Pooya Shirazi's Projects
Code for Extract Data from RBSN Stations Data.
My Website!
Data to Decisions Dashboard
KHRW Dashboard...
My Dashboard ...
Running V2ray inside edge/serverless runtime
Code and data to train the MLMs included in the article submitted to Journal of Hydroinformatics
Paper for IEEE Escience on Machine Learning and Evapotranspiration
Single Page App with Flask and Vue.js
Demo for using Machine Learning techniques in R to create flood susceptibility maps. Classification And Regression Tree (CART), Support Vector Machine (SVM), and Gradient Boosting Machine (GBM) are experimented with. This demo uses the Red River Valley in Manitoba as a case study, where there was a major flood that occurred back in 2011.
Gantt chart for HTML/JavaScript. Utilizes D3.js, Require.js, Backbone, and Underscore.
Code for the "Mapping hourly urban evapotranspiration using Sentinel-2, open geodata and machine learning" manuscript
Machine Learning models to predict daily Actual Evapotranspiration of citrus orchards
Machine learning to predict floods
nodejsๅฎ็ฐvless
Daily Reference Evapotranspiration Modeling by Using Panel Data Approach in Arid and Semi-arid Regions of Iran.
Implementation of Climdex indices in Python/xarray/dask
Content from the University of British Columbia's Master of Data Science course DSCI 511.
QDWB is a Quasi Distributed Water Balance model to estimate the water balance parameters using a distributed method.
Regional Basic Synoptic Network (RBSN) of IRAN