Search Results for "linux malware detect"

A tool to enforce Swift style and conventions, loosely based on the now archived GitHub Swift Style Guide. SwiftLint enforces the style guide rules that are generally accepted by the Swift community. These rules are well described in popular style guides like Ray Wenderlich’s Swift Style Guide. SwiftLint hooks into Clang and SourceKit to use the AST representation of your source files for more accurate results. You might want to move your SwiftLint phase directly before ‘Compile Sources’...

Multivariate Calculus Robot is designed to analyze and work on every available Currency Pair. Calculus Robot Implements algorithms that govern their work. These algorithms detect some sort of "Waves" in the Forex Market. In Robot's Default Configuration, the Average Trade length is twelve hours. Take Profit delta is equal to the Stop Loss delta in every trade. That kind of trade operation is symmetrical, which means that if the BUY operation was a loss and then reversed it, the SELL...

Fiducial markers such as QR codes, ArUco, and AprilTag have become very popular tools for labeling and camera positioning. They are robust and easy to detect, even in devices with low computing power. However, their industrial appearance deters their use in scenarios where an attractive and visually appealing look is required. In these cases, it would be preferable to use customized markers showing, for instance, a company logo. This work proposes a novel method to design, detect, and track...

An async Python library to automate solving ReCAPTCHA v2 by images/audio using Mozilla's DeepSpeech, PocketSphinx, Microsoft Azure’s, Google Speech and Amazon's Transcribe Speech-to-Text API. Also image recognition to detect the object suggested in the captcha. Built with Pyppeteer for Chrome automation framework and similarities to Puppeteer, PyDub for easily converting MP3 files into WAV, aiohttp for async minimalistic web-server, and Python’s built-in AsyncIO for convenience.

Small Java program to compare two texts, originally designed to be used to find quotations in a Byzantine anthology. It can quite likely be used to detect plagiarism between two texts as well Graphical interface which allows easy navigation between corresponding parts in the two different texts. Uses the http://software.jessies.org/salma-hayek/ Java TextArea for this. Probably very much can be done to improve this program and the algorithm which it uses.