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A python package that extends Google Earth Engine.
In this work, we will use radar pulse waves emitted by a radar in a specific area to detect and count the number of people present in an area at a particular moment .Thus, we will study the reflected signals coming from this area. To satisfy our goal, we are confronted with many problems, namely the difficulty of separating the human signal from the noises and the cluters, the under-detection problem where certain instance of human being are not detected. In order to solve these problems and to reach our goal, we proceed to the analysis of the reflected signal by applying the wavelet transformation in order to be able to decrease the size of the signal and to eliminate the noises,then we proceed to the creation of the features based on the statistical and entropic properties of the signal those which will allow us to apply on our created features four algorithm of classification has to say ANN, RandomForest, Logistic Regression and Adaboost in order to predict the number of person present in this specific area. The result is that the RandomForest classifier with the daubechies 4 (db4) wavelet gives us a better accuracy equal to 97%,compared to the coiflet 4 (coif4), biorthogonal 3.5 (bior3.5) and symlet 4 (sym4) wavelets. The different tools used in this work are the pywavelets , sklearn and TensorFlow libraries of python.
Simulation model for dispersion of pollutants resulting from a university central heating system, in an urban city centre.
A Python package for data analysis with permutation entropy and ordinal networks methods.
We offer a program for mapping atmospheric pollutants via satellite. Satellite access is realized with python
Python implementation of autoencoder based radio system
"Analyzing Satellite Images With Python Scientific Stack" by Milos Miljkovic
Use the HYSPLIT model from inside R and do more with it
sample scripts what I use in my D2D work
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.