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Веб-приложение и набор утилит, которые обрабатывают данные World Ocean Database и ICES для обновления референсных значений океанографических характеристик (норм и аномалий) на разрезе "Кольский Меридиан" и построения отчетных изображений для лаб. ОиР ММБИ РАН.
Thesis project about Visual Anomaly Detection based on Self Supervised Learning. The model identifies anomalies from information acquired during training, where normality and anomaly patterns are built using syntetic data
This project uses the ELK Stack (Elasticsearch, Logstash, and Kibana) to analyze web application logs. It tracks user activities such as logins, registrations, password resets, and failed login attempts. Interactive dashboards built using Kibana provide insights and detect anomalies.
A framework for time-series anomaly detection. The framework consists a prediction module and a detection module. Prediction module is based on LSTM and CNN. DTW is used in detection module .
This repository aims to identify discords in time series data using the HOT SAX publication as a role model. The base code is result of the work of Dr. Christian Gruhl, while alterations to add the alternative to HOT are the work of this student project.
An immersive web-based simulation of the SCP Foundation database with realistic terminal interface, security clearance system, and atmospheric design. Access SCP files, personnel records, and interact with a command-line console in this fan project.