There are 0 repository under swat topic.
Industrial datasets - datasets for evaluating industrial intrusion detection systems on IPAL.
A tool for data preprocess on iTrust SWaT dataset.
The automated workflow for setting up SWAT Models presented in Chawanda et al., 2019 EMS
QGIS Processing provider for SWAT based hydrological modelling
A Python wrapper for executing and calibrating the Soil and Water Assessment Tool (SWAT) in Unix/macOS systems.
This software uses a config file (config.py), which is a settings file, to build and run SWAT+ models. Users can share the config along with their published works to promote transparency as all model options are well documented in the file. Sharing the namelist and data also allows others to reproduce the models from scratch.
NASAaccess is R package that can generate gridded ascii tables of climate (CIMP5) and weather data (GPM, TRMM, GLDAS) needed to drive various hydrological models (e.g., SWAT, VIC, RHESSys, ..etc). The package assumes that users have already set up a registration account(s) with Earthdata login as well as authorizing NASA GESDISC data access. Please refer to https://disc.gsfc.nasa.gov/data-access for further details. The package relies on 'curl' (https://curl.haxx.se/) commands and library to access and download data from NASA remote sensing servers. Since Mac users have curl as part of macOS, Windows users should make sure that their local machines have 'curl' installed properly. Creating the ".netrc" file at the user machine 'Home' directory and storing the user NASA GESDISC logging information in it is needed to execute the package commands. Instructions on creating the ".netrc" and ".urs_cookies" files can be accessed at https://wiki.earthdata.nasa.gov/display/EL/How+To+Access+Data+With+cURL+And+Wget.
R scripts for the SWAT model calibration/sensitivity/uncertainty analysis
TimeGANs for synthetic data generation in cyber-physical systems using Tensorflow
New modules developed for Soil and Water Assessment Tool (SWAT) revision 664
SWAT+ model input data preparation helper
Scripts used to process data and namelist used in Chawanda et al. (2019)
A6-MITM is a program which mutates packets using ENIP (Ethernet/IP) and CIP (Common Industrial Protocol) protocols.
Comparative Analysis of Unsupervised Learning Methods for Real-time Anomaly Detection in Industrial Control Systems (ICS)
Multi-Site and -Objective calibration method for SWAT model
SWaT Testbed Historian OPC Client is meant to extract real time data of the plant using OPCUA
HTML, CSS, Vanilla JavaScript - BugSquashTheGame - my new product is a fun and interactive game that challenges your reflexes and hand-eye coordination. The game is perfect for those who are interested in learning how to code web applications.
An approach for anomaly detection in Industrial Control Systems (ICS), using Water Treatment Dataset (SWaT). The implementation incorporates cutting-edge machine learning techniques, including Isolation Forest and Autoencoder models, augmented by Dynamic Time Warping (DTW) algorithm.
A simple script to show how to download temperature data of different locations of an area from NASA POWER for SWAT module. Extracting data from NetCDF APRODITE data in SWAT input data format.
A repository hosting the documentation for the skuterud swat+ setup.
This script will interact with a cyber physical system, download its data and manipulate its values.