling knight attacks and setting the minimum distance between queens.

A system to perform analysis of large documents for the purpose of cataloging similar documents. Similarity is based upon contextual analysis of these documents done by identifying common words and proper nouns.

Re-searcher is the system for recurrent psiblast searches. It enables timely detection of new proteins on the protein sequence databases. Searches can be done on a local server or at NCBI. It has a user-friendly web interface.

Java framework for face detection and face recognition based on different plugin and filter types. Includes Eigenfaces in pure Java, OpenCV detection via JNI, integration of the Betaface.com Web Service, skin color filter, Adobe XMP Export and a nice GUI

Tesbo is an open source AI-powered test case management software built for QA teams. Tesbo's Context Engine reads your actual project requirements from Jira and Linear, existing test cases, product documentation, and defect history before generating a single test case. Every draft cites exactly which requirement, document, and defect shaped it. Nothing enters your repository without a QA engineer approving it first. The engine learns from every approval, edit, and rejection, so generated...